WristMouse: Wearable mouse controller based on pressure sensors

Yufei Zhang, Bin Liu, Zhiqiang Liu

Abstract: In this paper, we present a wearable mouse controller based on pressure sensors, which can recognize the hand gestures in real-time and translate them into the movements of the mouse. Only four force sensitive resistors ( FSRs) are placed around the wrist to capture the wrist pressure distribution of different hand gestures. A novel real-time recognition framework is proposed to accurately and quickly identify the starting and ending position of the gesture. In the proposed framework, a pressure-parameter adaptive updating strategy is designed for improving the robust of the system to cope with different hand positions, different users and re-wear scenarios. To ensure the real-time of the system, we design some simple features and classifiers to recognize hand gestures for decreasing the time complexity. In addition, the WristMouse prototype has a small volume, a low energy consumption and is easy to integrate with the normal wearable devices like smart watch and smart wristband. Our study shows that the proposed system has a good performance in the real-time hand gesture recognition with a high F-score of 92.55%, and the average time delay per second is less than 50ms for processing data.