A recognition method and device suitable for complex gestures

A gesture recognition and recognition method technology, applied in the field of complex gesture recognition devices, can solve the problems of inability to recognize complex gesture orientation features and spatial features, inability to recognize arm features and hand shape features, inability to recognize gesture timing features, etc. Simple, easy to produce, quick to process results

Active Publication Date: 2020-06-16
GUANGZHOU HUANTEK CO LTD +2
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Problems solved by technology

[0003] The existing gesture recognition methods mainly focus on the visual system in terms of the systems and equipment used. The basic data unit for its collection and recognition is an image, which has a large amount of data, complex processing, and low anti-interference ability; In terms of types, there are mainly simple hand shape recognition, which only pays attention to the relative characteristics of fingers and palms, and cannot recognize the orientation and spatial characteristics of a complex gesture; there is simple trajectory recognition, which only pays attention to the spatial position changes of palms, and cannot Recognize the characteristics of the entire arm and hand shape in a complex gesture; from the perspective of recognition methods, there are neural networks, fuzzy recognition, etc., which are used to recognize static gestures, and cannot recognize the timing characteristics of gestures

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  • A recognition method and device suitable for complex gestures
  • A recognition method and device suitable for complex gestures
  • A recognition method and device suitable for complex gestures

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Embodiment Construction

[0029] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. 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.

[0030] Such as figure 2 The shown method of the present invention applicable to complex gesture recognition includes: calculating the spatial position of the back of the hand; judging the relationship between the back of the hand and the gesture recognition space area to control the collected data; performing preprocessing according to the collected data; performing preprocessing on the preprocessed data Recognition; Output the gesture recognition res...

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Abstract

The invention discloses a complex gesture recognition method. The method comprises the following steps of: calculating a space position where the back of a hand is located; judging a relationship between the back of the hand and a gesture recognition space area to control acquired data; carrying out preprocessing according to the acquired data; recognizing the preprocessed data; and outputting a gesture recognition result which has a highest similarity. The method and device are very suitable for the complex gesture recognition under 3D scenes, and an adopted algorithm can satisfy the recognition requirements, so that the processing is simpler.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, in particular to a complex gesture recognition device and method. Background technique [0002] Video devices such as monitors are viewed by users from a long distance, so most of them are operated by remote controller or mouse and keyboard. As the products become more and more intelligent, the operation mode of remote controller can no longer meet the needs of users. Gesture control, as a new type of control method, is gradually being applied to control monitors and other products. [0003] The existing gesture recognition methods mainly focus on the visual system in terms of the systems and equipment used. The basic data unit for its collection and recognition is an image, which has a large amount of data, complex processing, and low anti-interference ability; In terms of types, there are mainly simple hand shape recognition, which only pays attention to the relative characterist...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F3/01
CPCG06F3/017
Inventor 李元龙周言明黄昌正林晓峰陈曦
Owner GUANGZHOU HUANTEK CO LTD
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