Proceedings of the Conference on Advances in Communication and Control Systems-2013

Emotion estimation of physiological signals by using low power embedded system

Authors
Tanu Sharma, Bhanu Kapoor
Corresponding Author
Tanu Sharma
Available Online April 2013.
Abstract
Emotions are an essential and productive aspect of human thought or action and human thought is inherently emotional. Emotions are factors which vary as mood varies. When person experience different emotions then there is also change in physiological signals in human body and with this variation comes in different parameters like skin conductance(GSR), heart rate(HRV), brain waves (EEG), muscle tension, blood volume pulse(BVP), temperature and respiration. Emotional coefficients are sensed by these parameters. By using EI (Emotional Intelligence) we can experience ability to identify, access and can control emotion of our self or others. This factor is high in magnitude. In some magnitude when person experiencing emotion they face different factors. As some gets completely concealed, some gets diverted and some don’t express themselves by hiding their emotion in real world. The main objective of this paper is to design and develop a system through which we can measure the tension level of a person perceived by portable and cost effecting embedded system using MSP430F2013.Focusing parameters are GSR, BVP, EEG and Temperature. Their variations are discovered to conclude the emotional state of the subject (person) by low power device
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Proceedings
Proceedings of the Conference on Advances in Communication and Control Systems-2013
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-90-78677-66-6
ISSN
1951-6851
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Tanu Sharma
AU  - Bhanu Kapoor
PY  - 2013/04
DA  - 2013/04
TI  - Emotion estimation of physiological signals by using low power embedded system
BT  - Proceedings of the Conference on Advances in Communication and Control Systems-2013
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://www.atlantis-press.com/article/6275
ID  - Sharma2013/04
ER  -