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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

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WRIST : Watch-Ring Interaction and Sensing Technique for wrist gestures and macro-micro pointing. / Yeo, Hui Shyong; Lee, Juyoung; Kim, Hyung-il; Gupta, Askar; Bianchi, Andrea; Vogel, Daniel; Koike, Hideki; Woo, Woontack; Quigley, Aaron John.

Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '19). New York : ACM, 2019. 19.

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

Harvard

Yeo, HS, Lee, J, Kim, H, Gupta, A, Bianchi, A, Vogel, D, Koike, H, Woo, W & Quigley, AJ 2019, WRIST: Watch-Ring Interaction and Sensing Technique for wrist gestures and macro-micro pointing. in Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '19)., 19, ACM, New York, 21st International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI 2019), Taipei, Taiwan, Province of China, 1/10/19. https://doi.org/10.1145/3338286.3340130

APA

Yeo, H. S., Lee, J., Kim, H., Gupta, A., Bianchi, A., Vogel, D., Koike, H., Woo, W., & Quigley, A. J. (2019). WRIST: Watch-Ring Interaction and Sensing Technique for wrist gestures and macro-micro pointing. In Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '19) [19] ACM. https://doi.org/10.1145/3338286.3340130

Vancouver

Yeo HS, Lee J, Kim H, Gupta A, Bianchi A, Vogel D et al. WRIST: Watch-Ring Interaction and Sensing Technique for wrist gestures and macro-micro pointing. In Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '19). New York: ACM. 2019. 19 https://doi.org/10.1145/3338286.3340130

Author

Yeo, Hui Shyong ; Lee, Juyoung ; Kim, Hyung-il ; Gupta, Askar ; Bianchi, Andrea ; Vogel, Daniel ; Koike, Hideki ; Woo, Woontack ; Quigley, Aaron John. / WRIST : Watch-Ring Interaction and Sensing Technique for wrist gestures and macro-micro pointing. Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '19). New York : ACM, 2019.

Bibtex - Download

@inproceedings{d2e5257d7eee4ef3a827f88f3e2f7687,
title = "WRIST: Watch-Ring Interaction and Sensing Technique for wrist gestures and macro-micro pointing",
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.",
keywords = "Smartwatch, Wrist gesture, Distal pointing, Large displays",
author = "Yeo, {Hui Shyong} and Juyoung Lee and Hyung-il Kim and Askar Gupta and Andrea Bianchi and Daniel Vogel and Hideki Koike and Woontack Woo and Quigley, {Aaron John}",
note = "Funding: Next-Generation In-ormation Computing Development Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT (NRF-2017M3C4A7066316) and Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No.2019-0-01270, WISE AR UI/UX Platform Development for Smartglasses).; 21st International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI 2019), MobileHCI 2019 ; Conference date: 01-10-2019 Through 04-10-2019",
year = "2019",
month = oct,
day = "1",
doi = "10.1145/3338286.3340130",
language = "English",
booktitle = "Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '19)",
publisher = "ACM",
address = "United States",
url = "https://mobilehci.acm.org/2019/",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - WRIST

T2 - 21st International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI 2019)

AU - Yeo, Hui Shyong

AU - Lee, Juyoung

AU - Kim, Hyung-il

AU - Gupta, Askar

AU - Bianchi, Andrea

AU - Vogel, Daniel

AU - Koike, Hideki

AU - Woo, Woontack

AU - Quigley, Aaron John

N1 - Conference code: 21

PY - 2019/10/1

Y1 - 2019/10/1

N2 - 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.

AB - 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.

KW - Smartwatch

KW - Wrist gesture

KW - Distal pointing

KW - Large displays

U2 - 10.1145/3338286.3340130

DO - 10.1145/3338286.3340130

M3 - Conference contribution

BT - Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '19)

PB - ACM

CY - New York

Y2 - 1 October 2019 through 4 October 2019

ER -

ID: 260975359

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