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.
|Title of host publication||The 19th International Conference on Machine Learning and Cybernetics (ICMLC) 2020|
|Place of Publication||University of Adelaide Adelaide, Australia|
|Publication status||Accepted/In press - 2021|
|Event||19th International Conference on Machine Learning and Cybernetics: ICMLC 2020 - University of Adelaide, Adelaide, Australia|
Duration: 04 Dec 2020 → 06 Dec 2020
http://www.icmlc.com/cfp.html (call for papers)
|Conference||19th International Conference on Machine Learning and Cybernetics|
|Period||04/12/20 → 06/12/20|
|Other||We 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.