Quantitative knowledge of human movement behavior is important in a growing number of engineering applications (medical and rehabilitation technology, athletic and military equipment, human-computer interaction, vehicle performance, etc.). Presents a quantitative, model-based description of how biomechanical and neural factors interact in human sensory-motor behavior, focusing mainly on the upper limbs. Students survey recent literature on how motor behavior is controlled, comparing biological and robotic approaches to similar tasks. Topics may include a review of relevant neural, muscular and skeletal physiology, neural feedback and "equilibrium-point" theories, co-contraction strategies, impedance control, kinematic redundancy, optimization, intermittency, contact tasks and tool use.
Doctor of Philosophy (PhD) in Mechanical Engineering
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| content serial | Description |
|---|
| 1 | Quantitative knowledge of human movement behavior. |
| 2 | Quantitative, model-based description of human sensory-motor behavior. |
| 3 | Quantitative, model-based description of human sensory-motor behavior |
| 4 | Biological and robotic approaches to similar tasks |
| 5 | Biological and robotic approaches to similar tasks |
| 6 | Neural feedback. |
| 7 | Neural feedback. |
| 8 | Equilibrium-point theories. |
| 9 | Equilibrium-point theories. |
| 10 | co-contraction strategies |
| 11 | Impedance control |
| 12 | Kinematic redundancy. |
| 13 | Optimization. |
| 14 | Intermittency. |
| 15 | Contact tasks and tool use. |
| 16 | Final Examination |
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