Wang Kaijun  and  Dai Ni. A Non-Linear Evaluation Index of Human Motor Function. Dynamic Systems and Applications 29 (2020) No. 5, 1940 – 1947

https://doi.org/10.46719/dsa202029527

ABSTRACT.
The athlete’s anaerobic threshold power indicator slowly rose, eventually reaching a plateau and rushed up. Reasonable cycle-wise placement of training content, the heavy load has a significant impact on improving the aerobic ability of a player and the strength of a player to perform their search. It is based on a gradient descent algorithm to iterate the underlying learning and optimize the appropriate input and output metrics. The paradigm is the method used for quantitative modeling at the input/output level; learning is described in this note. The Non-Linear Evaluation Index (NLEI) model shows that human motor learning, an experimental study in a robot-controlled environment, constitutes an extended control and learning classic (iteration) of a suitable motor model of human motor motion, which is ideal for observed human learning behavior. For motor skills rehabilitation, this model extends the ability and strength of the rehabilitation physician by establishing a useful robotic patient-clinician feedback loop, ensuring a better human-machine interface. I will. To solve the needs of more people, time, and comfortable distance in their environment over a long period: The current rehabilitation system can significantly achieve the financial promise of robot-assisted rehabilitation. It is possible to extend the functionality of the above intervention.

Keywords: boat, training, index human motor function; Non-Linear Evaluation Index (NLEI).