Skip to content

Research at St Andrews

Opisthenar: hand poses and finger tapping recognition by observing back of hand using embedded wrist camera

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Author(s)

Hui Shyong Yeo, Erwin Wu, Juyoung Lee, Aaron John Quigley, Hideki Koike

School/Research organisations

Abstract

We introduce a vision-based technique to recognize static hand poses and dynamic finger tapping gestures. Our approach employs a camera on the wrist, with a view of the opisthenar (back of the hand) area. We envisage such cameras being included in a wrist-worn device such as a smartwatch, fitness tracker or wristband. Indeed, selected off-the-shelf smartwatches now incorporate a built-in camera on the side for photography purposes. However, in this configuration, the fingers are occluded from the view of the camera. The oblique angle and placement of the camera make typical vision-based techniques difficult to adopt. Our alternative approach observes small movements and changes in the shape, tendons, skin and bones on the opisthenar area. We train deep neural networks to recognize both hand poses and dynamic finger tapping gestures. While this is a challenging configuration for sensing, we tested the recognition with a real-time user test and achieved a high recognition rate of 89.4% (static poses) and 67.5% (dynamic gestures). Our results further demonstrate that our approach can generalize across sessions and to new users. Namely, users can remove and replace the wrist-worn device while new users can employ a previously trained system, to a certain degree. We conclude by demonstrating three applications and suggest future avenues of work based on sensing the back of the hand.
Close

Details

Original languageEnglish
Title of host publicationProceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology (UIST 2019)
Place of PublicationNew York
PublisherACM
Pages963-971
Number of pages9
ISBN (Electronic)9781450368162
DOIs
Publication statusPublished - 17 Oct 2019
Event32nd ACM User Interface Software and Technology Symposium (UIST 2019) - New Orleans, United States
Duration: 20 Oct 201923 Oct 2019
Conference number: 32
http://uist.acm.org/uist2019/

Conference

Conference32nd ACM User Interface Software and Technology Symposium (UIST 2019)
Abbreviated titleUIST 2019
CountryUnited States
CityNew Orleans
Period20/10/1923/10/19
Internet address

    Research areas

  • Back of the hand, Opisthenar, Hand pose, Finger tapping

Discover related content
Find related publications, people, projects and more using interactive charts.

View graph of relations

Related by author

  1. Breathin: a breath pattern sensing approach for user computer interaction

    Hundia, R. & Quigley, A., 2 Dec 2019, OZCHI'19: Proceedings of the 31st Australian Conference on Human-Computer-Interaction. New York: ACM, p. 581-584

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. SnapChart: an augmented reality analytics toolkit to enhance interactivity in a collaborative environment

    Jing, A., Xiang, C., Kim, S., Billinghurst, M. & Quigley, A., 14 Nov 2019, Proceedings - VRCAI 2019: 17th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry. Spencer, S. N. (ed.). New York: Association for Computing Machinery, Inc, 2 p. 55

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. Making waves and combining strands at CHI 2021

    Sari, E., Quigley, A. & Kitamura, Y., Nov 2019, In : Interactions. 26, 6, p. 84-85 2 p.

    Research output: Contribution to journalComment/debate

  4. Special issue on highlights of ACM intelligent user interface (IUI) 2018

    Billinghurst, M., Burnett, M. & Quigley, A., 1 Oct 2019, In : ACM Transactions on Interactive Intelligent Systems. 10, 1, 1.

    Research output: Contribution to journalEditorial

  5. WRIST: Watch-Ring Interaction and Sensing Technique for wrist gestures and macro-micro pointing

    Yeo, H. S., Lee, J., Kim, H., Gupta, A., Bianchi, A., Vogel, D., Koike, H., Woo, W. & Quigley, A. J., 1 Oct 2019, Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '19). New York: ACM, 15 p. 19

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

ID: 260975557

Top