| Issue |
ITM Web Conf.
Volume 11, 2017
2017 International Conference on Information Science and Technology (IST 2017)
|
|
|---|---|---|
| Article Number | 05002 | |
| Number of page(s) | 6 | |
| Section | Session V: Intelligent Sensing Technology | |
| DOI | https://doi.org/10.1051/itmconf/20171105002 | |
| Published online | 23 May 2017 | |
Classification for Motion Game Based on EEG Sensing
1 School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin, China
2 School of Computer Science and Software Engineering, Tianjin Polytechnic University, Tianjin, China
3 TEDA Orking Hi-Tech Company Limited, Tianjin, China
4 Tianjin Key Laboratory of Optoelectronic Detection Technology and System, Tianjin, China
a Corresponding author: xindang_tjpu@126.com
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.
© Owned by the authors, published by EDP Sciences, 2017
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