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Method and device of hand gesture recognition and detection on the basis of deep neural network

A deep neural network and gesture recognition technology, which is applied in the field of gesture recognition and detection based on deep neural network, can solve the problems of large amount of calculation, consume considerable computing resources, and cannot realize gesture recognition and detection, and achieve the effect of low hardware cost.

Active Publication Date: 2016-03-02
BEIJING HORIZON ROBOTICS TECH RES & DEV CO LTD
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Problems solved by technology

[0003] In the interactive control of some game consoles and smart home appliances, there have been technical solutions that use depth cameras such as kinect or binocular camera systems to obtain the depth or three-dimensional information of the human hand for gesture recognition and detection. However, such solutions require depth cameras. Or multi-camera solution, the hardware cost is high and requires considerable computing resources
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  • Method and device of hand gesture recognition and detection on the basis of deep neural network

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[0041] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, rather than to limit the invention. It should also be noted that, for ease of description, only parts related to the invention are shown in the drawings.

[0042] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0043] figure 1 A block diagram of a gesture recognition detection system according to an embodiment of the present invention is shown. The system includes a camera unit, a gesture recognition detection device and a gesture control device. The camera unit is used to acquire the input image sequence, ...

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Abstract

The present invention discloses a method and device of hand gesture recognition and detection on the basis of a deep neural network. The method provided by the invention comprises: acquiring an image sequence containing gestures through picture elements; and detecting gestures in the image sequence through adoption of a deep neural network model, and determining whether a predefined gesture event happens or not, the predefined gesture event consisting of appearance of one or more predefined gestures and performing gesture classification of image blocks with predefined sizes. According to the method of hand gesture recognition and detection on the basis of a deep neural network, fast and accurate recognition of a predefined gesture event may be realized.

Description

technical field [0001] The present disclosure generally relates to the technical field of intelligent recognition, specifically relates to the technical field of gesture recognition and detection based on a neural network, and in particular relates to a gesture recognition and detection method and device based on a deep neural network. Background technique [0002] The fast and accurate gesture recognition detection system on the embedded device can greatly facilitate the convenient interactive control between the user and the device, and create an innovative user experience on furniture and home appliances. [0003] In the interactive control of some game consoles and smart home appliances, there have been technical solutions that use depth cameras such as kinect or binocular camera systems to obtain the depth or three-dimensional information of the human hand for gesture recognition and detection. However, such solutions require depth cameras. Or multi-camera solution, the...

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Application Information

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IPC IPC(8): G06K9/00G06F3/01G06N3/12
CPCG06F3/017G06N3/12G06V40/28
Inventor 黄畅
Owner BEIJING HORIZON ROBOTICS TECH RES & DEV CO LTD
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