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16 pages, 2175 KiB  
Article
Evaluation of Electric Muscle Stimulation Method for Haptic Augmented Reality
by Takaya Ishimaru and Satoshi Saga
Sensors 2023, 23(4), 1796; https://doi.org/10.3390/s23041796 - 5 Feb 2023
Viewed by 2718
Abstract
Currently, visual Augmented Reality (AR) technology is widespread among the public. Similarly, haptic AR technology is also widely practiced in the academic field. However, conventional haptic AR devices are not suitable for interacting with real objects. These devices are often held by the [...] Read more.
Currently, visual Augmented Reality (AR) technology is widespread among the public. Similarly, haptic AR technology is also widely practiced in the academic field. However, conventional haptic AR devices are not suitable for interacting with real objects. These devices are often held by the users, and they contact the real object via the devices. Thus, they prevent direct contact between the user and real objects. To solve this problem, we proposed employing Electrical Muscle Stimulation (EMS) technology. EMS technology does not interfere with the interaction between the user and the real object, and the user can wear the device. First, we examined proper stimulus waveforms for EMS, in addition to pulse waveforms. At the same time, we examined the appropriate frequency and pulse width. The waveforms that we used this time were a sawtooth wave, a reverse sawtooth wave, and a sine wave. Second, to clarify the characteristic of the force presented by the EMS, we measured the relationship between the input voltage and the force presented and obtained the point of subjective equality using the constant method. Subsequently, we presented the bump sensation using EMS to the participants and verified its effectiveness by comparing it with the existing methods. Full article
(This article belongs to the Section Sensing and Imaging)
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<p>The stimulus waveform that we used in the experiment.</p>
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<p>Overview of the voltage and presentation force measurement system.</p>
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<p>Changes in sensation (<b>a</b>) with frequencies; There are no statistically significant differences (<b>b</b>) with pulse width; we confirmed statistically significant differences except for the n. s. pair (<b>c</b>) with waveforms; this figure shows only combinations that are significantly different from pulse waves. *, ** and **** represent significance levels of 5%, 0.5%, and 0.005%.</p>
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<p>Presentation forces; (<b>a</b>) for each frequency; (<b>b</b>) for each pulse width; and (<b>c</b>) for each waveform. In (<b>c</b>), the outliers are excluded.</p>
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<p>Measurement of forces and their PSE; (<b>a</b>) measurement of force induced by the EMS; (<b>b</b>) measurement of force generated by the motor.</p>
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<p>PSE between the force induced by the EMS and the motor.</p>
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<p>Haptic AR presentation system.</p>
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<p>Overall results between methods; the vertical axis is the average similarity for each method. There were statistically significant differences between EMS and vibration and EMS and SPIDAR. *** and **** represent significance levels of 0.05%, and 0.005%.</p>
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13 pages, 4836 KiB  
Article
Development of a Wearable Haptic Glove Presenting Haptic Sensation by Electrical Stimulation
by Dongbo Zhou, Wataru Hayakawa, Yoshikazu Nakajima and Kotaro Tadano
Sensors 2023, 23(1), 431; https://doi.org/10.3390/s23010431 - 30 Dec 2022
Cited by 2 | Viewed by 2809
Abstract
Most haptic devices generate haptic sensation using mechanical actuators. However, the workload and limited workspace handicap the operator from operating freely. Electrical stimulation is an alternative approach to generate haptic sensations without using mechanical actuators. The light weight of the electrodes adhering to [...] Read more.
Most haptic devices generate haptic sensation using mechanical actuators. However, the workload and limited workspace handicap the operator from operating freely. Electrical stimulation is an alternative approach to generate haptic sensations without using mechanical actuators. The light weight of the electrodes adhering to the body brings no limitations to free motion. Because a real haptic sensation consists of feelings from several areas, mounting the electrodes to several different body areas can make the sensations more realistic. However, simultaneously stimulating multiple electrodes may result in “noise” sensations. Moreover, the operators may feel tingling because of unstable stimulus signals when using the dry electrodes to help develop an easily mounted haptic device using electrical stimulation. In this study, we first determine the appropriate stimulation areas and stimulus signals to generate a real touch sensation on the forearm. Then, we propose a circuit design guideline for generating stable electrical stimulus signals using a voltage divider resistor. Finally, based on the aforementioned results, we develop a wearable haptic glove prototype. This haptic glove allows the user to experience the haptic sensations of touching objects with five different degrees of stiffness. Full article
(This article belongs to the Special Issue Sensor-Based Motion Analysis in Medicine, Rehabilitation and Sport)
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<p>The candidate stimulation areas.</p>
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<p>Stimulus signals. (<b>a</b>) Bidirectional square wave with three kinds of amplitudes and (<b>b</b>) continuous and intermittent bidirectional square waves.</p>
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<p>Appearance of the experiment.</p>
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<p>Experimental results. (<b>a</b>) Rate of the sensation reality (the red crosses represent the mean of the rating value) and (<b>b</b>) Position where the “contact” sensation was sensed.</p>
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<p>Voltage divider circuit.</p>
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<p>Dry electrode for finger stimulation and its installation.</p>
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<p>Developed wearable haptic glove system.</p>
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<p>The electrode layout inside the haptic glove.</p>
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<p>The appearance of the experiment and a view of the virtual world.</p>
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<p>Schematic of determining the stimulus amplitude.</p>
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<p>Results of the stiffness discrimination experiment.</p>
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<p>Appearance of measuring the muscle contraction force.</p>
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28 pages, 3548 KiB  
Article
Role of Augmented Reality in Changing Consumer Behavior and Decision Making: Case of Pakistan
by Syed Hasnain Alam Kazmi, Rizwan Raheem Ahmed, Kamran Ahmed Soomro, Alharthi Rami Hashem E, Hameed Akhtar and Vishnu Parmar
Sustainability 2021, 13(24), 14064; https://doi.org/10.3390/su132414064 - 20 Dec 2021
Cited by 32 | Viewed by 13515
Abstract
Marketers and advertisers ignore new technology and diverse marketing tactics when attempting to increase product exposure, customer engagement, customer behavior and buying intention in fashion accessory marketplaces in developing countries. This research sought to discover how the Augmented Reality (AR) experience influenced consumer [...] Read more.
