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Wireless Affective Brain Computer Interface based Emotion Assessment Model

by S. C. Dharmadhikari, S.H. Chandak, R. R. Chhajed
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 181 - Number 48
Year of Publication: 2019
Authors: S. C. Dharmadhikari, S.H. Chandak, R. R. Chhajed
10.5120/ijca2019918649

S. C. Dharmadhikari, S.H. Chandak, R. R. Chhajed . Wireless Affective Brain Computer Interface based Emotion Assessment Model. International Journal of Computer Applications. 181, 48 ( Apr 2019), 8-11. DOI=10.5120/ijca2019918649

@article{ 10.5120/ijca2019918649,
author = { S. C. Dharmadhikari, S.H. Chandak, R. R. Chhajed },
title = { Wireless Affective Brain Computer Interface based Emotion Assessment Model },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2019 },
volume = { 181 },
number = { 48 },
month = { Apr },
year = { 2019 },
issn = { 0975-8887 },
pages = { 8-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume181/number48/30477-2019918649/ },
doi = { 10.5120/ijca2019918649 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:09:27.027083+05:30
%A S. C. Dharmadhikari
%A S.H. Chandak
%A R. R. Chhajed
%T Wireless Affective Brain Computer Interface based Emotion Assessment Model
%J International Journal of Computer Applications
%@ 0975-8887
%V 181
%N 48
%P 8-11
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Largest proportion of people suffering from depression are women on account of hormonal imbalances occurred owing to varied reasons such as Pregnancy, Polycystic Ovary Syndrome (PCOD), Premenstrual syndrome (PMS), menopause, malnutrition etc. In this respect, it is very much necessary to create awareness among them about drastic implications of depression on their life. Moreover, there is also need to provide them with very easy to use mechanism for detecting and treating depression level at its earlier stage in order to improve the confidence level, decision making and quality of life. In an attempt, this paper address this clinically critical issue by providing valuable comprehensive survey with respect to aforesaid topic and proposing a wireless affective brain computer interaction based easy to use assessment model to detect depression and anxiety levels with the objective to reduce level of depression by contributing to the multidisciplinary fields of neuroscience, psychology and computer science.

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Index Terms

Computer Science
Information Sciences

Keywords

Affective Brain Computer interface electroencephalogram neuroscience

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