頸部冷却刺激に応じた鼻部皮膚温度変動の生体モデルに関する検討

Abstract

We have examined methods to effectively restrain driver's drowsiness by controlling their nasal skin temperature. In resent years, the various kind of techniques for detecting the drowsiness recently has been proposed. In reality, however, these techniques have the problem which influences driver's operation because they already has suitable sleepiness. In our previous study, not almost all drivers became drowsy by promoting sympathetic nerve activity with the ambient biofeedback system. However two drivers became drowsy. This suggests the possibility that the control is not working well as for their physiological responses. This paper aims to examine biological models depending on several physiological responses. We applied the voltage with the regularity to a thermoelectric element attached to driver's neck and measured their nasal skin temperatures. In addition, we made models for driver's physiological responses by taking advantage of the technologies for system identification such as box-jenkins model, auto-regressive exogenous model, state-space model, output-error model and recursive exogenous auto-regressive moving average model. We evaluated the validity of these models by using the fitting rates and board diagram, with the result that model suitable for each physiological response was box-jenkins under the condition of 15 dimensions and a maximum of 30 seconds. It can be concluded that biological model suitable for each physiological response can be made.