Marketers and advertisers ignore new technology and diverse marketing tactics when attempting to increase product exposure, customer engagement, customer behavior and buying intention in fashion accessory marketplaces in developing countries. This research sought to discover how the Augmented Reality (AR) experience influenced consumer behavior, buying intention and pleasure when purchasing a fashion item in developing countries. This study employs positivist ideas to investigate the connections between various factors, believing that reality is unwavering, stable, and static. Experiential marketing following stimulus exposure will gather cross-sectional data. The undertaken study has developed proper experimental design (within group) from business innovation models, for instance, uses and gratification and user experience models. User experience is disclosed by its four defining characteristics: hedonic quality (identification and simulation), aesthetic quality, and pragmatic quality. After encountering an enhanced user experience, users have a more favorable attitude about purchasing; in contrast, pleasure from using the application directly impacts buying intention. It was also shown that knowledge of AR apps impacts user experience and attitude. The novelty of this research is multifarious, for instance, the smart lab was used as a marketing technology to explore a virtual mirror of the Ray-Ban products. Secondly, the augmented reality experiential marketing activities have been developed by the developers as bearing in mind the four different aspects of the user experience—haptic, hedonic, aesthetic, and pragmatic. It should be functional, simple to learn and use, symmetrical, pleasant, and appealing, while fulfilling the unconscious emotional elements of a customer’s purchase. The research is the first known study in Pakistan to evaluate the influence of augmented reality on consumer proficiency and its consequent effects on attitude and satisfaction for fashion accessory brands. The research also advances the notion that application familiarity is the most important moderator between attitude and an augmented reality-enriched user experience, contradicting the prior studies, which focus on gender and age. This research has important theoretical implications for future researchers, who may wish to replicate the proposed final model in developed and developing countries’ fashion brands. This research also has imperative managerial implications for brand managers and marketing managers, who could include the recommendations of this study in their marketing strategies. Full article
(This article belongs to the Special Issue Marketing of Innovation, Science and Technological Change)
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<p>A Proposed Conceptual Model.</p>
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<p>Final Conceptual Proposed Framework. Source: Adapted from: [<a href="#B35-sustainability-13-14064" class="html-bibr">35</a>,<a href="#B36-sustainability-13-14064" class="html-bibr">36</a>,<a href="#B73-sustainability-13-14064" class="html-bibr">73</a>,<a href="#B84-sustainability-13-14064" class="html-bibr">84</a>,<a href="#B87-sustainability-13-14064" class="html-bibr">87</a>].</p>
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<p>The publicly accessible website (<a href="http://Rayban.com" target="_blank">Rayban.com</a> (accessed on 15 June 2020)).</p>
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<p>Virtual mirror used for the experiment.</p>
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<p>After superimposition of glasses over the face of the respondent.</p>
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18 pages, 1295 KiB  
Review
The Advancement of Virtual Reality in Automotive Market Research: Challenges and Opportunities
by Alexandre Costa Henriques and Ingrid Winkler
Appl. Sci. 2021, 11(24), 11610; https://doi.org/10.3390/app112411610 - 7 Dec 2021
Cited by 14 | Viewed by 7268
Abstract
Virtual Reality (VR) can play a key role in automotive marketing research, lowering costs and shortening the time to launch a new product. However, few VR applications support automotive customers’ experiences during the early stages of product design. This study aims to identify [...] Read more.
Virtual Reality (VR) can play a key role in automotive marketing research, lowering costs and shortening the time to launch a new product. However, few VR applications support automotive customers’ experiences during the early stages of product design. This study aims to identify and characterize into attributes the challenges and opportunities for the application of Virtual Reality in car clinics through a systematic review of the literature and patents. We searched PatentScout, ScienceDirect, Springer, and IEEEXplore for studies published between the databases’ inception and July 2020. Of the 77,383 patents and 336,785 articles identified, 72 and 13 were eligible, respectively. We discovered that patents are strongly concentrated by a few inventors, that the United States has the most records, and that the most prevalent applications relate to devices for automatically reading responders’ emotions in virtual environments. The articles revealed sixteen categories of challenges and opportunities: cost, location to customers, flexibility in interactions, model transportation, depth perception, haptic perception, motion, movement perception/physical collision, color and texture, sound feedback, product interaction/manipulation, visual–spatial, graphic quality, intuitiveness, cybersecurity, and cybersickness. Virtual Reality may be used for automotive marketing research but key factors such as hardware and software specification, stimulus quality, and survey objectives must be considered. Full article
(This article belongs to the Section Computing and Artificial Intelligence)
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<p>Systematic review flow diagram, adapted from PRISMA 2020 [<a href="#B15-applsci-11-11610" class="html-bibr">15</a>].</p>
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<p>Patent publishing trends between 1995 and 2020.</p>
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<p>Patent’s origin source in terms of the number of publications.</p>
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<p>Inventor groups that contribute the most in terms of the number of publications.</p>
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<p>Group classification over the years.</p>
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<p>Articles grouped by analysis type.</p>
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18 pages, 18800 KiB  
Article
BCI-Based Control for Ankle Exoskeleton T-FLEX: Comparison of Visual and Haptic Stimuli with Stroke Survivors
by Patricio Barria, Angie Pino, Nicolás Tovar, Daniel Gomez-Vargas, Karim Baleta, Camilo A. R. Díaz, Marcela Múnera and Carlos A. Cifuentes
Sensors 2021, 21(19), 6431; https://doi.org/10.3390/s21196431 - 26 Sep 2021
Cited by 9 | Viewed by 3701
Abstract
Brain–computer interface (BCI) remains an emerging tool that seeks to improve the patient interaction with the therapeutic mechanisms and to generate neuroplasticity progressively through neuromotor abilities. Motor imagery (MI) analysis is the most used paradigm based on the motor cortex’s electrical activity to [...] Read more.
