Classification for Motion Game Based on EEG Sensing

Abstract

Due to the sensor technology and classification algorithm, the accuracy of the EEG and the motion signal based classification system are limited. And the motion sensor based interface system cannot show user’s mental activity such as engagement situation, tiredness state and so on, which are very important in education and medical care situations. In this paper, an openBCI and a Kinect sensor based motion classification system are proposed. The experiments results shown that the proposed method are out form the traditional motion or EEG based activity classification systems, and it is expected to develop a novel interactive device for the children and elders based on the integration algorithm.