Electromagnetic based emotion recognition using ANOVA feature selection and bayes network

Ghazali, Aimi Shazwani and Sidek, Shahrul Na'im (2014) Electromagnetic based emotion recognition using ANOVA feature selection and bayes network. In: 2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES 2014), 8-10 December 2014, Miri, Sarawak.

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Abstract

The paper discusses the development of emotion recognition system which can be applied to a wider range of human population. This is achieved by measuring the unique electromagnetic (EM) signal generated upon invoking certain emotions. A set of audio-visual stimulants is designed to invoke the desired emotions under study that are happy, sad and nervous. A set of questionnaire is developed to verify the stimulant effectiveness in invoking the emotion. The recognition of the emotion is deduced from the measured electromagnetic signals radiated from the human body by a handheld device called Resonant Field Imaging (RFITM). There are ten points of interest (POIs) on the body where the signals are measured to form the dataset which later fed into Bayes Network (BN) to classify the emotion. ANOVA test is run in selecting the best features to classify the emotions. The result after eliminating 6 from 10 POIs demonstrates the system performance is not compromised. The efficiency of ANOVA and BN in selecting the best features to model the emotion recognition system has successfully optimized the cost of the system and reduced the time to measure the signals quite significantly.

Item Type:	Conference or Workshop Item (Other)
Additional Information:	3028/39795 ISBN 978-1-4799-4084-4
Uncontrolled Keywords:	electromagnetic signal; ANOVA test; Bayes Network; emotion recognition
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA164 Bioengineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Dr. Shahrul Naim Sidek
Date Deposited:	13 May 2015 09:27
Last Modified:	10 Jan 2019 13:02
URI:	http://irep.iium.edu.my/id/eprint/39795

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