Brain–computer interface (BCI) remains an emerging tool that seeks to improve the patient interaction with the therapeutic mechanisms and to generate neuroplasticity progressively through neuromotor abilities. Motor imagery (MI) analysis is the most used paradigm based on the motor cortex’s electrical activity to detect movement intention. It has been shown that motor imagery mental practice with movement-associated stimuli may offer an effective strategy to facilitate motor recovery in brain injury patients. In this sense, this study aims to present the BCI associated with visual and haptic stimuli to facilitate MI generation and control the T-FLEX ankle exoskeleton. To achieve this, five post-stroke patients (55–63 years) were subjected to three different strategies using T-FLEX: stationary therapy (ST) without motor imagination, motor imagination with visual stimulation (MIV), and motor imagination with visual-haptic inducement (MIVH). The quantitative characterization of both BCI stimuli strategies was made through the motor imagery accuracy rate, the electroencephalographic (EEG) analysis during the MI active periods, the statistical analysis, and a subjective patient’s perception. The preliminary results demonstrated the viability of the BCI-controlled ankle exoskeleton system with the beta rebound, in terms of patient’s performance during MI active periods and satisfaction outcomes. Accuracy differences employing haptic stimulus were detected with an average of 68% compared with the 50.7% over only visual stimulus. However, the power spectral density (PSD) did not present changes in prominent activation of the MI band but presented significant variations in terms of laterality. In this way, visual and haptic stimuli improved the subject’s MI accuracy but did not generate differential brain activity over the affected hemisphere. Hence, long-term sessions with a more extensive sample and a more robust algorithm should be carried out to evaluate the impact of the proposed system on neuronal and motor evolution after stroke. Full article
(This article belongs to the Section Biomedical Sensors)
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<p>The actuation system of the T-FLEX exoskeleton implemented on a passive orthotic device. The left and right parts show the movements assisted by the device and the involved elements and actuators.</p>
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<p>Communication protocols diagram for BCI—T-FLEX integration through a Local Server in python.</p>
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<p>Timeline strategy applied in MI experimental conditions with visual and haptic stimulus. The Idle and MI states repeated alternately until fulfilling the 5-min test.</p>
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<p>Experimental system setup for BCI-based control using T-FLEX with visual and haptic stimuli.</p>
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<p>Experimental BCI T-FLEX system procedure in post-stroke patients with lowerlimb impairment.</p>
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<p>Processing results over 10 s of an MIVH active period to detect the beta rebound signal. First, the raw signal over channel Cz appears. The second signal refers to the filtered wave in the beta frequency band (16–24 Hz). The last signal shows the beta signal squared and averaged compared with the threshold (horizontal orange line). The dotted and vertical green line refers to the moment in which the stimulus was given.</p>
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<p>Accuracy results of Motor Imagery (MI) detection for each patient in the Motor Imagery with Visual and Haptic (MIVH) stimuli test in green and the Motor Imagery with Visual (MIV) stimulus test in yellow. Each bar graph presents in its upper side the number of MI attempts achieved over the 15 opportunities presented throughout each of the two stages. The last two bars to the right side are the average of the five subjects’ accuracy.</p>
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<p>Electroencephalography (EEG) topographies of Power Spectral Density (PSD) associated with the Event-Related Potentials (ERPs) of all patients tests.</p>
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16 pages, 2899 KiB  
Article
Emotional Response to Vibrothermal Stimuli
by Yatiraj Shetty, Shubham Mehta, Diep Tran, Bhavica Soni and Troy McDaniel
Appl. Sci. 2021, 11(19), 8905; https://doi.org/10.3390/app11198905 - 24 Sep 2021
Cited by 6 | Viewed by 2087
Abstract
Emotional response to haptic stimuli is a widely researched topic, but the combination of vibrotactile and thermal stimuli requires more attention. The purpose of this study is to investigate emotional response to vibrothermal stimulation by combining spatiotemporal vibrotactile stimulus with dynamic thermal stimulus [...] Read more.
Emotional response to haptic stimuli is a widely researched topic, but the combination of vibrotactile and thermal stimuli requires more attention. The purpose of this study is to investigate emotional response to vibrothermal stimulation by combining spatiotemporal vibrotactile stimulus with dynamic thermal stimulus (hot or cold). The vibrotactile and thermal stimuli were produced using the Haptic Chair and the Embr wave thermal bracelet, respectively. The results show that spatiotemporal vibrotactile patterns and their duration, and dynamic thermal stimulation, have an independent effect on the emotional response. Increasing duration generally increases the valence and arousal of emotional response. Shifting the dynamic temperature from cold to hot generally decreases the valence of emotional response but has no significant effect on arousal. Nevertheless, certain spatiotemporal patterns do exhibit unique responses to changes in dynamic temperature, although no interaction effects were found. The results show the potential of designing affective haptic interfaces using multimodal vibrothermal feedback. Full article
(This article belongs to the Special Issue Haptics for Tele-Communication and Tele-Training)
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<p>(<b>a</b>) Frontal view of the Haptic Chair with close-up of a tactor strip. The vibration motors sit on the mesh itself for closer contact with participant’s skin and to avoid propagation of vibrations that would occur if attached to the rigid printed circuit board directly; (<b>b</b>) Embr wave bracelet.</p>
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<p>A screenshot of the GUI used by the experimenter to send vibrotactile patterns to the Haptic Chair.</p>
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<p>Sketch of the experimental set-up: The subject (<b>left</b>) is sitting on the Haptic Chair (1) and has their non-dominant hand placed on the Embr wave bracelet (2) affixed to the table. The conductor (<b>right</b>) controls the haptic feedback via the computer and thermal feedback using the Embr wave smartphone app. During each trial, white noise is played to the subject using the headphones (3). At the end of each trial, the subject documents his or her response in the form provided.</p>
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<p>Maps of two-dimensional vibrotactile patterns produced by the Haptic Chair.</p>
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<p>Flowchart explaining the experimental procedure; the flowchart shows steps in a single trial. As there were a total of 12 vibrotactile spatiotemporal patterns and 2 dynamic thermal changes (hot and cold), a total of 48 trials were conducted per participant.</p>
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<p>Mean VA scores of emotional responses averaged across each independent factor. The numbers adjoining the Pattern (purple square) datapoints refer to the spatiotemporal pattern type as depicted in <a href="#applsci-11-08905-f004" class="html-fig">Figure 4</a>.</p>
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<p>Emotional response due to change in duration at hot dynamic temperature. The apostrophe is used to describe the same pattern at the two states of duration; for example, pattern 1 at a long duration is represented by a circle enumerated as 1 and a short duration is represented by a filled circle enumerated as 1′.</p>
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<p>Emotional response due to change in duration at cold dynamic temperature. The apostrophe is used to distinguish the same pattern at different states of duration similar to <a href="#applsci-11-08905-f007" class="html-fig">Figure 7</a>.</p>
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<p>The 7-point Likert scale responses were converted to a scale of −3 to +3 for circumplex model. Plot of emotional responses [<a href="#B4-applsci-11-08905" class="html-bibr">4</a>]: hot dynamic temperature is represented by the color ‘red’ and cold dynamic temperature is represented by the color ‘blue’. ‘Unfilled circle’ depicts the long duration (1000 ms) and ‘filled circle’ depicts the short duration (100 ms). For more clarity, apostrophes were used to identify individual patterns at different states of duration. The number inside the circles denotes pattern type.</p>
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11 pages, 1189 KiB  
Article
Associative Learning of New Word Forms in a First Language (L1) and Haptic Referents in a Single-Day Experiment
by Yutao Yang, Yan Yan, Misa Ando, Xinyi Liu and Toshimune Kambara
Eur. J. Investig. Health Psychol. Educ. 2021, 11(2), 616-626; https://doi.org/10.3390/ejihpe11020044 - 21 Jun 2021
Cited by 5 | Viewed by 2996
Abstract
This study focused on the associative learning of new word forms in the first language and haptic stimuli. In this study, healthy Japanese participants performed three-step tasks. First, participants made nine subjective evaluations of haptic stimuli using five-point semantic differential scales (e.g., regarding [...] Read more.
