TY - GEN
T1 - Using mini minimum jerk model for human activity classification in home-based monitoring
AU - Ghobadi, Mostafa
AU - Sosnoff, Jacob
AU - Kesavadas, Thenkurussi
AU - Esfahani, Ehsan T.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/9/28
Y1 - 2015/9/28
N2 - This paper proposes a method for human activity classification in home based monitoring. The proposed approach is based on minimum jerk (MinJerk), a primary model for smooth path planning employed by human motor control in upper-extremity motion. Based on new evidences that show common control strategies in lower and upper extremity, MinJerk is adapted in our study to estimate the foot motion with fifth order polynomial functions. Experimental data are recorded during walking and going up and down the stairs using a single inertial measurement unit. Features of interest in this study are the optimized curve fitting coefficients. Using a structured support vector machine with radial basis function, an overall accuracy of 98.6% is achieved for activity classification. The proposed method is also capable of detecting the transitions between the movements with accuracy of 99.96%.
AB - This paper proposes a method for human activity classification in home based monitoring. The proposed approach is based on minimum jerk (MinJerk), a primary model for smooth path planning employed by human motor control in upper-extremity motion. Based on new evidences that show common control strategies in lower and upper extremity, MinJerk is adapted in our study to estimate the foot motion with fifth order polynomial functions. Experimental data are recorded during walking and going up and down the stairs using a single inertial measurement unit. Features of interest in this study are the optimized curve fitting coefficients. Using a structured support vector machine with radial basis function, an overall accuracy of 98.6% is achieved for activity classification. The proposed method is also capable of detecting the transitions between the movements with accuracy of 99.96%.
KW - Home-Based Monitoring
KW - Human Activity Classification
KW - Minimum Jerk
KW - Motor Control Model
UR - http://www.scopus.com/inward/record.url?scp=84946100372&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84946100372&partnerID=8YFLogxK
U2 - 10.1109/ICORR.2015.7281319
DO - 10.1109/ICORR.2015.7281319
M3 - Conference contribution
AN - SCOPUS:84946100372
T3 - IEEE International Conference on Rehabilitation Robotics
SP - 909
EP - 912
BT - Proceedings of the IEEE/RAS-EMBS International Conference on Rehabilitation Robotics
A2 - Yu, Haoyong
A2 - Braun, David
A2 - Campolo, Domenico
PB - IEEE Computer Society
T2 - 14th IEEE/RAS-EMBS International Conference on Rehabilitation Robotics, ICORR 2015
Y2 - 11 August 2015 through 14 August 2015
ER -