3d convolutional neural network based gesture recognition method

Abstract

The invention belongs to gesture recognition methods and relates to a 3d convolutional neural network based gesture recognition method. A series of preprocessing is carried out aiming at common videosand depth videos shot by a depth camera. On the basis of application of a common processing method for preprocessing, a convolutional neural sub-network and a deconvolution neural sub-network combined denoising method is adopted aiming at the problem of noise points of video images, and a 3d convolutional neural network is adopted for processing aimed at a temporal-spatial relationship in the videos. By the 3d convolutional neural network based gesture recognition method, the gesture classification rate is substantially increased, and recognition basis reliability and result reasonability areimproved.

Description

technical field [0001] The invention belongs to a gesture recognition method. Background technique [0002] In a rapidly developing society, communication between people does not rely solely on verbal communication. When we encounter problems that cannot be communicated through language, we will instinctively choose body language. Gestures are one of the important ways of communication between people in our daily life. One, we have been able to express our hospital more accurately. As a research hotspot in the field of computer applications and artificial intelligence, gesture recognition technology is becoming more and more perfect. Mature gesture recognition technology can be applied to the fields of robot control, speech recognition, unmanned driving and motion detection. However, due to the diversity and uncertainty of gestures in time and space, gestures become a complex deformable body, so the current theory of human-computer interaction is not mature enough, and the ...

AI Technical Summary

Problems solved by technology

Now many cars are equipped with navigation systems. Going home is the driver’s default setting. When we go home, we need to set up the navigation to go home through the mobile phone or car navigation. It is easy to cause traffic accidents due to distraction.

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