Application of Sensor Information Integration in Human Motion Capture and Recognition

摘要：

　　In this paper, the acceleration sensor and angular velocity sensor were combined to collect the data during the human body movement. Features were selected through time-domain analysis. Using the Bayesian classifier, the human body current posture is classified. Compared with human motion gesture recognition method based on the computer vision and image processing technology, inertial-motion-sensor-based human motion gesture recognition and monitoring technology has its advantages including privacy protection and easy wearability.

关键词： Posture recognition The sensor The time domain analysis Bayes classifier

作者: Liu Zhuo-fu Liu Xue Luo Zhong-ming Hong Zhao Su Ting

作者单位: The higher educational key laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province, Harbin University of Science and Technology, Harbin, China, 150080

会议类型: 国际会议

会议名称: 2015 Fifth International Conference on Instrumentation and Measurement,Computer,Communication and Control (IMCCC2015)(第五届仪器测量、计算机通信与控制国际会议)

会议地点: 秦皇岛

会议语种:英文

页码: 1807-1811

在线出版日期: 2015-09-18（万方平台首次上网日期，不代表论文的发表时间）