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Increasing Electrical Muscle Stimulation's Dexterity by means of Back of the Hand Actuation

Published: 07 May 2021 Publication History

Abstract

We propose a technique that allows an unprecedented level of dexterity in electrical muscle stimulation (EMS), i.e., it allows interactive EMS-based devices to flex the user's fingers independently of each other. EMS is a promising technique for force feedback because of its small form factor when compared to mechanical actuators. However, the current EMS approach to flexing the user's fingers (i.e., attaching electrodes to the base of the forearm, where finger muscles anchor) is limited by its inability to flex a target finger's metacarpophalangeal (MCP) joint independently of the other fingers. In other words, current EMS devices cannot flex one finger alone, they always induce unwanted actuation to adjacent fingers. To tackle the lack of dexterity, we propose and validate a new electrode layout that places the electrodes on the back of the hand, where they stimulate the interossei/lumbricals muscles in the palm, which have never received attention with regards to EMS. In our user study, we found that our technique offers four key benefits when compared to existing EMS electrode layouts: our technique (1) flexes all four fingers around the MCP joint more independently; (2) has less unwanted flexion of other joints (such as the proximal interphalangeal joint); (3) is more robust to wrist rotations; and (4) reduces calibration time. Therefore, our EMS technique enables applications for interactive EMS systems that require a level of flexion dexterity not available until now. We demonstrate the improved dexterity with four example applications: three musical instrumental tutorials (piano, drum, and guitar) and a VR application that renders force feedback in individual fingers while manipulating a yo-yo.

