Gesture recognition method, gesture recognition system, and performing device therefore

A gesture recognition system, comprising a performing device and a training device;

• wherein the performing device comprises:
• a sensing unit, sensing a sensing signal and a training signal;
• a memory unit, storing a neural network;
• a processing unit, electrically connected to the sensing unit and the memory unit;
• wherein the processing unit executes a performing procedure;
• wherein the performing procedure comprises steps of:
• receiving the sensing signal from the sensing unit;
• wherein the sensing signal comprises a plurality of sensing frames;
• selecting one of the sensing frames;
• determining a soft label of the selected sensing frame according to the neural network;
• classifying a gesture event when the soft label of the selected sensing frame is approved;
• wherein the training device is electrically connected to the performing device, and executes a training procedure;
• wherein the training procedure comprises steps of:
• receiving the training signal from the sensing unit of the performing device;
• wherein the training signal comprises a plurality of training frames;
• determining an amount of the training frames of the training signal;
• determining a function according to the amount of the training frames of the training signal;
• calculating a soft label of each training frame of the training signal according to the function;
• and
• training the neural network with the soft labels of the training frames of the training signal as ground truth of the neural network.

A performing device, comprising:

• a sensing unit, sensing a sensing signal and a training signal;
• a memory unit, storing a neural network;
• a processing unit, electrically connected to the sensing unit and the memory unit;
• wherein the processing unit executes a performing procedure;
• wherein the performing procedure comprises steps of:
• receiving the sensing signal from the sensing unit;
• wherein the sensing signal comprises a plurality of sensing frames;
• selecting one of the sensing frames;
• determining a soft label of the selected sensing frame according to the neural network;
• classifying the gesture event when the soft label of the selected sensing frame is approved.