Neural Dynamics of Planned Arm Movements: Emergent Invariants and Speed-Accuracy Properties During Trajectory Formation

1993 ◽  
Vol 76 (3) ◽  
pp. 875-884 ◽  
Author(s):  
Taketo Furuna ◽  
Hiroshi Nagasaki

The minimum-jerk model predicts the smoothest trajectory for a class of human movements and so provides us with a kinematic measurement of skilled motor performance. To establish the limits of the model's validity, the predicted and experimentally defined movement trajectories and the joint coordination were compared in two-joint arm movements, bringing the hand from the initial position to the final position through a specified point (a via-point). Kinematic data of the movements were obtained through the SELSPOT system. The movement path, tangential velocity, and coordinated change in positions of the shoulder and elbow joints evidently deviated from those predicted by the model. These results suggest that the minimum-jerk model is not valid for movements under extreme conditions which are highly dependent on musculoskeletal dynamics.


2006 ◽  
Vol 19 (5) ◽  
pp. 582-599 ◽  
Author(s):  
D. Beamish ◽  
I. Scott MacKenzie ◽  
Jianhong Wu

2014 ◽  
Vol 15 (S1) ◽  
Author(s):  
Dominic Standage ◽  
Da-Hui Wang ◽  
Gunnar Blohm

1997 ◽  
Vol 20 (2) ◽  
pp. 322-322
Author(s):  
Dagmar Sternad ◽  
Karl M. Newell

Plamondon & Alimi propose a universal account of trajectory formation and speed/accuracy trade-off in rapid movements but fail, because: (1) the kinematic model ignores the more fundamental dynamics of movement generation, and (2) it does not capture the essential space-time constraints of movement accuracy. Hence, the modeling lacks a biologically and behaviorally principled foundation and is driven by pragmatic function fitting.


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