Research Article
Lower Limb Posture Capture Using Quaternion Kalman Filter
@INPROCEEDINGS{10.1007/978-3-031-18123-8_55, author={Mingran Li and Yuan Xu and Yanli Gao and Jidong Feng and Guangchao Jin}, title={Lower Limb Posture Capture Using Quaternion Kalman Filter}, proceedings={Multimedia Technology and Enhanced Learning. 4th EAI International Conference, ICMTEL 2022, Virtual Event, April 15-16, 2022, Proceedings}, proceedings_a={ICMTEL}, year={2022}, month={10}, keywords={Quaternion Kalman filter Position calculation Wearable inertial sensor}, doi={10.1007/978-3-031-18123-8_55} }- Mingran Li
Yuan Xu
Yanli Gao
Jidong Feng
Guangchao Jin
Year: 2022
Lower Limb Posture Capture Using Quaternion Kalman Filter
ICMTEL
Springer
DOI: 10.1007/978-3-031-18123-8_55
Abstract
Due to the accuracy requirements of the human body lower limb posture capture system, this paper proposes a quaternion Kalman filter-based human body lower limb posture capture method. Firstly, we employ the wearable inertial sensors to collect posture data of the lower limbs. Then, for the purpose of weakening the interference of the noise to the posture data of the sensors, the quaternion Kalman filter is designed. With the output of the quaternion Kalman filter, the lower limb joints’ spatial position coordinates can be computed. The experimental results show that the proposed quaternion Kalman filter-based scheme can effectively reduce the attitude error, which make the attitude expression more intuitive and accurate.
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