Human Robot Interaction in the Application of EEG Controlling Robots

Authors

  • Mohamed Alseddiqi Department of Computer Engineering King Fahd University of Petroleum & Minerals Dhahran, SAUDI ARABIA
  • Anwar AL-Mofleh Clinical Engineering Directorate, King Hamad University Hospital, Building: 2435, Road 2835, Block 228 P.O. Box 24343, Busaiteen, KINGDOM OF BAHRAIN
  • Mohamed AlMahmood Department of Computer Engineering King Fahd University of Petroleum & Minerals Dhahran, SAUDI ARABIA
  • Ammar Alzaidi Department of Mechanical Engineering King Fahd University of Petroleum & Minerals Dhahran, SAUDI ARABIA

DOI:

https://doi.org/10.31033/ijemr.13.1.1

Keywords:

Brain Robot Interface (BRI), Brain Computer Interface (BCI), Electroencephalogram (EEG)

Abstract

In order to control a robot precisely, this essay highlights the growing need for better communication tools between humans and machines. The best method of communication between them is a brain-computer interface (BCI), particularly for the treatment of persons with disabilities and the completion of complex activities like surgery, rehabilitation, and procedures, among other things. The purpose of the survey was to measure public perceptions of and awareness of human-robot interaction (HRI) in the context of brain-computer interfacing (BCI).

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Published

2023-02-01

How to Cite

Mohamed Alseddiqi, Anwar AL-Mofleh, Mohamed AlMahmood, & Ammar Alzaidi. (2023). Human Robot Interaction in the Application of EEG Controlling Robots. International Journal of Engineering and Management Research, 13(1), 1–5. https://doi.org/10.31033/ijemr.13.1.1

Issue

Vol. 13 No. 1 (2023): February Issue

Section

Articles

License

Copyright (c) 2023 Mohamed Alseddiqi, Anwar AL-Mofleh, Mohamed AlMahmood, Ammar Alzaidi

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.