Abstract

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. We collected sample data from 17 users using a Leap Motion camera which provided the reference data. In a leave-one-user-out cross-validation test, we revealed a mean absolute error of 13.02 degrees over all finger angles. The motion of the little finger and the thumb are out of the capacitive measurement range or covered by the index and ring finger, respectively. In the case of natural finger movements, the angles of the little finger and thumb can be estimated with the movement of the remaining finger by the LSTM.

@INPROCEEDINGS{Wilhelm2020a,
author={Wilhelm, Mathias and Lechler, Jan-Peter and Krakowczyk, Daniel and Albayrak, Sahin},
booktitle={25th International Conference on Intelligent User Interfaces (IUI '20)},
title={Ring-based Finger Tracking Using Capacitive Sensors and Long Short-Term Memory},
year={2020},
volume={},
number={},
pages={5},
keywords={Finger tracking; capacitive sensing; ring; LSTM},
doi={10.1145/3377325.3377535},
url={978-1-4503-7118-6/20/03},
ISSN={978-1-4503-7118-6/20/03},
month={March},}