Infrared touch overlay has some problems in multi-touch recognition and trajectory smoothness. In order to deal with these problems, this paper adjusts the Kalman filter for infrared touch overlay. Before the application, it estimates the noise of process and measurement. It analyzes the process noise and measurement noise from test of three different touch trajectories. And then the paper choses the proper parameter for the Kalman filter on infrared touch overlay. The experimental results demonstrate that the Kalman filter with the noise parameter works much better in filtering of the infrared touch overlay's track, compared to the original recognition algorithm.
Current infrared touch overlay has problems on the touch point recognition which bring some burrs on the touch trajectory. This paper uses the target tracking algorithm to improve the recognition and smoothness of infrared touch overlay. In order to deal with the nonlinear state estimate problem for touch point tracking, we use the extended Kalman filter in the target tracking algorithm. And we also use the data fusion algorithm to match the estimate value with the original target trajectory. The experimental results of the infrared touch overlay demonstrate that the proposed target tracking approach can improve the touch point recognition of the infrared touch overlay and achieve much smoother tracking trajectory than the existing tracking approach.
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