This study focused on the associative learning of new word forms in the first language and haptic stimuli. In this study, healthy Japanese participants performed three-step tasks. First, participants made nine subjective evaluations of haptic stimuli using five-point semantic differential scales (e.g., regarding stickiness, scored from 1 (not sticky) to 5 (sticky)). Second, the participants carried out learning and recognition tasks for associative pairs of new (meaningless) word forms in their first language (Japanese) and haptic stimulus (H condition), and performed learning and recognition tasks for new (meaningless) word forms only (W condition). The order of conditions was counterbalanced among participants. Third, participants performed free recall tasks. The results of the recognition tasks showed that the proportions and response times of the W condition were better and faster, respectively, than those of the H condition. Furthermore, preference of haptic features negatively correlated with free recall scores of the H condition; however, there was no significant difference between the free recall scores of the H and W conditions. Our results suggest that new word forms were learned better than associative pairs of new word forms and haptic stimuli in a single day of learning. Furthermore, the free recall performance of word forms associated with haptic features could also be affected by their subjective evaluation (preference). Full article
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<p>Evaluation task.</p>
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<p>Learning and recognition tasks.</p>
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15 pages, 4046 KiB  
Article
Tacsac: A Wearable Haptic Device with Capacitive Touch-Sensing Capability for Tactile Display
by Oliver Ozioko, William Navaraj, Marion Hersh and Ravinder Dahiya
Sensors 2020, 20(17), 4780; https://doi.org/10.3390/s20174780 - 24 Aug 2020
Cited by 47 | Viewed by 9001
Abstract
This paper presents a dual-function wearable device (Tacsac) with capacitive tactile sensing and integrated tactile feedback capability to enable communication among deafblind people. Tacsac has a skin contactor which enhances localized vibrotactile stimulation of the skin as a means of feedback to the [...] Read more.
This paper presents a dual-function wearable device (Tacsac) with capacitive tactile sensing and integrated tactile feedback capability to enable communication among deafblind people. Tacsac has a skin contactor which enhances localized vibrotactile stimulation of the skin as a means of feedback to the user. It comprises two main modules—the touch-sensing module and the vibrotactile module; both stacked and integrated as a single device. The vibrotactile module is an electromagnetic actuator that employs a flexible coil and a permanent magnet assembled in soft poly (dimethylsiloxane) (PDMS), while the touch-sensing module is a planar capacitive metal-insulator-metal (MIM) structure. The flexible coil was fabricated on a 50 µm polyimide (PI) sheet using Lithographie Galvanoformung Abformung (LIGA) micromoulding technique. The Tacsac device has been tested for independent sensing and actuation as well as dual sensing-actuation mode. The measured vibration profiles of the actuator showed a synchronous response to external stimulus for a wide range of frequencies (10 Hz to 200 Hz) within the perceivable tactile frequency thresholds of the human hand. The resonance vibration frequency of the actuator is in the range of 60–70 Hz with an observed maximum off-plane displacement of 0.377 mm at coil current of 180 mA. The capacitive touch-sensitive layer was able to respond to touch with minimal noise both when actuator vibration is ON and OFF. A mobile application was also developed to demonstrate the application of Tacsac for communication between deafblind person wearing the device and a mobile phone user who is not deafblind. This advances existing tactile displays by providing efficient two-way communication through the use of a single device for both localized haptic feedback and touch-sensing. Full article
(This article belongs to the Special Issue Tactile Sensors for Robotic Applications)
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<p>Application of the Tacsac device.</p>
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<p>The structure and working principle of Tacsac (<b>a</b>) 2D axisymmetric structure of the spiral coil (<b>b</b>) Structure of the spiral coil (<b>c</b>) Structure of the Tacsac device. (<b>d</b>) Capacitive Sensing Layer.</p>
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<p>Fabrication steps for realization of the coil: (<b>a</b>) Initial flexible substrate; (<b>b</b>) Gold deposition; (<b>c</b>) Spin-coating of photoresist; (<b>d</b>) Exposure of photoresist; (<b>e</b>) Developing the photoresist; (<b>f</b>) Electroplating the coil; (<b>g</b>) lift-off the photoresist; (<b>h</b>) Etching of the seed layer; and (<b>i</b>) Fabricated Coil.</p>
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<p>(<b>a</b>) Fabrication steps for the sensing layer; (<b>a1</b>) Design of the pattern using CAD software; (<b>a2</b>) attachment of the FPCB on the 12 in × 12 in cutting mat; (<b>a3</b>) Cutting of two layers of the pattern using the Silhouette Cameo 3 blade cutter; (<b>a4</b>) Attachment of the PVC film on the 12 in × 12 in cutting mat (<b>a5</b>) Cutting of the PVC film using the Silhouette Cameo 3 blade cutter; (<b>a6</b>) Bonding of the FPCB and PVC layer using Loctite adhesive; (<b>a7</b>) Soldering of a fine copper wire on both layers of the FPCB to serve as electrode; and (<b>b</b>) Fabrication steps for integration of the capacitive sensing layer and vibrotactile actuator(<b>b1</b>) Attachment of the touch-sensing layer to the coil; (<b>b2</b>) Integration of the coil separator; (<b>b3</b>) Attachment of skin contactor to the permanent magnet; (<b>b4</b>) Integration of the PDMS packaging; (<b>b5</b>) Final packaging of the actuator using PDMS cover.</p>
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<p>(<b>a</b>) Setup for Characterization of the Actuation Module (<b>b</b>) Setup for the characterization of sensing module of the fabricated Tacsac with and without actuation.</p>
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<p>(<b>a</b>) Recorded amplitude of the actuator oscillation at 70Hz and 100Hz (<b>b</b>) Normalized transient displacement response of the actuator and (<b>c</b>) Peak actuator displacement as a function of applied frequency at a current of 180 mA (<b>d</b>) Transient response of the actuator at different currents and input frequency of 10 Hz.</p>
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<p>Response of the capacitive sensing layer with and without actuation; (<b>a</b>) Sensor output when touched and vibration is OFF; (<b>b</b>) Sensor’s output when touched and vibration is ON.</p>
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<p>Application of Tacsac for wireless communication of deafblind people with mobile phone users.</p>
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12 pages, 1103 KiB  
Article
Perception of a Haptic Stimulus Presented Under the Foot Under Workload
by Landry Delphin Chapwouo Tchakoute and Bob-Antoine J. Menelas
Sensors 2020, 20(8), 2421; https://doi.org/10.3390/s20082421 - 24 Apr 2020
Cited by 3 | Viewed by 2771
Abstract
It is clear that the haptic channel can be exploited as a communication medium for several tasks of everyday life. Here we investigated whether such communication can be altered in a cognitive load situation. We studied the perception of a vibrotactile stimulus presented [...] Read more.
