Body Inertial-Sensing Network Platform for Wearable 3D Gesture Analysis
Gesture analysis was widely used in many applications such as healthcare, robotics and human-computer interactions. This paper presented a low-cost body inertial-sensing network platform developed by us. The platform contains the base station, the BSN inertial measurement nodes and the wireless communication protocol. The sensing nodes contain one 3-axis accelerometer, one 3-axis magnetometer, and one 3-axis gyroscope. Wearable gesture analysis was achieved using this platform. Then Kalman filter was designed to get optimal gesture estimation from the BSN inertial measurement nodes. Preliminary results showed that the averaged estimating errors of the roll angle, the yaw angle and the pitch angle were 3.5° ,3.2° ,2.1° .respectively.
inertial sensors Kalman filter non video-based motion capture
Yan-Wei Guo Wei-Zhong Wang Guan-Zheng Liu Guo-Ru Zhao Bang-Yu Huang Zhan-Yong Mei Lei Wang
Shenzhen Institutes of Advanced Technology, and the Key Lab of Biomedical Informatics and Health Eng Shenzhen Institutes of Advanced Technology, and the Key Lab of Biomedical Informatics and Health Eng
国际会议
2011 International Symposium on Bioelectronics and Bioinformatics(第二届国际生物医学电子学与生物信息学学术会议 ISBB 2011)
苏州
英文
259-262
2011-11-03（万方平台首次上网日期，不代表论文的发表时间）