A study on estimating knee joint angle using motion sensors under conditions of magnetic field variation-Reference-Cited by-同舟云学术

A study on estimating knee joint angle using motion sensors under conditions of magnetic field variation

Published:2019 Issue:873 Volume:85 Page:19-00061-19-00061
ISSN:2187-9761
Container-title:Transactions of the JSME (in Japanese)
language:en
Short-container-title:

Author:

SAITO Ayuko¹,NARA Yuto¹,MIYAWAKI Kazuto¹

Affiliation:

1. Department of Mechanical Engineering and Robotics, National Institute of Technology, Akita College

Publisher

Japan Society of Mechanical Engineers

Link

https://www.jstage.jst.go.jp/article/transjsme/85/873/85_19-00061/_pdf

Reference14 articles.

1. Ae, M., Tang, H. and Yokoi, T., Estimation of inertia properties of the body segments in Japanese athletes, Biomechanism, Vol.11 (1992), pp. 23–33 (in Japanese).

2. Hirose, K., Doki, H. and Kondo, A., Studies on orientation measurement in sports using inertial and magnetic field sensors, Journal of Japan Society of Sports Industry, Vol.22, No.2 (2012), pp. 255-262 (in Japanese).

3. Hirose, K. and Kondo, A., Special issues No.3: Measurement technique for ergonomics, The Japanese journal of ergonomics, Vol.50, No.4 (2014), pp. 182-190 (in Japanese).

4. Jurman, D., Jankovec, M., Kamnik, R. and Topič, M., Calibration and data fusion solution for the miniature attitude and heading reference system, Sensors and Actuators, A: Physical, Vol.138, No.2 (2007), pp.411–420.

5. Kondo, A., Doki, H. and Hirose, K., A Study on calibration method of magnetic field sensor for body motion measurement using inertial sensor, Proceedings of the Sports Engineering and Human Dynamics (2013), DOI: 10.1299/jsmeshd.2013._212-1_. (in Japanese).

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Knee joint angle estimation by sequential correction of gyroscope bias;2022 International Symposium on Micro-NanoMehatronics and Human Science (MHS);2022-11-27

2. Pose estimation by extended Kalman filter using noise covariance matrices based on sensor output;ROBOMECH Journal;2020-10-19