Accurate Estimation of Gait Altitude Using One Wearable IMU Sensor | |
Duan, Hongjun2; Liu LQ(刘连庆)1; Zhao YL(赵玉良)2; Liang, Jiaqi2; Li, Jinli2; Sun, Hui2; Sha, Xiaopeng2 | |
2018 | |
会议日期 | December 5-7, 2018 |
会议地点 | Shenzhen, China |
关键词 | Wearable IMU Sensor Altitude Estimation Gait Phase Detection Complementary Filter |
页码 | 64-67 |
英文摘要 | We present a novel method of estimating gait altitude by using the acceleration and angular velocity data obtained from a single Inertial Measurement Unit (IMU) sensor. High-precision foot tracking and vertical positioning were achieved by using this method. The inherent drifts of IMU sensors, which may cause cumulative errors for position estimation, were reduced by using our algorithm. Firstly, a multitude-threshold detection method was used to determine the stance phase and swing phase in gait movement. Secondly, a zero-velocity update was performed in the stance phase to minimize the drift error when the single foot is stationary. Finally, in the swing phase, the motion direction was represented by quaternion, and the gait altitude was estimated using a method that combines a Complementary Filter (CF) algorithm and a Target-error Compensation algorithm. Experimental results show that this method can effectively reduce inherent drifts of wearable IMU sensors and ensure accurate estimation of gait altitude. |
产权排序 | 2 |
会议录 | Proceedings of the 1st IEEE International Conference on Micro/Nano Sensors for AI, Healthcare and Robotics |
会议录出版者 | IEEE |
会议录出版地 | New York |
语种 | 英语 |
ISBN号 | 978-1-5386-9408-4 |
WOS记录号 | WOS:000470204100014 |
内容类型 | 会议论文 |
源URL | [http://ir.sia.cn/handle/173321/24698] |
专题 | 沈阳自动化研究所_机器人学研究室 |
通讯作者 | Duan, Hongjun; Zhao YL(赵玉良) |
作者单位 | 1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, China 2.School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China |
推荐引用方式 GB/T 7714 | Duan, Hongjun,Liu LQ,Zhao YL,et al. Accurate Estimation of Gait Altitude Using One Wearable IMU Sensor[C]. 见:. Shenzhen, China. December 5-7, 2018. |
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