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.
Authors
- Hyunchul Lim (ORCID: https://orcid.org/0000-0001-8397-3534)
- Ke Li (ORCID: https://orcid.org/0000-0002-4208-7904)
- Chi-Jung Lee (ORCID: https://orcid.org/0000-0002-1887-4000)
- François V. Guimbretière (ORCID: https://orcid.org/0000-0002-5510-6799)
- Saif Mahmud (ORCID: https://orcid.org/0000-0002-5283-0765)
- Tianhong Catherine Yu (ORCID: https://orcid.org/0000-0002-3742-0178)
- Cheng Zhang (ORCID: https://orcid.org/0000-0002-5079-5927)
- Shuyang Nie
- Devansh Agarwal (ORCID: https://orcid.org/0009-0005-1338-9275)
- Jin-Seok Oh (ORCID: https://orcid.org/0009-0001-6353-1074)
- Ruidong Zhang (ORCID: https://orcid.org/0000-0001-8329-0522)
- Guilin Hu (ORCID: https://orcid.org/0009-0001-6404-9968)
Institutions
- Cornell University (US)
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