Title: A review on emotion recognition in Parkinson's disease using bioinformatics

Authors: K.N. Rejith; Kamalraj Subramaniam

Addresses: Department of ECE, Karpagam Academy of Higher Education, Coimbatore, India ' Faculty of Engineering, Karpagam Academy of Higher Education, Coimbatore, India

Abstract: Parkinson's disease individuals have been stressed and shown difficulty in emotion recognition and facial expression with increasing cognitive decline. In recent years, various studies have been conducted in emotion recognition of Parkinson's disease patients. In many research works, emotional state assessment using facial expression and EEG-based stimuli were used for emotion recognition study. In this paper, a review of electroencephelogram (EEG)-based emotion recognition in Parkinson's disease and its various research analyses in the past two decades have been analysed. Most of the papers have investigated total of six emotions in Parkinson's disease study such as happiness, sadness, fear, anger, surprise, and disgust to evaluate the emotion difficulties in Parkinson's disease people.

Keywords: cognitive deficit; electroencephalogram; emotion; emotional deficits; event related potential; facial emotion recognition; nonlinear methods; Parkinson's disease.

DOI: 10.1504/IJMEI.2020.111028

International Journal of Medical Engineering and Informatics, 2020 Vol.12 No.6, pp.542 - 552

Received: 18 Oct 2017
Accepted: 18 Jun 2018

Published online: 15 Oct 2020 *

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