research-article

Non-invasive optical detection of hand gestures

Authors:

Santiago Ortega-Avila,

Bogdana Rakova,

Sajid Sadi,

Pranav MistryAuthors Info & Claims

AH '15: Proceedings of the 6th Augmented Human International Conference

Pages 179 - 180

https://doi.org/10.1145/2735711.2735801

Published: 09 March 2015 Publication History

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Abstract

In this paper we present a novel type of sensing technology for hand and finger gesture recognition that utilizes light in the invisible spectrum to detect changes in position and form of body tissue like tendons and muscles. The proposed system can be easily integrated with existing wearable devices. Our approach not only enables gesture recognition but it could potentially double to perform a variety of health related monitoring tasks (e.g. heart rate, stress).

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Cited By

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Zhong Edel-Blanco CBerjón DJaureguizar FGarcía N(2023)Real-Time Monocular Skeleton-Based Hand Gesture Recognition Using 3D-JointsformerSensors10.3390/s2316706623:16(7066)Online publication date: 10-Aug-2023
https://doi.org/10.3390/s23167066
Kang PLi JJiang SShull P(2023)Reduce System Redundancy and Optimize Sensor Disposition for EMG–IMU Multimodal Fusion Human–Machine Interfaces With XAIIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2022.323215972(1-9)Online publication date: 2023
https://doi.org/10.1109/TIM.2022.3232159
Wang XVeeramani DZhu Z(2023)Wearable Sensors-Based Hand Gesture Recognition for Human–Robot Collaboration in ConstructionIEEE Sensors Journal10.1109/JSEN.2022.322280123:1(495-505)Online publication date: 1-Jan-2023
https://doi.org/10.1109/JSEN.2022.3222801
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Index Terms

Non-invasive optical detection of hand gestures
1. Human-centered computing
  1. Human computer interaction (HCI)

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Information & Contributors

Information

Published In

AH '15: Proceedings of the 6th Augmented Human International Conference

March 2015

241 pages

ISBN:9781450333498

DOI:10.1145/2735711

General Chairs:
Suranga Nanayakkara
Singapore University of Technology and Design (Singapore)
,
Ellen Yi-Luen Do
Georgia Institute of Technology & National University of Singapore (Singapore)
,
Program Chairs:
Jun Rekimoto
The University of Tokyo (Japan)
,
Jochen Huber
MIT Media Lab & Singapore University of Technology and Design (Singapore)
,
Bing-Yu Chen
National Taiwan University (Taiwan)

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 March 2015

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AH '15

AH '15: The 6th Augmented Human International Conference

March 9 - 11, 2015

Singapore, Singapore

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Overall Acceptance Rate 121 of 306 submissions, 40%

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Cited By

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Zhong Edel-Blanco CBerjón DJaureguizar FGarcía N(2023)Real-Time Monocular Skeleton-Based Hand Gesture Recognition Using 3D-JointsformerSensors10.3390/s2316706623:16(7066)Online publication date: 10-Aug-2023
https://doi.org/10.3390/s23167066
Kang PLi JJiang SShull P(2023)Reduce System Redundancy and Optimize Sensor Disposition for EMG–IMU Multimodal Fusion Human–Machine Interfaces With XAIIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2022.323215972(1-9)Online publication date: 2023
https://doi.org/10.1109/TIM.2022.3232159
Wang XVeeramani DZhu Z(2023)Wearable Sensors-Based Hand Gesture Recognition for Human–Robot Collaboration in ConstructionIEEE Sensors Journal10.1109/JSEN.2022.322280123:1(495-505)Online publication date: 1-Jan-2023
https://doi.org/10.1109/JSEN.2022.3222801
García AGonzález JPalomino APinto DBeltrán BSingh V(2022)Detection of the level of attention in children with ADHD through brain waves and corporal postureJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-21924242:5(4531-4540)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.3233/JIFS-219242
Devrio NHarrison C(2022)DiscoBand: Multiview Depth-Sensing Smartwatch Strap for Hand, Body and Environment TrackingProceedings of the 35th Annual ACM Symposium on User Interface Software and Technology10.1145/3526113.3545634(1-13)Online publication date: 29-Oct-2022
https://dl.acm.org/doi/10.1145/3526113.3545634
Jiang SKang PSong XLo BShull P(2022)Emerging Wearable Interfaces and Algorithms for Hand Gesture Recognition: A SurveyIEEE Reviews in Biomedical Engineering10.1109/RBME.2021.307819015(85-102)Online publication date: 2022
https://doi.org/10.1109/RBME.2021.3078190
Wilhelm MKrakowczyk DAlbayrak S(2020)PeriSense: Ring-Based Multi-Finger Gesture Interaction Utilizing Capacitive Proximity SensingSensors10.3390/s2014399020:14(3990)Online publication date: 17-Jul-2020
https://doi.org/10.3390/s20143990
Wu EYuan YYeo HQuigley AKoike HKitani KIqbal SMacLean KChevalier FMueller S(2020)Back-Hand-PoseProceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology10.1145/3379337.3415897(1147-1160)Online publication date: 20-Oct-2020
https://dl.acm.org/doi/10.1145/3379337.3415897
Truong HZhang SMuncuk UNguyen PBui NNguyen ALv QChowdhury KDinh TVu T(2018)CapBandProceedings of the 16th ACM Conference on Embedded Networked Sensor Systems10.1145/3274783.3274854(54-67)Online publication date: 4-Nov-2018
https://dl.acm.org/doi/10.1145/3274783.3274854
Gong JYang XSeyed TDavis JYang XBaudisch PSchmidt AWilson A(2018)IndutivoProceedings of the 31st Annual ACM Symposium on User Interface Software and Technology10.1145/3242587.3242662(321-333)Online publication date: 11-Oct-2018
https://dl.acm.org/doi/10.1145/3242587.3242662
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WristFlex: low-power gesture input with wrist-worn pressure sensors

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