Journal of Northeastern University Natural Science ›› 2018, Vol. 39 ›› Issue (1): 102-107.DOI: 10.12068/j.issn.1005-3026.2018.01.021

• Mechanical Engineering • Previous Articles     Next Articles

Investigation on Driver Fatigue Testing Based on the Combination of Cervical-Lumbar EMG and EEG

WANG Lin1, 2, HUA Cheng-cheng1, JIANG Xin1, WANG Hong1   

  1. 1. School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, China; 2. Department of Mechanical Engineering, Shenyang Institute of Engineering, Shenyang 110136, China.
  • Received:2016-07-11 Revised:2016-07-11 Online:2018-01-15 Published:2018-01-31
  • Contact: WANG Hong
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Abstract: In order to effectively test driver fatigue, the surface electromyography (EMG) and electroencephalogram (EEG) were collected in driving processes, and the characteristic parameters were extracted and analyzed combined with biomechanics. The experimental results indicated that the sample entropy (SampEn) and complexity of EMG and EEG gradually decrease with the driving time expends. These characteristic parameters can be reasonably combined by using the principal component analysis. Based on the multiple regression theory, the characteristic parameters at different positions of the body are reasonably combined, and a mathematical model to evaluate fatigued driving is built. The accuracy of the model is up to 95% by the state validation.

Key words: driver fatigue, electromyography (EMG), electroencephalogram (EEG), biomechanics, characteristic parameters

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