TY - GEN
T1 - Posture reconstruction method for mapping joint angles of motion capture experiments to simulation models
AU - Gragg, Jared
AU - Yang, Jingzhou
AU - Boothby, Robyn
PY - 2011
Y1 - 2011
N2 - Motion capture experiments are often used in coordination with digital human modeling to offer insight into the simulation of real-world tasks or as a means of validating existing simulations. However, there is a gap between the motion capture experiments and the simulation models, because the motion capture system is based on Cartesian space while the simulation models are based on joint space. This paper bridges the gap and presents a methodology that enables one to map joint angles of motion capture experiments to simulation models in order to obtain the same posture. The posture reconstruction method is an optimization-based approach where the cost function is a constant and constraints include (1) the distances between simulation model joint centers and the corresponding experimental subject joint centers are equal to zeros; (2) all joint angles are within joint limits. Examples are used to demonstrate the effectiveness of the proposed method.
AB - Motion capture experiments are often used in coordination with digital human modeling to offer insight into the simulation of real-world tasks or as a means of validating existing simulations. However, there is a gap between the motion capture experiments and the simulation models, because the motion capture system is based on Cartesian space while the simulation models are based on joint space. This paper bridges the gap and presents a methodology that enables one to map joint angles of motion capture experiments to simulation models in order to obtain the same posture. The posture reconstruction method is an optimization-based approach where the cost function is a constant and constraints include (1) the distances between simulation model joint centers and the corresponding experimental subject joint centers are equal to zeros; (2) all joint angles are within joint limits. Examples are used to demonstrate the effectiveness of the proposed method.
KW - digital human modeling
KW - motion capture
KW - posture reconstruction
UR - http://www.scopus.com/inward/record.url?scp=79960322469&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-21799-9_8
DO - 10.1007/978-3-642-21799-9_8
M3 - Conference contribution
AN - SCOPUS:79960322469
SN - 9783642217982
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 69
EP - 78
BT - Digital Human Modeling - Third International Conference, ICDHM 2011, Held as Part of HCI International 2011, Proceedings
T2 - 3rd International Conference on Digital Human Modeling, ICDHM 2011, Held as Part of HCI International 2011
Y2 - 9 July 2011 through 14 July 2011
ER -