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Hottest pixel segmentation based thermal image analysis for children

Rusli, Nazreen and Md. Yusof, Hazlina and Sidek, Shahrul Na'im and Latif, M. Hafiz (2017) Hottest pixel segmentation based thermal image analysis for children. In: 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES), 4th-8th December 2016, Kuala Lumpur.

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In this paper, the first order statistics for gray level intensity defined from thermal image is implemented to govern the significant and distinguishable characteristic pattern in thermal image of affective states. The impact of thresholding mechanism is studied to differentiate between positive affective states (happy) and negative affective states (sad) analysis in response to the stimuli adopted from International Affective Pictures System (IAPS) database. The hottest pixel segmentation technique is applied where it identifies the threshold level in a way to classify the hottest pixel area. The region of interest is narrowed to a forehead region with result of separation analysis made to left and right area. Two experiments have been conducted by using different set of stimuli and the results depicts of asymmetry and differed in culmination pattern for these two affective states. This conclusive result from this study suggests that this feature can be used as one of the important feature to give information of affective states on individuals with autism spectrum disorder (ASD) with least of facial expressions and perhaps would-be use in non-verbal means.

Item Type: Conference or Workshop Item (Other)
Additional Information: 3028/53830
Uncontrolled Keywords: thermal image; affective states; autism spectrum disorder; forehead region; feature extraction
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: 05 May 2017 14:48
Last Modified: 10 Jan 2019 12:53
URI: http://irep.iium.edu.my/id/eprint/53830

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