Journal of IKEEE (전기전자학회논문지)

Institute of Korean Electrical and Electronics Engineers (한국전기전자학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on the Walking Recognition Method of Assistance Robot Legs Using EEG and EMG Signals

  • Shin, Dae Seob (Dept. of Electronic Information Communication Division, Shin Ansan University)
  • Received : 2020.03.10
  • Accepted : 2020.03.24
  • Published : 2020.03.31
Download PDF
⟨ Previous Next ⟩

Abstract

This paper is to study the exoskeleton robot for the walking of the elderly and the disabled. We developed and tested an Exoskeletal robot with two axes of freedom for joint motion. The EEG and EMG signals were used to move the joints of the Exoskeletal robot. By analyzing the EMG signal, the control signal was extracted and applied to the robot to facilitate the walking operation of the walking assistance robot. In addition, the brain-computer interface technology is applied to perform the operation of the robot using brain waves, spontaneous electrical activities recorded on the human scalp. These two signals were fused to study the walking recognition method of the supporting robot leg.

Keywords

References

  1. G. Pfurtscheller et al., "Current trends in Graz brain-computerinterface (BCI) reseach," IEEE Tras. Rehab. Enginnering., Vol.8, pp.216-219, 2000. DOI: 10.1109/86.847821
  2. ZHAO QiBin, ZHANG LiQing & CICHOCKI Andrzej "EEG-based asynchronous BCI control of a car in 3D virtual reality environments," Chinese Science Bulletin, Vol.54, no.1, pp.78-87, 2009. DOI: 10.1007/s11434-008-0547-3
  3. J. R. Wolpaw, D. J. McFarland, and T. M. Vaughan "Brain-Computer Communication," Proceeding of the IEEE, Vol.89, No.7, 2001.
  4. Ndre Ferreira, "Human-machine interfaces based on EMG and EEG applied to robotic systems," Journal of NeuroEngineering and Rehabilitation, 2008. DOI: 10.1186/1743-0003-5-10