Ring-a-Pose: A Ring for Continuous Hand Pose Tracking

We present Ring-a-Pose, a single untethered ring that tracks continuous 3D hand poses. Located in the center of the hand, the ring emits an inaudible acoustic signal that each hand pose reflects differently. Ring-a-Pose imposes minimal obtrusions on the hand, unlike multi-ring or glove systems. It is not affected by the choice of clothing that may cover wrist-worn systems. In a series of three user studies with a total of 36 participants, we evaluate Ring-a-Pose's performance on pose tracking and micro-finger gesture recognition. Without collecting any training data from a user, Ring-a-Pose tracks continuous hand poses with a joint error of 14.1mm. The joint error decreases to 10.3mm for fine-tuned user-dependent models. Ring-a-Pose recognizes 7-class micro-gestures with a 90.60% and 99.27% accuracy for user-independent and user-dependent models, respectively. Furthermore, the ring exhibits promising performance when worn on any finger. Ring-a-Pose enables the future of smart rings to track and recognize hand poses using relatively low-power acoustic sensing.

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Publication Details

Journal
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
Published
2024-11-21
DOI
https://doi.org/10.1145/3699741
Citations
16
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
5.95
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article

Ring-a-Pose: A Ring for Continuous Hand Pose Tracking

Hyunchul Lim, Ke Li, Chi-Jung Lee, François V. Guimbretière et al.
16 citations
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
Hand Gesture Recognition Systems
5.95
article

Ring-a-Pose: A Ring for Continuous Hand Pose Tracking

Hyunchul Lim, Ke Li, Chi-Jung Lee, François V. Guimbretière, Saif Mahmud, Tianhong Catherine Yu, Cheng Zhang, Shuyang Nie, Devansh Agarwal, Jin-Seok Oh, Ruidong Zhang, Guilin Hu
article en
16 citations

Abstract

We present Ring-a-Pose, a single untethered ring that tracks continuous 3D hand poses. Located in the center of the hand, the ring emits an inaudible acoustic signal that each hand pose reflects differently. Ring-a-Pose imposes minimal obtrusions on the hand, unlike multi-ring or glove systems. It is not affected by the choice of clothing that may cover wrist-worn systems. In a series of three user studies with a total of 36 participants, we evaluate Ring-a-Pose's performance on pose tracking and micro-finger gesture recognition. Without collecting any training data from a user, Ring-a-Pose tracks continuous hand poses with a joint error of 14.1mm. The joint error decreases to 10.3mm for fine-tuned user-dependent models. Ring-a-Pose recognizes 7-class micro-gestures with a 90.60% and 99.27% accuracy for user-independent and user-dependent models, respectively. Furthermore, the ring exhibits promising performance when worn on any finger. Ring-a-Pose enables the future of smart rings to track and recognize hand poses using relatively low-power acoustic sensing.

Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous TechnologiesVol. 8(4)
Cornell University (US)
Openalex Percentile: Top 3%
Hand Gesture Recognition Systems
5.95
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