TY - GEN
T1 - Gait mode recognition and control for a portable-powered ankle-foot orthosis
AU - David Li, Yifan
AU - Hsiao-Wecksler, Elizabeth T.
PY - 2013
Y1 - 2013
N2 - Ankle foot orthoses (AFOs) are widely used as assistive/rehabilitation devices to correct the gait of people with lower leg neuromuscular dysfunction and muscle weakness. We have developed a portable powered ankle-foot orthosis (PPAFO), which uses a pneumatic bi-directional rotary actuator powered by compressed CO2 to provide untethered dorsiflexor and plantarflexor assistance at the ankle joint. Since portability is a key to the success of the PPAFO as an assist device, it is critical to recognize and control for gait modes (i.e. level walking, stair ascent/descent). While manual mode switching is implemented in most powered orthotic/prosthetic device control algorithms, we propose an automatic gait mode recognition scheme by tracking the 3D position of the PPAFO from an inertial measurement unit (IMU). The control scheme was designed to match the torque profile of physiological gait data during different gait modes. Experimental results indicate that, with an optimized threshold, the controller was able to identify the position, orientation and gait mode in real time, and properly control the actuation. It was also illustrated that during stair descent, a mode-specific actuation control scheme could better restore gait kinematic and kinetic patterns, compared to using the level ground controller.
AB - Ankle foot orthoses (AFOs) are widely used as assistive/rehabilitation devices to correct the gait of people with lower leg neuromuscular dysfunction and muscle weakness. We have developed a portable powered ankle-foot orthosis (PPAFO), which uses a pneumatic bi-directional rotary actuator powered by compressed CO2 to provide untethered dorsiflexor and plantarflexor assistance at the ankle joint. Since portability is a key to the success of the PPAFO as an assist device, it is critical to recognize and control for gait modes (i.e. level walking, stair ascent/descent). While manual mode switching is implemented in most powered orthotic/prosthetic device control algorithms, we propose an automatic gait mode recognition scheme by tracking the 3D position of the PPAFO from an inertial measurement unit (IMU). The control scheme was designed to match the torque profile of physiological gait data during different gait modes. Experimental results indicate that, with an optimized threshold, the controller was able to identify the position, orientation and gait mode in real time, and properly control the actuation. It was also illustrated that during stair descent, a mode-specific actuation control scheme could better restore gait kinematic and kinetic patterns, compared to using the level ground controller.
KW - exoskeleton
KW - gait mode recognition
KW - inertial sensor
KW - powered orthosis
UR - http://www.scopus.com/inward/record.url?scp=84891082489&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84891082489&partnerID=8YFLogxK
U2 - 10.1109/ICORR.2013.6650373
DO - 10.1109/ICORR.2013.6650373
M3 - Conference contribution
C2 - 24187192
AN - SCOPUS:84891082489
SN - 9781467360241
T3 - IEEE International Conference on Rehabilitation Robotics
BT - 2013 IEEE 13th International Conference on Rehabilitation Robotics, ICORR 2013
T2 - 2013 IEEE 13th International Conference on Rehabilitation Robotics, ICORR 2013
Y2 - 24 June 2013 through 26 June 2013
ER -