1P1-H02 Machine Learning based Estimation of Driving Posture using Pressure Distribution Sensors
作者: NITTA HirokiDING MingSUZUKI Tatsuya
作者单位: 1Nagoya University
刊名: The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec), 2015, Vol.2015 , pp._1P1-H02_1-_1P1-H02_3
来源数据库: J-STAGE Journals
DOI: 10.1299/jsmermd.2015._1P1-H02_1
英文摘要: Driving assistant is very effective to reduce the traffic accident by warning driver and supporting his operation. In order to give accurate alarm and support, driver's status has to be measured correctly and speedily. In this research, we proposed a novel method to estimate the driving posture only from the pressure distribution between driver and car seat using a soft sensor sheet. Many pressure distributions for several driving postures were measured to create classifier using supervised machine learning method. The effectiveness of the generated classifier was verified using testing data and continued driving motion data.
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