Search for: All records

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. 

Previous research has shown that individuals behave differently in certain virtual reality tasks. The effect of VR on human posture and stability is an important factor that can influence the future applications of VR devices. This current study seeks to investigate how a person’s postural stability differs between VR and normal environment while attempting to replicate the influence of target distance on sway. Ten healthy subjects were tested in both environments with targets varying in distance. The results found a significant difference in postural stability for normal anatomical stance tasks between VR and normal environments.