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Evaluation of Operator’s Workload Based on EEG Signal

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Man–Machine–Environment System Engineering (MMESE 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 456))

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Abstract

The degree of special vehicle’s automation and intelligent is getting higher and higher. The efficient integration of operator and vehicle will become the fundamental guarantee of full efficiency. The operator’s ability is the core element of the special vehicle capacity, but the operator’s ability is limited. The subjective evaluation and objective physiological evaluation are combined in this paper. The operator gives the degree of mental fatigue through the narration after completing the task; at the same time, the operator’s EEG signal is got. The mapping relation of EEG signal and mental fatigue degree is set up, and then the evaluation mathematical model of operator’s workload based on EEG is built. This evaluation model can provide technical support for the new style special vehicles’ design and development.

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References

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Compliance with Ethical Standards

The study was approved by the Logistics Department for Civilian Ethics Committee of the Beijing Special Vehicle Institute.

All subjects who participated in the experiment were provided with and signed an informed consent form.

All relevant ethical safeguards have been met with regard to subject protection.

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Correspondence to Haiyan Niu .

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Niu, H., Xiao, S., Zhou, Q., He, Y. (2018). Evaluation of Operator’s Workload Based on EEG Signal. In: Long, S., Dhillon, B. (eds) Man–Machine–Environment System Engineering. MMESE 2017. Lecture Notes in Electrical Engineering, vol 456. Springer, Singapore. https://doi.org/10.1007/978-981-10-6232-2_33

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  • DOI: https://doi.org/10.1007/978-981-10-6232-2_33

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6231-5

  • Online ISBN: 978-981-10-6232-2

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