Sharma, Kamal and Jain, Neeraj and Pal, Pabir K (2017) Telemanipulation of a Robotic Arm using EEG Artifacts. IJMEC, 7 (26). pp. 3595-3609.

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Abstract

There has been extensive research in the field of Brain-Computer Interfaces (BCIs) and the field is continuously evolving in order to provide an easy to use interface for people with motor or other disabilities. The implementation of non-invasive BCIs using Electroencephalography (EEG) signals requires considerable signal processing to decode the brain signals as well as extensive training of the user. The Electromyography (EMG) signals produced from eye blinks, teeth clenching, etc are regarded as artifacts in EEG signals and are easy to generate and decode. This paper presents use of teeth clenching and eye blink ‘artifacts’ for an intuitive and easy to use control of a robotic arm in three dimensions to perform a pick and place task. Efficiency of the proposed technique is compared with a standard telemanipulation technique using a haptic device. Decision trees were used to adapt the technique for different operators.

Item Type:	Article
Subjects:	Neurodegenerative Disorders Neuro-Oncological Disorders Neurocognitive Processes Neuronal Development and Regeneration Informatics and Imaging Genetics and Molecular Biology
Depositing User:	Dr. D.D. Lal
Date Deposited:	29 Dec 2017 09:20
Last Modified:	21 Feb 2022 05:29
URI:	http://nbrc.sciencecentral.in/id/eprint/272

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