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References

[1]
O. Sandoval-Gonzalez, “Design and Development of a Hand Exoskeleton Robot for Active and Passive Rehabilitation,” Int. J. Adv. Robot. Syst., vol. 13, no. 2, p. 66, Mar. 2016.
[2]
A. Ebisu, S. Hashizume, and Y. Ochiai, “Building a feedback loop between electrical stimulation and percussion learning,” in ACM SIGGRAPH 2018 Studio, Vancouver, British Columbia, Canada, Aug. 2018, pp. 1–2.
[3]
A. Ebisu, S. Hashizume, K. Suzuki, A. Ishii, M. Sakashita, and Y. Ochiai, “Stimulated percussions: method to control human for learning music by using electrical muscle stimulation,” in Proceedings of the 8th Augmented Human International Conference on - AH ’17, Silicon Valley, California, 2017, pp. 1–5.
[4]
P. Lopes, P. Jonell, and P. Baudisch, “Affordance++: Allowing Objects to Communicate Dynamic Use,” in Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, New York, NY, USA, Apr. 2015, pp. 2515–2524.
[5]
P. Lopes, A. Ion, W. Mueller, D. Hoffmann, P. Jonell, and P. Baudisch, “Proprioceptive Interaction,” in Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, New York, NY, USA, Apr. 2015, pp. 939–948.
[6]
P. Lopes, D. Yüksel, F. Guimbretière, and P. Baudisch, “Muscle-plotter: An Interactive System based on Electrical Muscle Stimulation that Produces Spatial Output,” in Proceedings of the 29th Annual Symposium on User Interface Software and Technology, Tokyo, Japan, Oct. 2016, pp. 207–217.
[7]
E. Tamaki, T. Miyaki, and J. Rekimoto, “PossessedHand: techniques for controlling human hands using electrical muscles stimuli,” in Proceedings of the 2011 annual conference on Human factors in computing systems - CHI ’11, Vancouver, BC, Canada, 2011, p. 543.
[8]
X. Bao, Y. Zhou, Y. Wang, J. Zhang, X. Lü, and Z. Wang, “Electrode placement on the forearm for selective stimulation of finger extension/flexion,” PLOS ONE, vol. 13, no. 1, p. e0190936, Jan. 2018.
[9]
K. Chen, B. Zhang, and D. Zhang, “Master-Slave Gesture Learning System Based on Functional Electrical Stimulation,” in Intelligent Robotics and Applications, vol. 8917, X. Zhang, H. Liu, Z. Chen, and N. Wang, Eds. Cham: Springer International Publishing, 2014, pp. 214–223.
[10]
A. Colley, A. Leinonen, M.-T. Forsman, and J. Häkkilä, “EMS Painter: Co-creating Visual Art using Electrical Muscle Stimulation,” in Proceedings of the Twelfth International Conference on Tangible, Embedded, and Embodied Interaction, New York, NY, USA, Mar. 2018, pp. 266–270.
[11]
T. Dingler, T. Goto, B. Tag, and K. Kunze, “EMS icons: conveying information by analogy to enhance communication through electrical muscle stimulation,” in Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, New York, NY, USA, Sep. 2017, pp. 732–739.
[12]
T. Duente, S. Schneegass, and M. Pfeiffer, “EMS in HCI: challenges and opportunities in actuating human bodies,” in Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, New York, NY, USA, Sep. 2017, pp. 1–4.
[13]
T. Duente, J. Schulte, M. Pfeiffer, and M. Rohs, “MuscleIO: Muscle-Based Input and Output for Casual Notifications,” Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., vol. 2, no. 2, p. 64:1-64:21, Jul. 2018.
[14]
T. Duente, M. Pfeiffer, and M. Rohs, “On-skin technologies for muscle sensing and actuation,” in Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct, New York, NY, USA, Sep. 2016, pp. 933–936.
[15]
T. Duente, M. Pfeiffer, and M. Rohs, “Zap++: a 20-channel electrical muscle stimulation system for fine-grained wearable force feedback,” in Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, New York, NY, USA, Sep. 2017, pp. 1–13.
[16]
F. Farbiz, Z. H. Yu, C. Manders, and W. Ahmad, “An electrical muscle stimulation haptic feedback for mixed reality tennis game,” in ACM SIGGRAPH 2007 posters, New York, NY, USA, Aug. 2007, pp. 140-es.
[17]
P. E. Fortin, J. R. Blum, and J. R. Cooperstock, “Raising the Heat: Electrical Muscle Stimulation for Simulated Heat Withdrawal Response,” in Adjunct Publication of the 30th Annual ACM Symposium on User Interface Software and Technology, New York, NY, USA, Oct. 2017, pp. 137–139.
[18]
E. Grönvall, J. Fritsch, and A. Vallgårda, “FeltRadio: Sensing and Making Sense of Wireless Traffic,” in Proceedings of the 2016 ACM Conference on Designing Interactive Systems - DIS ’16, Brisbane, QLD, Australia, 2016, pp. 829–840.
[19]
K. Gui and D. Zhang, “Influence of volitional contraction on muscle response to functional electrical stimulation,” in 2014 IEEE 19th International Functional Electrical Stimulation Society Annual Conference (IFESS), Sep. 2014, pp. 1–4.
[20]
S. Hanagata and Y. Kakehi, “Paralogue: A Remote Conversation System Using a Hand Avatar which Postures are Controlled with Electrical Muscle Stimulation,” in Proceedings of the 9th Augmented Human International Conference, New York, NY, USA, Feb. 2018, pp. 1–3.
[21]
M. Hassib, M. Pfeiffer, S. Schneegass, M. Rohs, and F. Alt, “Emotion Actuator: Embodied Emotional Feedback through Electroencephalography and Electrical Muscle Stimulation,” in Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, New York, NY, USA, May 2017, pp. 6133–6146.