It is clear that the haptic channel can be exploited as a communication medium for several tasks of everyday life. Here we investigated whether such communication can be altered in a cognitive load situation. We studied the perception of a vibrotactile stimulus presented under the foot when the attention is loaded by another task (cognitive load). The results demonstrated a significant influence of workload on the perception of the vibrotactile stimulus. Overall, we observed that the average score in the single-task (at rest) condition was greater than the overall mean score in the dual-task conditions (counting forwards, counting backwards, and walking). The walking task was the task that most influenced the perception of the vibrotactile stimulus presented under the foot. Full article
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<p>The wearable device worn on the left foot with a strap to hold the haptuator. (<b>I</b>) The device component used for the experiment. The haptuator is located under the arch of the second toe fixed by the black strap. (<b>II</b>) The electronic diagram of the device showing how the components are joined together in order to deliver the vibrotactile stimulus.</p>
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<p>Score mean perception of each condition (with mean value inside the bars).</p>
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<p>Overall score mean perception of single task compared to dual task (with mean value inside the bars).</p>
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<p>Box plot of score perception between conditions: at rest; counting forwards (CF); counting backwards (CB); and walking.</p>
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<p>Normality test results: residual plots of conditions at rest, counting forward (CF), counting backward (CB), and walking.</p>
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15 pages, 7387 KiB  
Article
Field-Dependent Stiffness of a Soft Structure Fabricated from Magnetic-Responsive Materials: Magnetorheological Elastomer and Fluid
by Byung-Keun Song, Ji-Young Yoon, Seong-Woo Hong and Seung-Bok Choi
Materials 2020, 13(4), 953; https://doi.org/10.3390/ma13040953 - 20 Feb 2020
Cited by 12 | Viewed by 3085
Abstract
A very flexible structure with a tunable stiffness controlled by an external magnetic stimulus is presented. The proposed structure is fabricated using two magnetic-responsive materials, namely a magnetorheological elastomer (MRE) as a skin layer and a magnetorheological fluid (MRF) as a core to [...] Read more.
A very flexible structure with a tunable stiffness controlled by an external magnetic stimulus is presented. The proposed structure is fabricated using two magnetic-responsive materials, namely a magnetorheological elastomer (MRE) as a skin layer and a magnetorheological fluid (MRF) as a core to fill the void channels of the skin layer. After briefly describing the field-dependent material characteristics of the MRE and MRF, the fabrication procedures of the structure are provided in detail. The MRE skin layer is produced using a precise mold with rectangular void channels to hold the MRF. Two samples are produced, namely with and without MRF, to evaluate the stiffness change attributed to the MRF. A magnetic field is generated using two permanent magnets attached to a specialized jig in a universal tensile machine. The force-displacement relationship of the two samples are measured as a function of magnetic flux density. Stiffness change is analyzed at two different regions, namely a small and large deformation region. The sample with MRF exhibits much higher stiffness increases in the small deformation region than the sample without MRF. Furthermore, the stiffness of the sample with MRF also increases in the large deformation region, while the stiffness of the sample without MRF remains constant. The inherent and advantageous characteristics of the proposed structure are demonstrated through two conceptual applications, namely a haptic rollable keyboard and a smart braille watch. Full article
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<p>A typical smart structure using controllable magnetorheological fluid (MRF)/ electrorheological fluids (ERF) for vibration control.</p>
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<p>Applications of the proposed soft structures produced using two different magnetic-responsive materials.</p>
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<p>Material characterization of magnetorheological elastomer (MRE) presented as a (<b>a</b>) SEM image and (<b>b</b>) shear modulus vs. magnetic flux density plot.</p>
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<p>Material characterization of the MRF presented as an (<b>a</b>) SEM image and (<b>b</b>) yield stress vs. magnetic flux density plot.</p>
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<p>The two soft structure samples, namely (<b>a</b>) filled with MRF and (<b>b</b>) without MRF, and (<b>c</b>) their identical geometric dimensions.</p>
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<p>The manufacturing process for the soft structure samples.</p>
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<p>The sample and its components during production, namely the (<b>a</b>) mold, (<b>b</b>) skin layers and (<b>c</b>) assembled structure.</p>
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<p>Experimental apparatus and set-up; (<b>a</b>) the universal tensile testing machine (KDPI-205 Series, KD PRECISION Co., capacity 1 kN), (<b>b</b>) top and front view of permanent magnet (PM) jig (<b>c</b>) the schematic diagram for the measuring distance and magnetic flux density, (<b>d</b>) the mean magnetic flux density simulation of the PMs based on FEM analysis, (<b>e</b>) the reference measurement of magnetic flux density using a gauss meter (F.W. BELL Co., 5100 series).</p>
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<p>A typical linear approximated force-displacement curve of an MRE.</p>
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<p>The tensile force-displacement curves in a range of magnetic flux density for the soft structures (<b>a</b>) without MRF and (<b>b</b>) with MRF.</p>
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<p>SEM image of the interface between the MRE skin layer and MRF core in the soft structure.</p>
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<p>The stiffness was dependent on mean magnetic flux density for small displacement in the soft structures without MRF (blue) and with MRF (red).</p>
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<p>Schematic diagrams of a haptic rollable keyboard and its operating principles.</p>
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<p>Schematic diagrams of a smart braille watch, specifically its (<b>a</b>) braille display actuator components and (<b>b</b>) operating principle.</p>
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<p>Force-displacement relationships approximated by polynomial expression in the large deformation region of the soft structure.</p>
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<p>Stiffness approximated by polynomial expression in the large deformation region of the soft structure.</p>
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14 pages, 1136 KiB  
Article
Audiohaptic Feedback Enhances Motor Performance in a Low-Fidelity Simulated Drilling Task
by Brianna L. Grant, Paul C. Yielder, Tracey A. Patrick, Bill Kapralos, Michael Williams-Bell and Bernadette A. Murphy
Brain Sci. 2020, 10(1), 21; https://doi.org/10.3390/brainsci10010021 - 31 Dec 2019
Cited by 10 | Viewed by 3341
Abstract
When used in educational settings, simulations utilizing virtual reality (VR) technologies can reduce training costs while providing a safe and effective learning environment. Tasks can be easily modified to maximize learning objectives of different levels of trainees (e.g., novice, intermediate, expert), and can [...] Read more.
