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STRESS DETECTION USING MULTIPLE BIO-SIGNALS
By: Khalifa et al. (2839 reads)
Rating: (1.00/10)

Abstract: Organizations are becoming more and more dependent on computers in their day to day activities. Employees spend hours daily interacting with various software that is needed to finish their work. This human computer interaction (HCI) may induce stress for various reasons such as bad user interface design, slow responses from the software, and much more. Stress will affect the employee’s total performance and productivity, which will have a negative impact on their teams and organization. Our purpose is to have an integrated mechanism that will detect stress during HCI. The tool will be a starting point for providing a solution that aims to reduce stress in the HCI aspects at organizations. This study investigates the usage of two bio signals (EEG, ECG,) for the detection of stress during HCI.

Keywords: EEG Biometric, BioSignals?, Stress, Multi modal, Human-computer interaction, BrainInformatics?

ACM Classification Keywords: Experimentation

Link:

STRESS DETECTION USING MULTIPLE BIO-SIGNALS

Wael Khalifa, Kenneth Revett, Mohamed I. Roushdy, Abdel-Badeeh? M. Salem

http://www.foibg.com/ijitk/ijitk-vol08/ijitk08-03-p08.pdf

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