抄録
A drunken driving has been a big social issue. Combining the noninvasive pulse wave monitoring sensor and algorithm, we have devised a drunken-driver detection system. In this system, temporary changes in homeostatic mechanism such as peripheral circulation, which occurs after alcohol intake, were utilized. It has been verified that it is possible to detect the difference between a subject's normal condition and drinking condition by analyzing biomedical-signals such as a pulse wave and the second derivative of a photoplethysmogram waveform.
