PeriSense: Ring-based finger tracking using capacitive sensing скачать в хорошем качестве

PeriSense: Ring-based finger tracking using capacitive sensing

Ring-based finger tracking using capacitive sensing and a long short-term memory (LSTM) based regression model. We present a ring-shaped interaction device, called PeriSense, utilizing capacitive sensing in order to enable finger tracking. The finger angles and its adjacent fingers are sensed by measuring capacitive proximity between electrodes and human skin. To map the capacitive measurements to the finger angles, we use long short-term memory (LSTM). By wearing the ring on the middle finger, the angles of the index, middle and ring finger can be determined from the capacitive measurements. The finger tracking model can be used for finger gesture recognition and visualization of finger movements (e.g. for virtual or mixed reality applications). Mathias Wilhelm, Jan-Peter Lechler, Daniel Krakowczyk, Sahin Albayrak. 2020. Ring-based Finger Tracking Using Capacitive Sensors and Long Short-Term Memory. In 25th International Conference on Intelligent User Interfaces (IUI ’20), March 17–20, 2020, Cagliari, Italy. ACM, New York, NY, USA, 5 pages. https://doi.org/10.1145/3377325.3377535 Mathias Wilhelm, Jan-Peter Lechler, Daniel Krakowczyk, Sahin Albayrak. 2020. Demonstration of Finger Tracking Using Capacitive Sensing with a Ring. In 25th International Conference on Intelligent User Interfaces Companion (IUI ’20 Companion), March 17–20, 2020, Cagliari, Italy. ACM, New York, NY, USA, 2 pages. https://doi.org/10.1145/3379336.3381475 This project was funded by the German Research Foundation (Deutsche Forschungsgemeinschaft (DFG)); grant no. 320971279. GEMA-free music from https://www.musicfox.com