PARAFACによるレーンチェンジ時の脳波分析を用いた認知・判断状態の検出(機械力学,計測,自動制御)

抄録

Vehicle technology of the better interaction between human and machine has been called human-electronics in Japan. It is necessary to obtain the better relationship between human and vehicle. A driver's information, which can be obtained from steering operation, pedal operation, camera images and biological information, particularly is important to find a method to determine a driver's operational intention. In terms of using this biological information, one area of focus is on using brain activity. Recently, some of the research has been reported that investigate the brain activity of the driver. In the multiple electrode analysis of the electroencephalograph (EEG), the frequency-spatial domain and the time-spatial domain have been used. However, these conventional methods can only use two-dimensional data. As a multi-channel EEG analysis using multi dimensional data, parallel factor analysis (PARAFAC) method is based on the report. In this paper, we described that the driver's EEG during lane change was decomposed by PARAFAC and we investigated the factor of recognize and judgment from that decomposition result. Consequently, Common to the all subjects has 2 factors which were in the 5-8Hz and 8-13Hz. Those factors considered that they were changed by the driver's mental state, during recognition for alpha wave and during judgment for theta wave.