TY - JOUR
T1 - Real-time optimal reach-posture prediction in a new interactive virtual environment
AU - Yang, Jingzhou
AU - Marler, R. Timothy
AU - Beck, Steven
AU - Abdel-Malek, Karim
AU - Kim, Joo
PY - 2006/3
Y1 - 2006/3
N2 - Human posture prediction is a key factor for the design and evaluation of workspaces, in a virtual environment using virtual humans. This work presents a new interface and virtual environment for the direct human optimized posture prediction (D-HOPP) approach to predicting realistic reach postures of digital humans, where reach postures entail the use of the torso, arms, and neck. D-HOPP is based on the contention where depending on what type of task is being completed, and human posture is governed by different human performance measures. A human performance measure is a physics-based metric, such as energy or discomfort, and serves as an objective function in an optimization formulation. The problem is formulated as a single-objective optimization (SOO) problem with a single performance measure and as multi-objective-optimization (MOO) problem with multiple combined performance measures. We use joint displacement, change in potential energy, and musculoskeletal discomfort as performance measures. D-HOPP is equipped with an extensive yet intuitive user-interface, and the results are presented in an interactive virtual environment.
AB - Human posture prediction is a key factor for the design and evaluation of workspaces, in a virtual environment using virtual humans. This work presents a new interface and virtual environment for the direct human optimized posture prediction (D-HOPP) approach to predicting realistic reach postures of digital humans, where reach postures entail the use of the torso, arms, and neck. D-HOPP is based on the contention where depending on what type of task is being completed, and human posture is governed by different human performance measures. A human performance measure is a physics-based metric, such as energy or discomfort, and serves as an objective function in an optimization formulation. The problem is formulated as a single-objective optimization (SOO) problem with a single performance measure and as multi-objective-optimization (MOO) problem with multiple combined performance measures. We use joint displacement, change in potential energy, and musculoskeletal discomfort as performance measures. D-HOPP is equipped with an extensive yet intuitive user-interface, and the results are presented in an interactive virtual environment.
KW - Human modeling and simulation
KW - MOO
KW - Reach posture prediction
KW - Virtual environment
UR - http://www.scopus.com/inward/record.url?scp=33645911794&partnerID=8YFLogxK
U2 - 10.1007/s11390-006-0189-3
DO - 10.1007/s11390-006-0189-3
M3 - Article
AN - SCOPUS:33645911794
SN - 1000-9000
VL - 21
SP - 189
EP - 198
JO - Journal of Computer Science and Technology
JF - Journal of Computer Science and Technology
IS - 2
ER -