摘要
针对酒驾行为识别问题,提出了一种基于动态时间规整的识别方法,利用智能手机采集到的侧向和纵向加速信息,动态匹配酒驾的行为模式,智能判断是否处于酒驾状态.实验结果表明,该方法切实有效,且有一定的应用价值.
In view of drunk driving detection, a new algorithm based on dynamic time warping is proposed, combining the data collected by the longitudinal and lateral acceleration of smartphone, dynamically matching the drunk - driving schema and finally judging whether the car is under the state of drunk driving. The experimental results show that this method is effective and practical.
出处
《绍兴文理学院学报》
2013年第8期13-18,共6页
Journal of Shaoxing University
基金
浙江省教育厅科研项目(Y2011122724)
绍兴市科技局项目(2012B70028)
关键词
动态时间规整
酒驾识别
加速度传感器
智能手机
dynamic time warping
drunk driving detection
acceleration sensor
smartphone