摘要
提出一种用于识别人体运动行为模式的算法,该算法仅需从智能手机加速传感器获取信号数据,对信号进行频域滤波,采用改进的DBSCAN算法进行聚类和识别出运动模式。实验结果表明该算法具有较高的准确率和实用性。
This paper proposes a motion pattern recognition algorithm which only uses acceleration transducer on phone. The algorithm executes frequency domain filtering of acceleration transducer signal collected and then adopts improved DBSCAN algorithm when clustering. The experiment results show that the algorithm achieves higher accuracy and availability.
出处
《计算机工程与应用》
CSCD
北大核心
2015年第6期235-239,共5页
Computer Engineering and Applications
关键词
手机加速传感器
运动模式
滤波
聚类
acceleration transducer
movement pattern
filtering
clustering