An ELM-based Deep SDAE Ensemble for Inter-Subject Cognitive Workload Estimation with Physiological Signals

Evaluating operator cognitive workload (CW) levels in human-machine systems based on neurophysiological signals is becoming the basis to prevent serious accidents due to abnormal state of human operators. This study proposes an inter-subject CW classifier, extreme learning machine (ELM)-based deep s...

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Veröffentlicht in:	Chinese Control Conference S. 6237 - 6242
Hauptverfasser:	Zheng, Zhanpeng, Yin, Zhong, Zhang, Jianhua
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	Technical Committee on Control Theory, Chinese Association of Automation 01.07.2020
Schlagworte:	Cognitive workload EEG Electroencephalography ensemble learning extreme learning machine Fuses Noise reduction Physiology stacked denoising autoencoder Time measurement Training
ISSN:	1934-1768
Online-Zugang:	Volltext
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