Shaping of arm configuration space by prescription of non-Euclidean metrics with applications to human motor control

Keyphrases

• Human Motor Control 100%
• Configuration Space 100%
• Non-Euclidean Metric 100%
• Geodesics 66%
• Human Arm Movement 66%
• Minimum Jerk Model 66%
• Metric Structures 66%
• Movement Control 33%
• Three-dimensional (3D) 33%
• Metric Space 33%
• Geometric Approach 33%
• Constrained Motion 33%
• Geodesic Path 33%
• Power Law 33%
• Kinematic Features 33%
• Emergent Properties 33%
• Motor Task 33%
• Motor System 33%
• Differential Geometry 33%
• Computational Strategies 33%
• Non-periodic 33%
• Sensorimotor System 33%
• Four Degrees of Freedom 33%
• Riemannian Manifold 33%
• Pointlikes 33%
• Learning Metrics 33%
• Dynamic Features 33%
• Hand Position 33%
• Sensorimotor Feedback 33%

Engineering

• Metrics 100%
• Human Motor Control 100%
• Configuration Space 100%
• Minimum Jerk Model 50%
• Boundary Condition 25%
• Theoretical Study 25%
• Experimental Finding 25%
• Degree of Freedom 25%
• Motor Task 25%
• Movement Control 25%
• Third Power Law 25%

Mathematics

• Configuration Space 100%
• Metric Space 33%
• Boundary Condition 33%
• Power Law 33%
• Emergent Property 33%
• Degree of Freedom 33%
• Ellipse 33%
• Riemannian Manifolds 33%
• Geodesic Path 33%