TY - GEN
T1 - Joint angle estimation in rehabilitation with inertial sensors and its integration with Kinect
AU - Bo, Antonio Padilha Lanari
AU - Hayashibe, Mitsuhiro
AU - Poignet, Philippe
PY - 2011
Y1 - 2011
N2 - In this paper, we explore the combined use of inertial sensors and the Kinect for applications on rehabilitation robotics and assistive devices. In view of the deficiencies of each individual system, a new method based on Kalman filtering was developed in order to perform online calibration of sensor errors automatically whenever measurements from Kinect are available. The method was evaluated on experiments involving healthy subjects performing multiple DOF tasks.
AB - In this paper, we explore the combined use of inertial sensors and the Kinect for applications on rehabilitation robotics and assistive devices. In view of the deficiencies of each individual system, a new method based on Kalman filtering was developed in order to perform online calibration of sensor errors automatically whenever measurements from Kinect are available. The method was evaluated on experiments involving healthy subjects performing multiple DOF tasks.
UR - http://www.scopus.com/inward/record.url?scp=84862609620&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84862609620&partnerID=8YFLogxK
U2 - 10.1109/IEMBS.2011.6090940
DO - 10.1109/IEMBS.2011.6090940
M3 - Conference contribution
C2 - 22255089
AN - SCOPUS:84862609620
SN - 9781424441211
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 3479
EP - 3483
BT - 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
T2 - 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Y2 - 30 August 2011 through 3 September 2011
ER -