Electroencephalography (EEG) Based Mobile Robot Control through an Adaptive Brain Robot Interface

Authors

  • Nabeel Shaway Shyaa Department Computer Systems, Southern Technical University, Iraq

Keywords:

ARM, ZigBee, BCI, Pick and Place module.

Abstract

This project mentioned a couple of brain controlled automaton supported Brain–computer interfaces (BCI). BCIs square measure systems that may by pass standard channels of communication (i.e., muscles and thoughts) to produce direct communication and management between the human brain and physical devices by translating totally different patterns of brain activity into commands in real time. With these commands a mobile automaton may be controlled. The intention of the project work is to develop a automaton that may assist the disabled folks in their standard of living to try and do some work freelance on others. Brain signals are detected by the brain wave device and it'll convert the info into packets and transmit through Bluetooth medium. Level instrument unit (LAU) can receive the brain wave information and it'll extract and method the signal victimization Mat lab platform. Then the management commands are transmitted to the robotic ARM module to method. With this whole system, we will choose AN object and place it consequently through the designed brain signals.

References

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Published

2018-04-23

How to Cite

Shyaa, N. S. (2018). Electroencephalography (EEG) Based Mobile Robot Control through an Adaptive Brain Robot Interface. American Scientific Research Journal for Engineering, Technology, and Sciences, 42(1), 139–147. Retrieved from https://asrjetsjournal.org/index.php/American_Scientific_Journal/article/view/3489

Issue

Vol. 42 No. 1 (2018)

Section

Articles

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