WRIST: Watch-ring interaction and sensing technique for wrist gestures and macro-micro pointing

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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.
Publisher
Association for Computing Machinery, Inc
Issue Date
2019-10
Language
English
Citation

21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019, pp.19:1 - 19:15

DOI
10.1145/3338286.3340130
URI
http://hdl.handle.net/10203/275087
Appears in Collection
GCT-Conference Papers(학술회의논문)
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