Detection of stress for visually impaired people using EEG signals based on time-frequency domain analysis

Samia Sultana, Md Anisur Rahman, Mohammad Zavid Parvez

Research output: Book chapter/Published conference paperConference paperpeer-review

Abstract

Stress refers to body’s physical, emotional and psychological reaction to any environmental change needing adjustment with major impact on human psychology. Stress is specially difficult to manage for visually impaired people (VIP) as they can become easily stressed in unknown situations. Electroencephalogram (EEG) signals can be used to detect stress as it basically represents the ongoing electrical signal changes in human brain. Literature shows that the stress detection techniques are mostly based on either time or frequency domain analysis. However, using either time or frequency domain analysis may not be sufficient to provide appropriate outcome for stress detection. Therefore, in this paper a method is proposed using empirical mode decomposition (EMD) and short-term Fourier transform (STFT) are used to extract features considering spatio-temporal information from EEG signals. In the EMD, the signal is first decomposed into intrinsic mode functions (IMFs) representing a finite number of signals while maintaining the time domain and STFT is used to convert time domain to time-frequency domain. Support vector machine (SVM) is applied to classify the stress of VIP in unfamiliar indoor environments. The performance of the proposed method is compared with a state-of-the-art technique for stress detection. The experimental results demonstrate the superiority of the proposed technique over the existing technique.
Original languageEnglish
Title of host publicationThe 19th International Conference on Machine Learning and Cybernetics (ICMLC) 2020
Place of Publication University of Adelaide Adelaide, Australia
PublisherIEEE Xplore
Publication statusAccepted/In press - 19 May 2020
Event19th International Conference on Machine Learning and Cybernetics: ICMLC 2020 - University of Adelaide, Adelaide, Australia
Duration: 04 Dec 202006 Dec 2020
http://www.icmlc.com/
http://www.icmlc.com/cfp.html (call for papers)

Conference

Conference19th International Conference on Machine Learning and Cybernetics
CountryAustralia
CityAdelaide
Period04/12/2006/12/20
OtherWe are sorry to announce that ICMLC and ICWAPR 2020 are now officially postponed to 4th - 6th, December, 2020 due to the current Covid-19 health emergency. The conferences will be held at the same venue, University of Adelaide.
The submission date is also postponed to 10th September, 2020.
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