TY - GEN
T1 - Inertial sensing for gait analysis and the scope for sensor fusion
AU - Zebin, Tahmina
AU - Scully, Patricia
AU - Ozanyan, Krikor B.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/12/31
Y1 - 2015/12/31
N2 - Conventional gait analysis systems make use of cameras and are therefore bounded to a restricted area. In this work, we focus on developing a low-cost, wearable gait analysis system based on inertial sensors, as a suitable ambulatory alternative to be used in unconstrained locations. The developed system is tailored to study lower body motion in terms of gait parameters and joint kinematics. The main focus is in using the inertial sensors data, e.g. Joint acceleration and quaternion rotation readings, for the reconstruction of visually appealing motion sequences from low-dimensional sensor input. This requires inertial sensor data to be mapped and fused with optical motion capture data. For this purpose, we propose to use a hierarchical skeleton model obtained from an optical motion capture database.
AB - Conventional gait analysis systems make use of cameras and are therefore bounded to a restricted area. In this work, we focus on developing a low-cost, wearable gait analysis system based on inertial sensors, as a suitable ambulatory alternative to be used in unconstrained locations. The developed system is tailored to study lower body motion in terms of gait parameters and joint kinematics. The main focus is in using the inertial sensors data, e.g. Joint acceleration and quaternion rotation readings, for the reconstruction of visually appealing motion sequences from low-dimensional sensor input. This requires inertial sensor data to be mapped and fused with optical motion capture data. For this purpose, we propose to use a hierarchical skeleton model obtained from an optical motion capture database.
KW - Gait Analysis
KW - Inertial Measurement Unit
KW - Motion Capture Database
KW - Sensor Fusion
KW - VICON
UR - https://www.scopus.com/pages/publications/84963548227
U2 - 10.1109/ICSENS.2015.7370262
DO - 10.1109/ICSENS.2015.7370262
M3 - Conference Publication
AN - SCOPUS:84963548227
T3 - 2015 IEEE SENSORS - Proceedings
BT - 2015 IEEE SENSORS - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th IEEE SENSORS
Y2 - 1 November 2015 through 4 November 2015
ER -