Emotion Recognition using Skin Conductance and Sentiment Analysis

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Published: Aug 22, 2019
DOI: https://doi.org/10.26483/ijarcs.v10i4.6457
Keywords:
emotion recognition, bio-signals, galvanic skin response, skin conductance, electro-dermal activity, valence, arousal, sentiment analysis

Main Article Content

Anisha M Lal
Vellore Institute of Technology, VIT University
Tushar Narula
Vellore Institute of Technology, VIT University

Abstract

The information about what a user is feeling as a reaction to a product is a very important aspect that we humans have concerned ourselves with within the last decade. From response towards advertisements to making an enhanced and personalized user interface, requires a solution pertaining to the field of finding the emotional state of the user. There are numerous methods to realize emotions including speech recognition and facial expressions, but these methods lack ubiquitous availability and can be fabricated otherwise. The other concern with the above methods is the higher level of inaccuracy. Therefore, the use of bio-signals is increasing. In this paper we utilize “Galvanic Skin Response (GSR)†or “Skin Conductance (SC)†or “Electro-dermal Activity (EDA)†to figure out 6 basic emotions. Feeling emotions is directly linked to the arousal of the body, and stimulates the sweat glands on our body, hence above written bio- signals seem to be a perfect fit for realizing emotions. Hence, we use skin conductance and sentiment analysis to find the emotional state of the user as a response to the social media content, making it a better fit for real-world applications.

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Article Details

Issue
Vol. 10 No. 4 (2019): July – August 2019
Section
Articles

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Author Biographies

Anisha M Lal, Vellore Institute of Technology, VIT University

School of Computer Science and Engineering

Tushar Narula, Vellore Institute of Technology, VIT University

School of Computer Science and Engineering

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