Design and Implementation of P300 Brain-Controlled Wheelchair with a Developed Wireless DA Converter


  • Zizhu Li Graduate School of Engineering, Saitama Institute of Technology, Fukaya 369-0217, Japan
  • Boning Li School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
  • Wenping Luo RIKEN Center for Advanced Intelligence Project(AIP), 103-0027, Japan
  • Jianting Cao Graduate School of Engineering, Saitama Institute of Technology, Fukaya 369-0217, Japan



Support vector machine, P300, Brain-Controlled System, wireless Digital-to-Analog converter


This article presents a P300 brain-controlled wheelchair system utilizing a wireless Digital-to-Analog converter for signal transmission. The wireless Digital-to-Analog converter addresses issues with device connectivity and simplifies signal transmission, removing the need for complex serial port protocols. A support vector machine model is trained to extract the P300 component from the Electroencephalogram signal. A P300 stimulator is designed to elicit the P300 component response, with subjects controlling the wheelchair's movement by looking at randomly flickering white circles. Experimental validation is conducted on a modified wheelchair, demonstrating the effectiveness and reliability of the proposed method.


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How to Cite

Li, Z., Li, B., Luo, W., & Cao, J. (2023). Design and Implementation of P300 Brain-Controlled Wheelchair with a Developed Wireless DA Converter. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 23, 93–104.



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