When used in educational settings, simulations utilizing virtual reality (VR) technologies can reduce training costs while providing a safe and effective learning environment. Tasks can be easily modified to maximize learning objectives of different levels of trainees (e.g., novice, intermediate, expert), and can be repeated for the development of psychomotor skills. VR offers a multisensory experience, providing visual, auditory, and haptic sensations with varying levels of fidelity. While simulating visual and auditory stimuli is relatively easy and cost-effective, similar representations of haptic sensation still require further development. Evidence suggests that mixing high- and low-fidelity realistic sensations (e.g., audition and haptic) can improve the overall perception of realism, however, whether this also leads to improved performance has not been examined. The current study examined whether audiohaptic stimuli presented in a virtual drilling task can lead to improved motor performance and subjective realism, compared to auditory stimuli alone. Right-handed participants (n = 16) completed 100 drilling trials of each stimulus type. Performance measures indicated that participants overshot the target during auditory trials, and undershot the target during audiohaptic trials. Undershooting is thought to be indicative of improved performance, optimizing both time and energy requirements. Full article
(This article belongs to the Special Issue The Role of Body in Brain Plasticity)
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<p>Stimulus conditions presented in each trial type (audiohaptic or auditory alone).</p>
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<p>Scenes in the drilling simulation. (<b>a</b>) Side view visible only during familiarization trials. (<b>b</b>) Front view shown throughout experimental trials. (<b>c</b>) Subjective rating scale presented after each trial.</p>
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<p>Mean and standard deviation (error bars) of participants’ drilling behavior for each trial type.</p>
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<p>Mean and standard deviation (error bars) of performance errors in both trial types. Statistical results are noted as *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Mean and standard deviations (error bars) of perceived realness ratings in both trial types. Statistical results are noted as *** <span class="html-italic">p</span> &lt; 0.001.</p>
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30 pages, 6560 KiB  
Article
Ambient Intelligence Environment for Home Cognitive Telerehabilitation
by Miguel Oliver, Miguel A. Teruel, José Pascual Molina, Dulce Romero-Ayuso and Pascual González
Sensors 2018, 18(11), 3671; https://doi.org/10.3390/s18113671 - 29 Oct 2018
Cited by 24 | Viewed by 6274
Abstract
Higher life expectancy is increasing the number of age-related cognitive impairment cases. It is also relevant, as some authors claim, that physical exercise may be considered as an adjunctive therapy to improve cognition and memory after strokes. Thus, the integration of physical and [...] Read more.
Higher life expectancy is increasing the number of age-related cognitive impairment cases. It is also relevant, as some authors claim, that physical exercise may be considered as an adjunctive therapy to improve cognition and memory after strokes. Thus, the integration of physical and cognitive therapies could offer potential benefits. In addition, in general these therapies are usually considered boring, so it is important to include some features that improve the motivation of patients. As a result, computer-assisted cognitive rehabilitation systems and serious games for health are more and more present. In order to achieve a continuous, efficient and sustainable rehabilitation of patients, they will have to be carried out as part of the rehabilitation in their own home. However, current home systems lack the therapist’s presence, and this leads to two major challenges for such systems. First, they need sensors and actuators that compensate for the absence of the therapist’s eyes and hands. Second, the system needs to capture and apply the therapist’s expertise. With this aim, and based on our previous proposals, we propose an ambient intelligence environment for cognitive rehabilitation at home, combining physical and cognitive activities, by implementing a Fuzzy Inference System (FIS) that gathers, as far as possible, the knowledge of a rehabilitation expert. Moreover, smart sensors and actuators will attempt to make up for the absence of the therapist. Furthermore, the proposed system will feature a remote monitoring tool, so that the therapist can supervise the patients’ exercises. Finally, an evaluation will be presented where experts in the rehabilitation field showed their satisfaction with the proposed system. Full article
(This article belongs to the Special Issue New Trends in Ambient Intelligence Applications)
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<p>Architecture of the ambient intelligence environment for cognitive telerehabilitation.</p>
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<p>Exercise creation interface.</p>
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<p>An exercise consists of several steps, and each step, in turn, consist of difficulty levels.</p>
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<p>Levels of difficulty in step 2 of the example exercise.</p>
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<p>(<b>a</b>) Explanation of the exercise shown to the user at the beginning; (<b>b</b>) Patient performing a rehabilitation exercise.</p>
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<p>Microsoft Kinect v2 sensor (Microsoft Corp., Redmond, WA, USA).</p>
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<p>Emotiv Epoc+ headset and electrodes location (Emotiv, San Francisco, CA, USA).</p>
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<p>(<b>a</b>) Vibrotactile device VITAKI; (<b>b</b>) Vibrotactile actuator used by VITAKI; (<b>c</b>) Coordinate axis in the user’s palm formed by four vibrotactile actuators.</p>
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<p>Remote exercise viewer.</p>
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<p>Example of stress processing from the signal obtained from the headset.</p>
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<p>Input values of the FIS4H.</p>
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<p>Input values of the FIS4D.</p>
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<p>Example of the first execution of an exercise and modification of the difficulty performed by the FIS.</p>
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<p>Example of the second execution of a program and modification of the difficulty performed by the FIS.</p>
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<p>Rules editor interface of the FIS4H.</p>
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<p>Distribution of data for the four dependent variables.</p>
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4587 KiB  
Article
Encapsulation of Piezoelectric Transducers for Sensory Augmentation and Substitution with Wearable Haptic Devices
by Francesca Sorgini, Alberto Mazzoni, Luca Massari, Renato Caliò, Carmen Galassi, Sunil L. Kukreja, Edoardo Sinibaldi, Maria Chiara Carrozza and Calogero M. Oddo
Micromachines 2017, 8(9), 270; https://doi.org/10.3390/mi8090270 - 2 Sep 2017
Cited by 21 | Viewed by 7148
Abstract
The integration of polymeric actuators in haptic displays is widespread nowadays, especially in virtual reality and rehabilitation applications. However, we are still far from optimizing the transducer ability in conveying sensory information. Here, we present a vibrotactile actuator characterized by a piezoelectric disk [...] Read more.
