Skip to content

Research at St Andrews

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

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

Author(s)

Hui Shyong Yeo, Juyoung Lee, Hyung-il Kim, Askar Gupta, Andrea Bianchi, Daniel Vogel, Hideki Koike, Woontack Woo, Aaron John Quigley

School/Research organisations

Abstract

To better explore the incorporation of pointing and gesturing into ubiquitous computing, we introduce WRIST, an interaction and sensing technique that leverages the dexterity of human wrist motion. WRIST employs a sensor fusion approach which combines inertial measurement unit (IMU) data from a smartwatch and a smart ring. The relative orientation difference of the two devices is measured as the wrist rotation that is independent from arm rotation, which is also position and orientation invariant. Employing our test hardware, we demonstrate that WRIST affords and enables a number of novel yet simplistic interaction techniques, such as (i) macro-micro pointing without explicit mode switching and (ii) wrist gesture recognition when the hand is held in different orientations (e.g., raised or lowered). We report on two studies to evaluate the proposed techniques and we present a set of applications that demonstrate the benefits of WRIST. We conclude with a discussion of the limitations and highlight possible future pathways for research in pointing and gesturing with wearable devices.
Close

Details

Original languageEnglish
Title of host publicationProceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '19)
Place of PublicationNew York
PublisherACM
Number of pages15
ISBN (Electronic)9781450368254
DOIs
Publication statusPublished - 1 Oct 2019
Event21st International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI 2019) - Taipei International Convention Center, Taipei, Taiwan, Province of China
Duration: 1 Oct 20194 Oct 2019
Conference number: 21
https://mobilehci.acm.org/2019/

Conference

Conference21st International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI 2019)
Abbreviated titleMobileHCI 2019
CountryTaiwan, Province of China
CityTaipei
Period1/10/194/10/19
Internet address

    Research areas

  • Smartwatch, Wrist gesture, Distal pointing, Large displays

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

View graph of relations

Related by author

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

    Yeo, H. S., Wu, E., Lee, J., Quigley, A. J. & Koike, H., 17 Oct 2019, Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology (UIST 2019). New York: ACM, p. 963-971 9 p.

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

  2. Augmented learning for sports using wearable head-worn and wrist-worn devices

    Yeo, H. S., Koike, H. & Quigley, A., 15 Aug 2019, 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1578-1580 3 p. 8798054

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

  3. Deb8: a tool for collaborative analysis of video

    Carneiro, G., Nacenta, M., Toniolo, A., Mendez, G. & Quigley, A. J., 4 Jun 2019, Proceedings of the 2019 ACM International Conference on Interactive Experiences for TV and Online Video (TVX '19). ACM, p. 47-58

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

  4. Walkers—encoding multivariate data into human motion sequences

    Carson, I., Hinrichs, U. & Quigley, A. J., 5 May 2019.

    Research output: Contribution to conferencePaper

  5. Deb8: collaborative fact checking

    Carneiro, G., Nacenta, M., Toniolo, A., Mendez, G. G. & Quigley, A. J., 5 May 2019.

    Research output: Contribution to conferencePaper

ID: 260975359

Top