Name
Abstract | ||
|---|---|---|
Kinematics aspect of planning and control of human arm movements are considered in this paper. First, we analyze unconstrained reaching movements using simple analytical models. Here, we introduce a generalized minimum jerk criterion, analyze the smoothness of the optimal solutions and discuss the role of the boundary conditions in the trajectory formation. Next, we analyze the constrained human movements using a crank rotation task. Analysis of the experimental data shows that constrained and unconstrained reaching movements might involve different control strategies, which reflected in the choice of the optimality criterion. It is demonstrated that among the kinematics based criteria, the minimum crank jerk criterion produce a rough matching to the experimental data. It is hypothesized that in the process of learning and adaptation the brain constructs a suitable parameterization of the strained manifold. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/ICSMC.2003.1244452 | Systems, Man and Cybernetics, 2003. IEEE International Conference |
Keywords | Field | DocType |
biocontrol,biomechanics,optimal control,physiological models,arm movement control,arm movement planning,biomimetic control system,boundary conditions,computational neuroscience,constrained manipulations,crank rotation task,human arm movements,kinematics,minimum jerk criterion,optimal solutions,optimality criterion,trajectory formation,unconstrained manipulations | Crank,Kinematics,Optimal control,Optimality criterion,Computer science,Control theory,Jerk,Smoothness,Manifold,Trajectory | Conference |
Volume | ISSN | ISBN |
4 | 1062-922X | 0-7803-7952-7 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mikhail M. Svinin | 1 | 96 | 25.94 |
| Ohta, K. | 2 | 1 | 0.96 |
| Zhiwei Luo | 3 | 223 | 32.01 |
| Shigeyuki Hosoe | 4 | 226 | 48.79 |