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Study of emotional variability using photoplethysmogram signal

Sidek, Khairul Azami and Abd Halim, Noor Hafizah Azlin and Abdullah Din, Ummi Nur Kamilah and Ismail, Ahmad Fadzil (2018) Study of emotional variability using photoplethysmogram signal. Journal of Telecommunication, Electronic and Computer Engineering, 10 (1-6). pp. 1-6. ISSN 2180-1843 E-ISSN 2289-8131

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This study investigates the feasibility of photoplethysmogram (PPG) signals in recognizing variability in human’s funny, fear and sad emotions. Undoubtedly, Easy Pulse data acquisition device which is used to perceive the PPG signals have superior criterions which are small in size, low power consumption as well as low in cost. Thus, this study will prove the robustness and reliability of PPG signals as an emotion recognition mechanism. A total of ten subjects were chosen randomly which ranged from twenty-one to twenty-four years old. A total of five male and five female students were given three different videos to stimulate different emotions during the given time. Easy Pulse sensor, which has the ability in filtering the unwanted signals has made the study easier. Discriminative features are then extracted from the PPG morphology. PPI, maximum amplitude, as well as the Cardioid pattern of the signals. Finally, four methods of classification have been used to identify the variability in emotions. PPI, maximum amplitude, area and maximum radius of the Cardioid loop were used as the classifiers. These methods have clearly shown great results in differentiating between funny, fear and sad emotions. It was discovered that every human has different rate of sensitivity to fear and sad. Some have the tendency to be very sensitive to fear and some to sad. The experimental results demonstrated that the physiological signals such as PPG have great potentials where the system provides high classification performance.

Item Type: Article (Journal)
Additional Information: 4698/63336
Uncontrolled Keywords: Cardioid Method, Emotional Variability, Maximum Amplitude Method, PPG, PPI Method
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Assoc Prof Dr Khairul Azami Sidek
Date Deposited: 17 Apr 2018 11:55
Last Modified: 09 Aug 2018 12:19
URI: http://irep.iium.edu.my/id/eprint/63336

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