A pervasive stress monitoring system based on biological signals

Guoqing Zhao, Bin Hu*, Xiaowei Li, Chengsheng Mao, Rui Huang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

In this research, we focus on detecting stress based on electroencephalogram (EEG) method. An experiment has been conducted with 59 subjects, the results show that three EEG features from Fpz point, LZ-complexity, alpha relative power and the ratio of alpha power to beta power, are effective respectively in the stress detection using K-Nearest-Neighbor classifier, however Naive Bayesian classifier is not suitable for the stress prediction based EEG data. Meanwhile, we introduced the stress index for indicating stress level. Based on these work, we build a pervasive stress detection system which enables people to monitor their stress level opportunely. The proposed system provides services both for ordinary users in 'User Panel' and psychiatrists in 'Doctor Panel'. The 'User Panel' integrates biological signals acquisition which collects user's EEG data for stress classification, self-assessment questionnaire as reference to stress index, history record for logging user's state, and chatting with doctor, aiming to keep in touch with psychiatrists if necessary. In 'Doctor Panel', psychiatrists can view all users' historical status and chat with them.

Original languageEnglish (US)
Title of host publicationProceedings - 2013 9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013
PublisherIEEE Computer Society
Pages530-534
Number of pages5
ISBN (Print)9780769551203
DOIs
StatePublished - 2013
Externally publishedYes
Event9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013 - Beijing, China
Duration: Oct 16 2013Oct 18 2013

Publication series

NameProceedings - 2013 9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013

Conference

Conference9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013
CountryChina
CityBeijing
Period10/16/1310/18/13

Keywords

  • EEG
  • mental health
  • online monitor
  • stress

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Signal Processing

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  • Cite this

    Zhao, G., Hu, B., Li, X., Mao, C., & Huang, R. (2013). A pervasive stress monitoring system based on biological signals. In Proceedings - 2013 9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013 (pp. 530-534). [6846693] (Proceedings - 2013 9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013). IEEE Computer Society. https://doi.org/10.1109/IIH-MSP.2013.137