Dynamic Gesture Recognition Method and Device

A dynamic gesture and recognition method technology, applied in the field of intelligent human-computer interaction, can solve the problems of low dynamic gesture recognition rate and interference, and achieve the effect of improving the dynamic gesture recognition rate

Inactive Publication Date: 2019-10-18
重庆重智机器人研究院有限公司
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Problems solved by technology

[0004] In the prior art, although vision-based dynamic gesture recognition technology has achieved some remarkable results and developed a series of gesture recognition systems, the existing dynamic gesture recognition There are still many deficiencies and defects, and it is extremely susceptible to interference from undefined gesture trajectories, skin colors and wrists, and the recognition rate of dynamic gestures is not high.

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  • Dynamic Gesture Recognition Method and Device
  • Dynamic Gesture Recognition Method and Device

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Embodiment Construction

[0046] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0047] It should be noted that l...

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Abstract

The present invention provides a dynamic gesture recognition method and device. The method includes: an image acquisition device collects image information, and separates dynamic gesture information from the image information; extracts dynamic gesture vector features in the dynamic gesture information, and performs dynamic gesture vector features Carry out discretization processing of chain codes in twelve directions; use the support vector machine algorithm to calculate the probability distribution of angles in twelve directions as the observed state transition probability matrix of the hidden Markov model of multiple gesture trajectories to obtain multiple gestures The hidden Markov model of the trajectory; calculate the threshold corresponding to each dynamic gesture feature trajectory in multiple hidden Markov models; calculate the output probability of the gesture trajectory to be recognized in the hidden Markov model, and select the maximum output in the output probability Probability: compare the maximum output probability with the threshold, and output the recognition result when the maximum output probability is greater than the threshold. The invention can improve the dynamic gesture recognition rate.

Description

technical field [0001] The present invention relates to the field of intelligent human-computer interaction, in particular to a dynamic gesture recognition method and device. Background technique [0002] Dynamic gesture recognition is composed of a series of gesture actions. It mainly studies continuous hand shape changes and trajectory changes in gesture video sequences. This interaction method is more in line with people's daily communication habits. Dynamic gesture recognition combines the results of static gesture recognition and expands on this basis to achieve more and richer semantics. Therefore, dynamic gesture recognition technology has important research significance and broad application prospects in the development of human-computer interaction. . [0003] The research on vision-based dynamic gesture recognition technology started relatively early. By integrating the Camshift algorithm and Kalman filter algorithm to improve the effect of dynamic gesture trackin...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F3/01G06K9/00
CPCG06F3/017G06V40/20
Inventor 徐晓东张程张毅
Owner 重庆重智机器人研究院有限公司
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