Dynamic gesture trajectory recognition method based on deep convolutional neural network

Abstract

The present invention proposes a dynamic gesture trajectory recognition method based on a deep convolutional neural network, including: collecting the original input gesture trajectory point sequence for preprocessing, detecting and eliminating abnormal points in the gesture trajectory point sequence; The trajectory point sequence is marginalized to generate a normalized gesture trajectory map, and the depth features of the normalized gesture trajectory map are extracted using the trained deep convolutional neural network model; the corresponding gesture trajectory is identified using the trained support vector machine The shape type of the point sequence; use the tree classifier to divide the unknown direction type according to the shape type of the gesture track point sequence; fuse the recognized shape type and direction type to generate the fusion track recognition result of the gesture track point sequence. The present invention adopts shape recognition and direction recognition to provide dynamic gesture recognition services with directions for gesture track point sequences, and the dynamic gesture track recognition work is not affected by time and space differences, and the classification is more detailed.

Description

technical field [0001] The invention relates to the technical fields of computer vision and pattern recognition, in particular to a dynamic gesture track recognition method based on a deep convolutional neural network. Background technique [0002] With the continuous emergence of new technologies of artificial intelligence and new technologies of input and output equipment, human-computer interaction technology is rapidly moving towards the direction of intelligent automation, from the original computer-centered mechanical interaction technology to human-centered multi-channel multimedia intelligence Interactive technology comes up. These new human-computer interaction technologies get rid of the shackles of the old mechanical interaction, and are more and more popular among the audience, such as skin displays, fingerprint or corneal recognition security protection, eye movement interaction devices, etc. [0003] Gesture, as a common communication method for people, is a n...

AI Technical Summary

Problems solved by technology

However, this scheme is still based on the hidden Markov model, and is only interested in the state-space relationship composed of the trajectory point sequence, resulting in multiple cases being classified into the same type, and the recognition results are rough and not accurate enough.

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