Gesture recognition method and system using siamese neural network

A gesture recognition system using siamese neural network, comprising:

• a sensor, configured to sense a first training signal and a second training signal;
• a first neural network unit, configured to be electrically connected to the sensor to receive the first training signal, and calculate a first feature;
• a second neural network unit, configured to be electrically connected to the sensor to receive the second training signal, and calculate a second feature;
• a weight sharing unit, configured to be electrically connected to the first neural network unit and the second neural network unit, and control weight of the first neural network unit and weight of the second neural network unit to be the same;
• a similarity analysis unit, configured to be electrically connected to the first neural network unit and the second neural network unit, and receive the first feature and the second feature;
• wherein the similarity analysis unit determines a distance between the first feature and the second feature in a feature space;
• a weight controlling unit, configured to be electrically connected to the similarity analysis unit and the weight sharing unit;
• wherein the weight controlling unit controls the weight of the first neural network unit and the weight of the second neural network unit through the weight sharing unit to adjust the distance between the first feature and the second feature in the feature space according to a predetermined parameter.