Ring-a-Pose: A Ring for Continuous Hand Pose Tracking
Fuente:
arXiv
Salvato in:
| Autori principali: | , , , , , , , , , , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2024
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866909384931540992 |
|---|---|
| author | Yu, Tianhong Catherine Hu, Guilin Zhang, Ruidong Lim, Hyunchul Mahmud, Saif Lee, Chi-Jung Li, Ke Agarwal, Devansh Nie, Shuyang Oh, Jinseok Guimbretière, François Zhang, Cheng |
| author_facet | Yu, Tianhong Catherine Hu, Guilin Zhang, Ruidong Lim, Hyunchul Mahmud, Saif Lee, Chi-Jung Li, Ke Agarwal, Devansh Nie, Shuyang Oh, Jinseok Guimbretière, François Zhang, Cheng |
| contents | 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 30 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_12980 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Ring-a-Pose: A Ring for Continuous Hand Pose Tracking Yu, Tianhong Catherine Hu, Guilin Zhang, Ruidong Lim, Hyunchul Mahmud, Saif Lee, Chi-Jung Li, Ke Agarwal, Devansh Nie, Shuyang Oh, Jinseok Guimbretière, François Zhang, Cheng Human-Computer Interaction 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 30 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. |
| title | Ring-a-Pose: A Ring for Continuous Hand Pose Tracking |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2404.12980 |