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A research on facial visual-infrared stereo vision fusion measurement for internal state estimation

Mohd, Mohd Norzali (2015) A research on facial visual-infrared stereo vision fusion measurement for internal state estimation. PhD thesis, Kagoshirna University, Japan.


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Our main aim is to propose a vision-based measurement as an alternative to physiological measurement for recognizing mental stress. The development of this emotion recognition system involved three stages: experimental setup for vision and physiological sensing, facial feature extraction in visual-thermal domain, mental stress stimulus experiment and data analysis based on Support Vector Machine (SVM). In this thesis, 3 vision based measurement and 2 physiological measurement was implemented in the system. Vision based measurement in facial vision domain consists of 3 ROI' s temperature value and blood vessel volume at supraorbital area. Two physiological measurement were done to measure the ground value which is heart rate and salivary amylase level. We also propose a new calibration chessboard attach with fever plaster to locate calibration point in stereo view. A new method of integration of two different sensors for detecting facial feature in both thermal and visual is also presented by applying nostril mask, which allows one to find facial feature namely nose area in thermal and visual domain. Extraction of thermal-visual feature images was done by using SIFT feature detector and extractor to verify the method of using nostril mask. Based on the experiment conducted, 88.6% of correct matching was detected. In the eyes blinking experiment, almost 98% match was detected successfi.dly for without glasses and 89% with glasses. Graph cut algorithm was applied to remove unwanted ROI. The recognition rate of 3 ROI's was about 90-96%. We also presented new method of automatic detection of blood vessel volume at Supraorbital monitored by LWIR camera. The recognition rate of correctly detected pixel was about 93%. An experiment to measure mental stress by using the proposed system based on SVM classification had been proposed and conducted and showed promising results.

Item Type: Thesis (PhD)
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics
Depositing User: En. Sharul Ahmad
Date Deposited: 11 Apr 2016 08:31
Last Modified: 11 Apr 2016 08:31
URI: http://eprints.uthm.edu.my/id/eprint/7892
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