The integration of polymeric actuators in haptic displays is widespread nowadays, especially in virtual reality and rehabilitation applications. However, we are still far from optimizing the transducer ability in conveying sensory information. Here, we present a vibrotactile actuator characterized by a piezoelectric disk embedded in a polydimethylsiloxane (PDMS) shell. An original encapsulation technique was performed to provide the stiff active element with a compliant cover as an interface towards the soft human skin. The interface stiffness, together with the new geometry, generated an effective transmission of vibrotactile stimulation and made the encapsulated transducer a performant component for the development of wearable tactile displays. The mechanical behavior of the developed transducer was numerically modeled as a function of the driving voltage and frequency, and the exerted normal forces were experimentally measured with a load cell. The actuator was then tested for the integration in a haptic glove in single-finger and bi-finger condition, in a 2-AFC tactile stimulus recognition test. Psychophysical results across all the tested sensory conditions confirmed that the developed integrated haptic system was effective in delivering vibrotactile information when the frequency applied to the skin is within the 200–700 Hz range and the stimulus variation is larger than 100 Hz. Full article
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<p>Encapsulated transducer for haptic applications. (<b>a</b>) Upper view of one of the spherical cups; (<b>b</b>) Encapsulated transducer with the two spherical cups on the opposite sides and the embedded electrical contacts; (<b>c</b>) 3D-printed customized mold for the development of the geometry of the transducer with PDMS polymer. The piezoelectric element with the spherical cups and the electrical connections are located at the center of the molding stucture; and (<b>d</b>) an upper view of the transducer, with evidence of the internal structure where two spherical cups enclose the piezoelectric disk and the electrical wires.</p>
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<p>Finite element method (FEM) model of the encapsulated transducer. (<b>a</b>) Schematic of the actuator showing the boundary conditions on the PDMS structure; (<b>b</b>) detail of the piezoelectric disk showing the driving voltage imposed on the element; and (<b>c</b>) a view of the meshed geometry of the whole encapsulated transducer.</p>
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<p>Experimental setup for the evaluation of the normal force exerted by the encapsulated transducer. (<b>a</b>) Schematic drawing of the experimental setup: 1.) PC running a GUI to send selected waveforms to the piezoelectric transducer via a driving electronics; 2.) electronic board for the communication between the GUI and the piezo haptic driver; 3.) piezo haptic driver for the activation of the piezoelectric transducer; and 4.) load cell for force measurement: the measured forces are saved for post-processing. (<b>b</b>) Detail of the mounting for the electromechanical characterization of the transducer, where the encapsulated transducer is fixed on the load cell: 1.) Section of the measurement system, in which the encapsulated transducer in fixed in a 3D printed housing linked to the load cell, with detail of the experimental boundary conditions; 2.) 3D view of the experimental setup for the electromechanical characterization of the transducer, with a 3D printed housing linked to the upper part of the load cell; and 3.) 3D view of the whole measurement system, in which the encapsulated transducer is inserted.</p>
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<p>Experimental setup with the three experimental configurations. (<b>a</b>) Bi-finger synchronous (BF-S) configuration: two piezoelectric transducers, embedded in a spandex glove, synchronously stimulate the tips of the index and thumb finger; (<b>b</b>) single-finger index (SF-I) configuration: single-finger stimulation on the index fingertip with one piezoelectric transducer embedded in a spandex glove; and (<b>c</b>) the single-finger thumb (SF-T) configuration: stimulation on the thumb fingertip with one piezoelectric transducer embedded in a spandex glove.</p>
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<p>Stimulation and task. (<b>a</b>) An example of a pair of stimuli: 250 ms of sinusoidal oscillations with a frequency of 200 Hz followed by 250 ms sinusoidal oscillation with a frequency of 700 Hz. The peak-to-peak amplitude activating the transducer was fixed at 150 V; (<b>b</b>) a 0.04 s slice of the vibrotactile stimulation shown in panel (<b>a</b>), depicting the frequency transition at 0.25 s; and (<b>c</b>) the participant decision phase: after perceiving the vibrotactile stimuli pair, the participant was asked to determine whether the first or the second had the higher frequency content.</p>
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<p>Embedded piezoelectric transducer. (<b>a</b>, <b>upper part</b>) Drawing of the lateral view of the piezoelectric transducer embedded in the polymeric matrix, with evidence of the two protrusions on the external opposite faces of the geometry; (<b>a</b>, <b>lower part</b>) drawing of the upper view of the piezoelectric transducer embedded in the polymeric matrix; (<b>b</b>, <b>upper part</b>) lateral picture of the developed prototype showing the side of the actuator; (<b>b</b>, <b>lower part</b>) upper picture of the developed prototype showing the whole surface of the actuator; and (<b>c</b>) a picture of the integrated system used for the psychophysical evaluation: a textile glove equipped with two encapsulated transducers on the thumb and index fingertips.</p>
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<p>Characterization of the stiffness of the fabricated PDMS test samples and corresponding model calibration. The agreement between experimental (blue dots) and simulated data (red line) confirmed the suitability of the chosen model parameters.</p>
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<p>Vibrational component of the normal force exerted during transducers actuation. Predicted trend (solid lines with circles) and experimental measures (dots) of the normal force for the considered driving voltages. For each experimental point, the standard deviation is represented by vertical bars.</p>
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<p>Frequency power spectrum of the normal force. Spectral analysis of the normal force recorded by the load cell while activating the piezoelectric actuator/polymer system. (<b>a</b>) Results for 50 Vpp and 200–700 Hz, with 25 Hz steps (electromechanical characterization); (<b>b</b>) results for 100 Vpp and 200–700 Hz, with 25 Hz steps (electromechanical characterization); (<b>c</b>) results for 150 Vpp and 200–700 Hz, with 25 Hz steps (electromechanical characterization); (<b>d</b>) results for 50 Vpp and 200–700 Hz, with 50 Hz steps (pilot psychophysical experiments); (<b>e</b>) results for 100 Vpp and 200–700 Hz, with 50 Hz steps (pilot psychophysical experiments); and (<b>f</b>) results for 150 Vpp and 200–700 Hz, with 50 Hz steps (psychophysical experiments presented in <a href="#sec3dot4-micromachines-08-00270" class="html-sec">Section 3.4</a>).</p>
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<p>Stimuli perception with single-finger configuration. (<b>a</b>) Comparison between the fraction of correct responses (i.e., increasing frequency variations identified as increasing or decreasing frequency variations identified as decreasing) in all three configurations. Boxes represent the interquartile range and black dashed lines show the complete range across participants; (<b>b</b>) psychometric curve for the BF-S stimulation configuration. Each dot represents the fraction of times each stimulus was classified as having an increasing frequency (median across participants). If the identification rate is significantly different (average &gt; 50%, binofit test) from chance the dot is red, otherwise, it is black. The filled area indicates the 95% confidence interval (binofit test) across participants and the black horizontal dashed line represents chance; (<b>c</b>) the same as (b) for the SF-T stimulation configuration; and (<b>d</b>) the same as (b) for the SF-I stimulation configuration.</p>
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<p>Comparison of the logistic fit of psychometric curves for all configurations. Comparison of logistic fit curves over the whole range of frequency variation. The curves are similar for all three experimented configurations.</p>
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1893 KiB  
Review
A Fabric-Based Approach for Wearable Haptics
by Matteo Bianchi
Electronics 2016, 5(3), 44; https://doi.org/10.3390/electronics5030044 - 26 Jul 2016
Cited by 29 | Viewed by 9136
Abstract
In recent years, wearable haptic systems (WHS) have gained increasing attention as a novel and exciting paradigm for human–robot interaction (HRI). These systems can be worn by users, carried around, and integrated in their everyday lives, thus enabling a more natural manner to [...] Read more.