[22]
T. Ishimaru and S. Saga, “Virtual bumps display based on electrical muscle stimulation,” in 2020 IEEE Haptics Symposium (HAPTICS), Mar. 2020, pp. 96–101.
[23]
S. Jain, S. Sharma, and D. Babbar, “Star-Force: A Playful Implementation of the Jedi-force,” in Proceedings of the Tenth International Conference on Tangible, Embedded, and Embodied Interaction - TEI ’17, Yokohama, Japan, 2017, pp. 761–766.
[24]
S. Kasahara, J. Nishida, and P. Lopes, “Preemptive Action: Accelerating Human Reaction using Electrical Muscle Stimulation Without Compromising Agency,” in Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, New York, NY, USA, May 2019, pp. 1–15.
[25]
M. Katoh, “Optimal selection of electrodes for muscle electrical stimulation using twitching motion measurement,” in Proceedings of the 4th Augmented Human International Conference on - AH ’13, Stuttgart, Germany, 2013, pp. 237–238.
[26]
O. B. Kaul, M. Pfeiffer, and M. Rohs, “Follow the Force: Steering the Index Finger towards Targets using EMS,” in Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, New York, NY, USA, May 2016, pp. 2526–2532.
[27]
T. Kitamura, H. Mizoguchi, N. Mizukami, S. Sakaino, and T. Tsuji, “Chattering reduction of functional electrical stimulation with the smith compensator,” in IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Oct. 2017, pp. 7577–7582.
[28]
J. Knibbe, P. Strohmeier, S. Boring, and K. Hornbæk, “Automatic Calibration of High Density Electric Muscle Stimulation,” Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., vol. 1, no. 3, pp. 1–17, Sep. 2017.
[29]
M. Kono, Y. Ishiguro, T. Miyaki, and J. Rekimoto, “Design and Study of a Multi-Channel Electrical Muscle Stimulation Toolkit for Human Augmentation,” in Proceedings of the 9th Augmented Human International Conference, New York, NY, USA, Feb. 2018, pp. 1–8.
[30]
M. Kono, T. Takahashi, H. Nakamura, T. Miyaki, and J. Rekimoto, “Design Guideline for Developing Safe Systems that Apply Electricity to the Human Body,” ACM Trans. Comput.-Hum. Interact., vol. 25, no. 3, p. 19:1-19:36, Jun. 2018.
[31]
Y. Kurita, T. Ishikawa, and T. Tsuji, “Stiffness Display by Muscle Contraction Via Electric Muscle Stimulation,” IEEE Robot. Autom. Lett., vol. 1, no. 2, pp. 1014–1019, Jul. 2016.
[32]
P. Lopes, S. You, A. Ion, and P. Baudisch, “Adding Force Feedback to Mixed Reality Experiences and Games using Electrical Muscle Stimulation,” in Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI ’18, Montreal QC, Canada, 2018, pp. 1–13.
[33]
P. Lopes, S. You, L.-P. Cheng, S. Marwecki, and P. Baudisch, “Providing Haptics to Walls & Heavy Objects in Virtual Reality by Means of Electrical Muscle Stimulation,” in Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, Denver, Colorado, USA, May 2017, pp. 1471–1482.
[34]
P. Lopes and P. Baudisch, “Muscle-propelled force feedback: bringing force feedback to mobile devices,” in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, New York, NY, USA, Apr. 2013, pp. 2577–2580.
[35]
Z. Lou, P. Yao, and D. Zhang, “Wireless Master-Slave FES Rehabilitation System Using sEMG Control,” in Intelligent Robotics and Applications, Berlin, Heidelberg, 2012, pp. 1–10.
[36]
Y. Nagashima, “Bio-sensing systems and bio-feedback systems for interactive media arts,” in Proceedings of the 2003 conference on New interfaces for musical expression, SGP, May 2003, pp. 48–53, Accessed: Sep. 16, 2020. [Online].
[37]
J. Nishida, K. Takahashi, and K. Suzuki, “A wearable stimulation device for sharing and augmenting kinesthetic feedback,” in Proceedings of the 6th Augmented Human International Conference, New York, NY, USA, Mar. 2015, pp. 211–212.
[38]
J. Nishida, S. Kasahara, and K. Suzuki, “Wired muscle: generating faster kinesthetic reaction by inter-personally connecting muscles,” in ACM SIGGRAPH 2017 Emerging Technologies, New York, NY, USA, Jul. 2017, pp. 1–2.
[39]
J. Nishida and K. Suzuki, “bioSync: A Paired Wearable Device for Blending Kinesthetic Experience,” in Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, New York, NY, USA, May 2017, pp. 3316–3327.
[40]
M. Pfeiffer, T. Duente, and M. Rohs, “A Wearable Force Feedback Toolkit with Electrical Muscle Stimulation,” in Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems - CHI EA ’16, San Jose, California, USA, 2016, pp. 3758–3761.
[41]
M. Pfeiffer, S. Schneegass, F. Alt, and M. Rohs, “Let me grab this: a comparison of EMS and vibration for haptic feedback in free-hand interaction,” in Proceedings of the 5th Augmented Human International Conference, New York, NY, USA, Mar. 2014, pp. 1–8.
[42]
M. Pfeiffer, S. Schneegaß, and F. Alt, “Supporting interaction in public space with electrical muscle stimulation,” in Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication, New York, NY, USA, Sep. 2013, pp. 5–8.
[43]
M. Pfeiffer and W. Stuerzlinger, “3D Virtual Hand Selection with EMS and Vibration Feedback,” in Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, New York, NY, USA, Apr. 2015, pp. 1361–1366.
[44]
