TY - GEN
T1 - Time-varying system identification for understanding the control of human knee impedance
AU - Ludvig, Daniel
AU - Pfeifer, Serge
AU - Hu, Xiao
AU - Perreault, Eric J.
PY - 2012/10/9
Y1 - 2012/10/9
N2 - There are many challenges to designing a prosthetic limb capable of restoring natural movements. One of these is that it should replicate the complex, time varying behavior of the original limb so as to restore natural interactions with the environment. Unfortunately, there are many experimental and computational challenges associated with obtaining accurate estimates of limb impedance during movement. Here we present a time-varying system identification algorithm suitable for this purpose, and demonstrate how it can be used to estimate the impedance of the human knee during time-varying conditions relevant to locomotion.
AB - There are many challenges to designing a prosthetic limb capable of restoring natural movements. One of these is that it should replicate the complex, time varying behavior of the original limb so as to restore natural interactions with the environment. Unfortunately, there are many experimental and computational challenges associated with obtaining accurate estimates of limb impedance during movement. Here we present a time-varying system identification algorithm suitable for this purpose, and demonstrate how it can be used to estimate the impedance of the human knee during time-varying conditions relevant to locomotion.
UR - http://www.scopus.com/inward/record.url?scp=84867054025&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84867054025&partnerID=8YFLogxK
U2 - 10.3182/20120711-3-BE-2027.00410
DO - 10.3182/20120711-3-BE-2027.00410
M3 - Conference contribution
AN - SCOPUS:84867054025
SN - 9783902823069
T3 - IFAC Proceedings Volumes (IFAC-PapersOnline)
SP - 1306
EP - 1310
BT - SYSID 2012 - 16th IFAC Symposium on System Identification, Final Program
T2 - Universite Libre de Bruxelles
Y2 - 11 July 2012 through 13 July 2012
ER -