In recent years, wearable haptic systems (WHS) have gained increasing attention as a novel and exciting paradigm for human–robot interaction (HRI). These systems can be worn by users, carried around, and integrated in their everyday lives, thus enabling a more natural manner to deliver tactile cues. At the same time, the design of these types of devices presents new issues: the challenge is the correct identification of design guidelines, with the two-fold goal of minimizing system encumbrance and increasing the effectiveness and naturalness of stimulus delivery. Fabrics can represent a viable solution to tackle these issues. They are specifically thought “to be worn”, and could be the key ingredient to develop wearable haptic interfaces conceived for a more natural HRI. In this paper, the author will review some examples of fabric-based WHS that can be applied to different body locations, and elicit different haptic perceptions for different application fields. Perspective and future developments of this approach will be discussed. Full article
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<p>Wearable haptic systems and body locations. Finger [<a href="#B5-electronics-05-00044" class="html-bibr">5</a>,<a href="#B16-electronics-05-00044" class="html-bibr">16</a>,<a href="#B18-electronics-05-00044" class="html-bibr">18</a>]; wrist [<a href="#B19-electronics-05-00044" class="html-bibr">19</a>,<a href="#B21-electronics-05-00044" class="html-bibr">21</a>]; arm and forearm [<a href="#B14-electronics-05-00044" class="html-bibr">14</a>,<a href="#B20-electronics-05-00044" class="html-bibr">20</a>,<a href="#B22-electronics-05-00044" class="html-bibr">22</a>,<a href="#B23-electronics-05-00044" class="html-bibr">23</a>]; tongue and mouth [<a href="#B24-electronics-05-00044" class="html-bibr">24</a>,<a href="#B25-electronics-05-00044" class="html-bibr">25</a>,<a href="#B26-electronics-05-00044" class="html-bibr">26</a>]; head [<a href="#B27-electronics-05-00044" class="html-bibr">27</a>]; torso, trunk and shoulders [<a href="#B28-electronics-05-00044" class="html-bibr">28</a>,<a href="#B29-electronics-05-00044" class="html-bibr">29</a>,<a href="#B30-electronics-05-00044" class="html-bibr">30</a>]; leg [<a href="#B31-electronics-05-00044" class="html-bibr">31</a>,<a href="#B32-electronics-05-00044" class="html-bibr">32</a>]; foot [<a href="#B15-electronics-05-00044" class="html-bibr">15</a>,<a href="#B33-electronics-05-00044" class="html-bibr">33</a>].</p>
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<p>Wearable Fabric Yielding Device (W-FYD) on a user’s finger (<b>a</b>); W-FYD CAD design and dimensions (in mm) (<b>b</b>). Reproduced from [<a href="#B18-electronics-05-00044" class="html-bibr">18</a>], Copyright 2016, IEEE.</p>
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<p>Representation of a finger interacting with the W-FYD (<b>a</b>); characterization curves for different motor positions (<span class="html-italic">θ<sub>1</sub></span> and <span class="html-italic">θ<sub>2</sub></span>) (<b>b</b>). Reproduced from [<a href="#B18-electronics-05-00044" class="html-bibr">18</a>], Copyright 2016, IEEE.</p>
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<p>Passive mode: The fabric frame is put in contact with the user’s finger by the camshaft lifting mechanism and servo-motor, inducing a variation of hp (commanded servo motor position) of the frame (<b>a</b>); active mode: The user can indent the fabric by flexing the interphalangeal proximal joint of the index finger (IP), while fabric indentation ha can be measured through a contactless infrared sensor (<b>b</b>). Reproduced from [<a href="#B18-electronics-05-00044" class="html-bibr">18</a>], Copyright 2016, IEEE.</p>
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<p>Clenching Upper-limb Force Feedback (CUFF) (<b>a</b>) and working modes (<b>b</b>). The total weight is 494 g and its overall dimensions are 14.5 × 9.7 × 11.6 cm. Reproduced from [<a href="#B14-electronics-05-00044" class="html-bibr">14</a>], Copyright 2013, IEEE.</p>
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<p>CUFF reproduces the estimated resultant force applied by SoftHand through belt stretching over a user’s arm. The suffix filt on signals indicates the measured current, velocity, and acceleration of SH after low pass filtering. Reproduced from [<a href="#B14-electronics-05-00044" class="html-bibr">14</a>], Copyright 2013, IEEE.</p>
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<p>An overview of the haptic system worn by a subject. Reproduced from [<a href="#B57-electronics-05-00044" class="html-bibr">57</a>], Copyright 2014, IEEE.</p>
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