The invention relates to the technical field of intelligent fitness equipment and exercise training control, and provides a
training plan dynamic generation and action quality scoring method and
system for an intelligent
dumbbell. The method comprises the following steps: acquiring action data of a user during training and personalized parameters input by the user in real time through an acceleration sensor, an
angular velocity sensor and a
pressure sensor which are arranged in the intelligent
dumbbell; inputting the action data and the personalized parameters into a preset
training plan generation
algorithm module so as to generate a stage
training plan comprising the action type, each group of training duration, intermittent time and a
weight adjustment strategy; an action quality scoring model is constructed, a standard action template is pre-stored in the scoring model, and the standard action template comprises standard trajectory curves, speed threshold ranges, amplitude reference values and force exerting symmetry parameters corresponding to different training actions; and performing multi-dimensional matching analysis on the action data and a standard action template, and dynamically correcting the
score in combination with the current fatigue parameter of the user.