Gymnasium body-building movement identification method and device based on depth learning
A technology of action recognition and deep learning, applied in the field of image recognition, can solve problems such as sports injuries, asymmetric fitness effects, and tediousness, and achieve the effect of correcting wrong actions, reducing tedious work, and improving fitness effects
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[0023] The present invention first proposes a gym fitness action recognition method based on deep learning, using real-time video as a medium, and adopting a deep learning-based method to perform regular action recognition on it, including the following steps:
[0024] (1) Data collection, taking pictures of demonstration actions, and recording standardized actions as standardized action images;
[0025] In this step, according to the human body posture and motion characteristics extracted from the standardized motion images, determine the belonging sports items, such as running, dumbbells, etc., and store them as different feature template library files according to the sports items;
[0026] (2) Data labeling, to classify the standardized action images obtained in step (1) by labeling;
[0027] In this step, the operation is performed on the feature template library file;
[0028] (3) Data training, using the deep learning method Caffe's object detection and recognition framework base...
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