Research on Brain-Computer Interface System Based on DSP and Zigbee
Abstract— The brain-computer interface (BCI) system creates a new communication channel between the computer and the brain, which can be used to exchange information between the human brain and the external environment or control peripheral equipments. And it is dependent on computers or other electronic devices instead of the peripheral nerves and muscle tissue. This topic carries on the research of BCI system based on DSP and Zigbee. Through the acquisition of the human's steady state visual evoked potential (SSVEP), which will be translated into control commands and sent to household appliances (such as electric fans, curtains, lamps, etc.) via the wireless two-way communication module of Zigbee to make the control of the furniture through the brain come true. The experiment reveals that the recognition rate of the designed BCI system can reach more than 85%, and the consuming time of sending a single control command is less than 5 s. It is proved that the scheme of this system is feasible and has high application value.
Index Terms— BCI, SSVEP, DSP, Zigbee.
Yong Sun, Xiaoqin Li, Guoming Lin, Jinlong Zheng, Hongxia Hou
Tianjin Key Laboratory of Information Sensing & Intelligent Control, Tianjin University of Technology and Education, CHINA
Cite: Yong Sun, Xiaoqin Li, Guoming Lin, Jinlong Zheng, Hongxia Hou, "Research on Brain-Computer Interface System Based on DSP and Zigbee," Proceedings of 2018 the 8th International Workshop on Computer Science and Engineering, pp. 723-739, Bangkok, 28-30 June, 2018.