Gesture identification, control, and neural network training methods and apparatuses, and electronic devices

A gesture identification apparatus, comprising:

• a memory storing processor-executable instructions;
• and
• a processor arranged to execute the stored processor-executable instructions to perform:
• performing gesture information detection on an image by means of a neural network, to obtain a potential hand region, a potential gesture category and a potential gesture category probability in the image, the potential gesture category comprising a gesture-free category and at least one gesture category;
• and
• if the obtained potential gesture category with the maximum probability is the gesture-free category, not outputting position information of the potential hand region of the image;
• or otherwise, outputting the position information of the potential hand region of the image and the obtained potential gesture category with the maximum probability.

A non-transitory computer readable storage medium having stored thereon computer-readable instructions that, when executed by the processor, cause the processor to implement a gesture identification method, the method comprising:

• performing gesture information detection on an image by means of a neural network, to obtain a potential hand region, a potential gesture category and a potential gesture category probability in the image, the potential gesture category comprising a gesture-free category and at least one gesture category;
• and
• if the obtained potential gesture category with a maximum probability is the gesture-free category, not outputting position information of the potential hand region of the image;
• or otherwise, outputting the position information of the potential hand region of the image and the obtained potential gesture category with the maximum probability.