Murata Kohji, Fujita Etsunori, Kojima Shigeyuki, Maeda Shinitirou, Ogura Yumi, Kamei Tsutomu, Tsuji Toshio, Kaneko Shigehiko, Yoshizumi Masao, Suzuki Nobutaka
Department of Molecular Reproductive Biology, Kanazawa University, Graduate School of Medical Science, Ishikawa, Japan.
IEEE Trans Inf Technol Biomed. 2011 Jan;15(1):19-25. doi: 10.1109/TITB.2010.2091646. Epub 2010 Nov 11.
Systems capable of monitoring the biological condition of a driver and issuing warnings during instances of drowsiness have recently been studied. Moreover, many researchers have reported that biological signals, such as brain waves, pulsation waves, and heart rate, are different between people who have and have not consumed alcohol. Currently, we are developing a noninvasive system to detect individuals driving under the influence of alcohol by measuring biological signals. We used the frequency time series analysis to attempt to distinguish between normal and intoxicated states of a person as the basis of the sensing system.
最近对能够监测驾驶员身体状况并在困倦时发出警告的系统进行了研究。此外，许多研究人员报告称，饮酒者和未饮酒者之间的脑电波、脉搏波和心率等生物信号存在差异。目前，我们正在开发一种通过测量生物信号来检测酒后驾车者的非侵入性系统。我们使用频率时间序列分析来尝试区分人的正常状态和醉酒状态，以此作为传感系统的基础。
