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Efficient Human Stress Detection System Based on Frontal Alpha Asymmetry

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Neural Information Processing (ICONIP 2017)

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Abstract

EEG signals reflect the inner emotional state of a person and regarding its wealth in temporal resolution, it can be used profitably to measure mental stress. Emotional states recognition is a growing research field inasmuch to its importance in Human-machine applications in all domains, in particular psychology and psychiatry. The main goal of this study is to provide a simple method for stress detection based on Frontal Alpha Asymmetry for trials selection and time, time-frequency domain features. This approach was tested on prevalent DEAP database, and provided us with two subdatasets to be processed and classified thereafter. From the variety of features produced in the literature we chose to test Hjorth parameters and Band Power as a time-frequency feature. To enhance the classification performance, we tested the SVM classifier, K-NN and Fuzzy K-NN.

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Acknowledgments

The research leading to these results has received funding from the Ministry of Higher Education and Scientific Research of Tunisia under the grant agreement number LR11ES48.

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Authors and Affiliations

  1. REGIM: REsearch Groups in Intelligent Machines, National School of Engineers, University of Sfax, BP 1173, 3038, Sfax, Tunisia

    Asma Baghdadi, Yassine Aribi & Adel M. Alimi

Authors
  1. Asma Baghdadi
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  2. Yassine Aribi
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  3. Adel M. Alimi
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Corresponding author

Correspondence to Asma Baghdadi .

Editor information

Editors and Affiliations

  1. Guangdong University of Technology, Guangzhou, China

    Derong Liu

  2. Guangdong University of Technology, Guangzhou, China

    Shengli Xie

  3. South China University of Technology, Guangzhou, China

    Yuanqing Li

  4. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Dongbin Zhao

  5. King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

    El-Sayed M. El-Alfy

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Baghdadi, A., Aribi, Y., Alimi, A.M. (2017). Efficient Human Stress Detection System Based on Frontal Alpha Asymmetry. In: Liu, D., Xie, S., Li, Y., Zhao, D., El-Alfy, ES. (eds) Neural Information Processing. ICONIP 2017. Lecture Notes in Computer Science(), vol 10637. Springer, Cham. https://doi.org/10.1007/978-3-319-70093-9_91

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  • DOI: https://doi.org/10.1007/978-3-319-70093-9_91

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