H. Pohl, K. Hornbæk, and J. Knibbe, “Wanding Through Space: Interactive Calibration for Electric Muscle Stimulation,” in Proceedings of the 9th Augmented Human International Conference on - AH ’18, Seoul, Republic of Korea, 2018, pp. 1–5.
[45]
S. Schneegass, A. Schmidt, and M. Pfeiffer, “Creating user interfaces with electrical muscle stimulation,” Interactions, vol. 24, no. 1, pp. 74–77, Dec. 2016.
[46]
S. Schneegass and R. Rzayev, “Embodied notifications: implicit notifications through electrical muscle stimulation,” in Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, New York, NY, USA, Sep. 2016, pp. 954–959.
[47]
T. Shao, X. Li, H. Yokoi, and D. Zhang, “FESleeve: A Functional Electrical Stimulation System with Multi-electrode Array for Finger Motion Control,” in Intelligent Robotics and Applications, Cham, 2016, pp. 191–199.
[48]
E. Tamaki, T. Chan, and K. Iwasaki, “UnlimitedHand: Input and Output Hand Gestures with Less Calibration Time,” in Proceedings of the 29th Annual Symposium on User Interface Software and Technology, New York, NY, USA, Oct. 2016, pp. 163–165.
[49]
S. Tatsuno, T. Hayakawa, and M. Ishikawa, “Comparison of reaction times in response to electrical and Visual Stimulation using a high-speed camera,” in 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Oct. 2016, pp. 001251–001256.
[50]
S. Tatsuno, T. Hayakawa, and M. Ishikawa, “Supportive training system for sports skill acquisition based on electrical stimulation,” in 2017 IEEE World Haptics Conference (WHC), Jun. 2017, pp. 466–471.
[51]
S. Tatsuno, T. Hayakawa, and M. Ishikawa, “Trajectory adjustment system for learning based on electrical stimulation,” in Proceedings of the 8th Augmented Human International Conference, New York, NY, USA, Mar. 2017, pp. 1–4.
[52]
K. Watanabe, M. Oka, and H. Mori, “Feedback Control to Target Joints Angle in Middle Finger PIP and MP Joint Using Functional Electrical Stimulation,” Lect. Notes Comput. Sci. Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinforma., vol. 11570 LNCS, pp. 440–454, 2019.
[53]
T. Watanabe, K. Iibuchi, K. Kurosawa, and N. Hoshimiya, “A method of multichannel PID control of two-degree-of-freedom wrist joint movements by functional electrical stimulation,” Syst. Comput. Jpn., vol. 34, no. 5, pp. 25–36, 2003.
[54]
A. Popović-Bijelić, G. Bijelić, N. Jorgovanović, D. Bojanić, M. B. Popović, and D. B. Popović, “Multi-field surface electrode for selective electrical stimulation,” Artif. Organs, vol. 29, no. 6, pp. 448–452, Jun. 2005.
[55]
J. Limanowski, P. Lopes, J. Keck, P. Baudisch, K. Friston, and F. Blankenburg, “Action-Dependent Processing of Touch in the Human Parietal Operculum and Posterior Insula,” Cereb. Cortex, vol. 30, no. 2, pp. 607–617, Mar. 2020.
[56]
“Haptic Workstation,” CyberGlove Systems LLC. http://www.cyberglovesystems.com/haptic-workstation (accessed Sep. 16, 2020).
[57]
“CyberGrasp,” CyberGlove Systems LLC. http://www.cyberglovesystems.com/cybergrasp (accessed Sep. 16, 2020).
[58]
“Dexta Robotics - Touch the Untouchable.” https://origin.dextarobotics.com/en-us/ (accessed Sep. 16, 2020).
[59]
P. Strojnik, A. Kralj, and I. Ursic, “Programmed Six-Channel Electrical Stimulator for Complex Stimulation of Leg Muscles During Walking,” IEEE Trans. Biomed. Eng., 1979.
[60]
E. Kruijff, D. Schmalstieg, and S. Beckhaus, “Using neuromuscular electrical stimulation for pseudo-haptic feedback,” in Proceedings of the ACM symposium on Virtual reality software and technology, New York, NY, USA, Nov. 2006, pp. 316–319.
[61]
P. Lopes and P. Baudisch, “Immense Power in a Tiny Package: Wearables Based on Electrical Muscle Stimulation,” IEEE Pervasive Comput., vol. 16, no. 3, pp. 12–16, 2017.
[62]
J. de Kroon, M. J. Ijzerman, J. Chae, G. J. Lankhorst, and G. Zilvold, Relation between stimulation characteristics and clinical outcome in studies using electrical stimulation to improve motor control of the upper extremity in stroke. Centre for Reviews and Dissemination (UK), 2005.
[63]
M. Schünke, E. Schulte, U. Schumacher, and E. D. Lamperti, Thieme Atlas of Anatomy: Latin Nomenclature: General Anatomy and Musculoskeletal System. Thieme, 2006.
[64]
C. E. Lang and M. H. Schieber, “Human Finger Independence: Limitations due to Passive Mechanical Coupling Versus Active Neuromuscular Control,” J. Neurophysiol., vol. 92, no. 5, pp. 2802–2810, Nov. 2004.
[65]
H. Kajimoto, “Electrotactile Display with Real-Time Impedance Feedback Using Pulse Width Modulation,” IEEE Trans. Haptics, vol. 5, no. 2, pp. 184–188, Apr. 2012.

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    cover image ACM Conferences
    CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
    May 2021
    10862 pages
    ISBN:9781450380966
    DOI:10.1145/3411764
    This work is licensed under a Creative Commons Attribution-ShareAlike International 4.0 License.

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    Published: 07 May 2021

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    3. dexterity
    4. haptic actuation

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