Improvement of an Arm Exoskeleton by Data Fusion with an Inertial Measurement Unit
Jie Chen, Canjun Yang, Jens Hofschulte
Available Online April 2013.
- 10.2991/3ca-13.2013.108How to use a DOI?
- ata fusion; exoskeleton; inertial sensor; Kalman filter
his paper aimed to improve the performance of a 7-DOFs arm exoskeleton in position measurement, so that it can be used for applications that require high-accuracy tracking ability, such as robot navigation. A data fusion method with an inertial measurement unit(IMU) using Kalman Filter is developed. With proper setup of the system the result of experiments show a significant improvement in position accuracy of the exoskeleton.
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Jie Chen AU - Canjun Yang AU - Jens Hofschulte PY - 2013/04 DA - 2013/04 TI - Improvement of an Arm Exoskeleton by Data Fusion with an Inertial Measurement Unit BT - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation PB - Atlantis Press SP - 445 EP - 448 SN - 1951-6851 UR - https://doi.org/10.2991/3ca-13.2013.108 DO - 10.2991/3ca-13.2013.108 ID - Chen2013/04 ER -