Non-invasive, non-contact based affective state identification

Ghazali, Aimi Shazwani and Sidek, Shahrul Na'im (2014) Non-invasive, non-contact based affective state identification. In: 2014 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE), 7-8 Apr. 2014, Penang, Malaysia.

	PDF - Published Version Restricted to Repository staff only Download (321kB) | Request a copy
Preview	PDF Download (456kB) | Preview

Abstract

This paper discusses a study on detecting affective states of human subjects from their body’s electromagnetic (EM) wave. In particular, the affective states under investigation are happy, nervous, and sad which play important roles in Human-Robot Interaction (HRI)applications. A structured experimental setup was designed to invoke the desired affective states. These states are induced by exposing the subject to a specific set of audiovisual stimulations upon which the EM waves are captured from ten different regions of the subject’s body by using a handheld device called Resonant Field Imaging (RFITM). Nine subjects are randomly chosen and the collected data are then preprocessed and trained by Bayesian Network (BN) to map the EM wave to the corresponding affective states. Preliminary results demonstrate the ability of the BN to predict human affective state with 80.6% precision, and 90% accuracy.

Item Type:	Conference or Workshop Item (Other)
Additional Information:	3028/38242 ISBN: 978-147994351-7
Uncontrolled Keywords:	affective state; Human-Robot Interaction (HRI); electromagnetic (EM) wave.
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:	12 Sep 2014 11:50
Last Modified:	10 Jan 2019 13:02
URI:	http://irep.iium.edu.my/id/eprint/38242

Actions (login required)

View Item