Real-Time personalized stress detection from physiological signals

Syazani, Muhammad and Khalifa, Othman Omran and Saeed, Rashid Abdelhaleem (2015) Real-Time personalized stress detection from physiological signals. In: International Conference on Computing, Control, Networking, Electronics and Embedded Systems Engineering (ICCNEEE'15), 7th-9th Sept. 2015, Khartoum, Sudan.

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Abstract

This is the era of modern life. The era of email, text messages, Facebook and Twitter, careers Crisis news coming from everywhere at any time. We (human) are assaulted with facts, pseudo facts, jibber-jabber, and rumour all posing as information. We text while we’re walking across the street, catch up on email while standing in a queue. When people think they’re multitasking, they’re actually just switching from one task to another very rapidly. It has been found to increase the production of the stress that results overstimulate brains and cause mental fog or scrambled thinking. However, stress management should start far before the stress start causing illnesses. In this paper, a real-time personalized stress detection system from physiological signals is introduced. It is based on Pulse rate and temperature. That could record a person’s stress levels.

Item Type:	Conference or Workshop Item (Invited Papers)
Additional Information:	4119/46070
Uncontrolled Keywords:	Human stress, physiological signals, signal processing
Subjects:	T Technology > T Technology (General) > T10.5 Communication of technical information
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Prof. Dr Othman O. Khalifa
Date Deposited:	15 Dec 2015 15:19
Last Modified:	10 Oct 2017 15:03
URI:	http://irep.iium.edu.my/id/eprint/46070

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