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Smart Wheelchair Using Brain Waves Through Machine Learning by Jenamani Chandrakanta Badajena; Srinivas Sethi; Amrit Dash; Priyanka Rout; Ramesh K. Sahoo is a book available to read on EtoBox.

What is Smart Wheelchair Using Brain Waves Through Machine Learning about?

Maneuvering a mechanical wheelchair is a difficult task for a paralyzed person. Hence, there is a need for designing a wheelchair that is intelligent and provides easy maneuverability for persons who are not capable of handling the manual maneuvering process. Our proposed system is designed to receive, process, and classify electroencephalographic signals before controlling the wheelchair. This paper is based on an analysis of the cognitive function of the human brain, and its deployment through machine learning algorithms. It has been analyzed that machine learning algorithms improve the accuracy of electroencephalograph (EEG) response data. We have captured brain signals using the NeuroMAX-32 instrument from human beings under various stimuli conditions and tried to classify data using naive Bayes, support vector machine (SVM), and decision tree (J48). Attention and meditation level of person has been obtained from EEG response data, and it will be used to move, control, and stop the wheelchair using microcontroller.

Author

Jenamani Chandrakanta Badajena; Srinivas Sethi; Amrit Dash; Priyanka Rout; Ramesh K. Sahoo

Publisher

Springer Nature Singapore : Imprint: Springer

Published

2022

Language

EN

ISBN

9789811909016

Subjects

Computer Science, Engineering, Mathematics