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CogniMeter: EEG-Based Brain States Monitoring

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Transactions on Computational Science XXVIII

Part of the book series: Lecture Notes in Computer Science ((TCOMPUTATSCIE,volume 9590))

Abstract

Electroencephalogram (EEG) techniques are traditionally used in the medical field. Recent research work focuses on applying these techniques to daily life with wireless and relatively low-price EEG devices available in the market. As a result, applications such as neurofeedback training, neuromarketing, emotion, stress, mental workload recognition, etc. using EEG techniques on healthy adults have been developed. Since the EEG measures and records electrical activity in the brain, it is possible for it to reflect a person’s brain states. In this paper, we describe a novel brain computer interface called CogniMeter integrated with proposed real-time emotion, mental workload, and stress recognition algorithms. With this system, we can assess human emotions, mental workload, and stress in real time. This work can be applied as a human study tool in many fields. For example, the wellbeing of users within a system or workers in industry can be monitored to improve their protection from overly stressful workload conditions. In research, brain state monitoring can be applied in simulation scenarios during human factor study experiments. In marketing, a person’s emotional response toward products or advertisements can be studied using EEG-based brain states monitoring.

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Acknowledgments

The work is supported by Fraunhofer IDM@NTU, which is funded by the National Research Foundation (NRF) and managed through the multi-agency Interactive & Digital Media Programme Office (IDMPO).

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Authors and Affiliations

  1. Fraunhofer IDM@NTU, Nanyang Technological University, Singapore, Singapore

    Xiyuan Hou, Yisi Liu, Olga Sourina & Wolfgang Mueller-Wittig

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Wei Lun Lim, Zirui Lan & Lipo Wang

Authors
  1. Xiyuan Hou
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  2. Yisi Liu
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  3. Wei Lun Lim
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  4. Zirui Lan
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  5. Olga Sourina
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  6. Wolfgang Mueller-Wittig
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  7. Lipo Wang
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Corresponding author

Correspondence to Xiyuan Hou .

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Editors and Affiliations

  1. University of Calgary , Calgary, Alberta, Canada

    Marina L. Gavrilova

  2. Sardina Systems , Tallinn, Estonia

    C.J. Kenneth Tan

  3. Nanyang Technological University , Singapore, Singapore

    Alexei Sourin

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Hou, X. et al. (2016). CogniMeter: EEG-Based Brain States Monitoring. In: Gavrilova, M., Tan, C., Sourin, A. (eds) Transactions on Computational Science XXVIII. Lecture Notes in Computer Science(), vol 9590. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-53090-0_6

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  • DOI: https://doi.org/10.1007/978-3-662-53090-0_6

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  • Print ISBN: 978-3-662-53089-4

  • Online ISBN: 978-3-662-53090-0

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