| Title | Hand Gesture and On-body Touch Recognition by Active Acoustic Sensing Throughout the Human Body |
| Publication Type | Conference Paper |
| Year of Publication | 2016 |
| Authors | Yokota, Tomohiro, Hashida, Tomoko |
| Conference Name | Proceedings of the 29th Annual Symposium on User Interface Software and Technology |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-4531-6 |
| Keywords | acoustic coupling, acoustic sensing, combined input, hand gestures, Human Behavior, machine learning, on-body touch, pubcrawl, Resiliency, scalabilty |
| Abstract | In this paper, we present a novel acoustic sensing technique that recognizes two convenient input actions: hand gestures and on-body touch. We achieved them by observing the frequency spectrum of the wave propagated in the body, around the periphery of the wrist. Our approach can recognize hand gestures and on-body touch concurrently in real-time and is expected to obtain rich input variations by combining them. We conducted a user study that showed classification accuracy of 97%, 96%, and 97% for hand gestures, touches on the forearm, and touches on the back of the hand. |
| URL | http://doi.acm.org/10.1145/2984751.2985721 |
| DOI | 10.1145/2984751.2985721 |
| Citation Key | yokota_hand_2016 |
Hand Gesture and On-body Touch Recognition by Active Acoustic Sensing Throughout the Human Body