自动化学报2006，Vol.32Issue(6)：938-946,9.
使用运动监视传感网络对行走过程中腿部屈伸角的跟踪
Tracking of Thigh Flexion Angle during Gait Cycles in an Ambulatory Activity Monitoring Sensor Network
摘要
Abstract
An accelerometry-based gait analysis approach via the platform of sensor network is reported in this paper. The hardware units of the sensor network are wearable accelerometers that are attached at the limbs of human body. For the specific task of gait analysis, flexion angles of the thighs during gait cycles are computed. A Kalman filter is designed to estimate the flexionextension angle, angular velocity of the thigh using the output of the wearable accelerometers. The proposed approach has been applied to four subjects and the performance is compared with videobased approach. Comparative results indicate that with the proposed Kalman filter, the sensor network is able to track the movement of the thighs during gait cycles with good accuracy and simultaneously detect major gait event of foot contact from the waveform of the angular velocity.关键词
Gait analysis/sensor networks/Kalman filter/thigh flexion angleKey words
Gait analysis/sensor networks/Kalman filter/thigh flexion angle分类
信息技术与安全科学引用本文复制引用
董梁,吴健康,包晓明,肖文栋..使用运动监视传感网络对行走过程中腿部屈伸角的跟踪[J].自动化学报,2006,32(6):938-946,9.基金项目
Supported by Science & Engincering Research Council of Singapore (052 118 0052) （052 118 0052）
