A kind of fitness assistant method based on myoelectric signal
An EMG signal and muscle technology, applied in the field of pattern recognition and artificial intelligence, can solve problems such as inability to directly reflect the specific state of muscles, prone to misjudgment, and large amount of posture information
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[0068] Embodiment 1, using the BP neural network to classify the classification results of the kg sitting single-arm dumbbell curl, 10kg sitting single-arm dumbbell curl, and 30kg arm strength machine overhand grip, as shown in Figure 9 shown. The three actions are labeled 1, 2, and 3, respectively. Do 20 sets of each of the three actions and input them into the trained BP neural network classification model to get the output value. Figure 9 a) is the ideal classification result, Figure 9 b) Classify the results for the model, from Figure 9 It can be seen that the classification effect of the label 1 action is the worst, but it can be completely separated from the other two actions.
[0069] Embodiment 2, using the arm strength machine to hold the simulated standard fitness action, such as figure 1 As shown in a), use the arm strength machine to simulate non-standard fitness movements, such as figure 1 b) as shown. Do 10 groups of actions for each of the two kinds of...
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