Citation

Mand, Ali Afzalian and Sayeed, Md. Shohel and Hossen, Md. Jakir (2022) A Robust Real-time Stress Detection System Using ECG and Neuro-Fuzzy Classification Method. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

Text 39_Ali Afzalian Mand_FIST.pdf - Submitted Version Restricted to Registered users only Download (634kB)

Abstract

A reliable solution for mutual sympathy in human computer interaction (HCI) has recently become a major issue in human life. • Machines disregard human emotion in the human computer interaction (no sympathy). • Stress in some social situations such as job interview can be tough even if one has gone through it many times. • Bio-signals are one of the most reliable input parameters for assessing human emotion. • The electrocardiogram signal (ECG) is one of the biosensors used in this study for stress detection.

Item Type:	Conference or Workshop Item (Poster)
Uncontrolled Keywords:	Electrocardiography, ECG
Subjects:	Q Science > QP Physiology > QP1-345 General Including influence of the environment
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	19 Dec 2022 02:54
Last Modified:	19 Dec 2022 02:54
URII:	http://shdl.mmu.edu.my/id/eprint/10903

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