Abstract—Lower limb joint angle measurement method based on Kalman filter was tested using commercially available inertial sensors in our previous study for a rehabilitation use. Although the angle measurement method was effective, measurement with the wireless sensors were affected by wireless communication environment. Wired and wireless inertial sensor systems were developed in our laboratory for solving the wireless communication problem. This paper aimed to examine the 2 developed sensors, since those were different from the previously used sensors in data communication system or resolution in measurement. The 2 developed sensors and 2 commercially available sensors were evaluated in measurements of inclination and joint angles of a rigid body model comparing to the results of an optical motion measurement system. The angles were measured by correcting the angles calculated from outputs of gyroscopes based on a Kalman filter using outputs of accelerometers. All of the sensors showed small RMS errors under the static and dynamic conditions. The results suggested that various inertial sensors could measure inclination and joint angles stably if angles are calculated by using the Kalman filtering based method. It would be possible to replace sensors with inexpensive or latest commercially available sensors.

Index Terms—Lower limb, angle, inertial sensor, kalman filter.

The authors are with the Dept. Biomed. Eng., Tohoku University, Sendai, Japan (e-mail: yuta.teruyama@bme.tohoku.ac.jp, nabet@bme.tohoku.ac.jp).

 

Cite:Yuta Teruyama and Takashi Watanabe, "A Validation Test of Measurement Method of Lower Limb Angles Based on Kalman Filter on Different Type of Inertial Sensors," International Journal of Bioscience, Biochemistry and Bioinformatics vol. 3, no. 3, pp. 211-215, 2013.