Time Series modeling and analysis of EEG Signal for wheelchair controller using Raspberry PI4

Asst. Prof. Dr. Naufel Bahjat Mohammed

Time Series modeling and analysis of EEG Signal for wheelchair controller using Raspberry PI4

Authors

Asst. Prof. Dr. Naufel Bahjat Mohammed Head of Computer Department, KISSR

Keywords:

Modelling, EEG Signal, Wheelchair Controller

Abstract

This paper discusses a Wheelchair controller based on an EEG signal collected from a person using Mindwave mobile 2 and processed by a Raspberry pi.4. A time series analysis was applied to build a statistical model to control a wheelchair with two DC motors.

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Published

2023-04-10

How to Cite

Asst. Prof. Dr. Naufel Bahjat Mohammed. (2023). Time Series modeling and analysis of EEG Signal for wheelchair controller using Raspberry PI4. Zeta Repository, 17, 35–43. Retrieved from https://zetarepo.com/index.php/zr/article/view/2279