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 recognition rate and interference of dynamic gestures, and achieve the effect of improving the recognition rate of dynamic gestures

Inactive Publication Date: 2017-04-05
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 recogniti

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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 invention provides a dynamic gesture recognition method and device. The method comprises the following steps of: acquiring image information by an image acquisition device, and segmenting dynamic gesture information from the image information; extracting dynamic gesture vector characteristics in the dynamic gesture information, and performing chain code discretization of the dynamic gesture vector characteristics in twelve directions; calculating probability distribution in the twelve directional angles by utilizing a support vector machine algorithm, and taking the probability distribution as an observation state transition probability matrix of a hidden Markov model having multiple gesture trajectories, so that the hidden Markov model having the multiple gesture trajectories is obtained; calculating a threshold value corresponding to each dynamic gesture characteristic trajectory in the hidden Markov model; calculating the output probabilities of gesture trajectories to be recognized in the hidden Markov model, and selecting the maximum output probability in the output probabilities; and, comparing the maximum output probability with the threshold value, and outputting a recognition result when the maximum output probability is greater than the threshold value. By means of the dynamic gesture recognition method and device provided by the invention, the dynamic gesture recognition rate can be increased.

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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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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