A Wireless Head-Controlled Mouse Design Using Adaptive Unscented Kalman Filter Algorithm

Abstract

For some disabled people can’t use hand to control the mouse, this paper designs a novel head-controlled mouse. Using accelerometers and gyroscopes as the sensitive element of the system measure the head rotation angle. The mouse is controlled as for the relationship between the head rotation angle and the mouse move distance. For mouse click operation, this article designed a software to achieve. Considering the MEMS sensor noise affect the mouse control accuracy, using the unscented Kalman filter (UKF) to fusion the data of accelerometers and gyroscopes to obtain the optimal angle estimation. Compared with only using an accelerometer or gyroscope sensor, the method proposed in this paper for angle measurement can have high accuracy and stability, thereby improving the mouse control precision and maneuverability.