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Fine gesture recognition method, device and equipment

A gesture recognition and refinement technology, applied in the field of gesture recognition, can solve the problems of high computational complexity, inability to achieve refined and diverse finger motion recognition, etc.

Active Publication Date: 2017-11-21
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI +1
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  • Abstract
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  • Claims
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Problems solved by technology

[0006] In view of this, the embodiment of the present invention provides a refined gesture recognition method, device and equipment to solve the gesture recognition method in the prior art. Due to the high computational complexity, it is impossible to realize refined and diverse finger movement recognition. The problem

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  • Fine gesture recognition method, device and equipment
  • Fine gesture recognition method, device and equipment
  • Fine gesture recognition method, device and equipment

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Embodiment Construction

[0048] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0049] In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate.

[0050] Such as figure 1As shown, the refined gesture recognition method described in the embodiment of the present invention includes:

[0051] In step S101, local features of hand joint positions are extracted, and the local features include relative position feature...

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Abstract

A fine gesture recognition method includes steps of: extracting local features of a hand joint position, the local features including relative position features and / or timing displacement features; performing cluster calculation according to the relative position features and / or timing displacement features to obtain the clustering features corresponding to the relative position features and / or timing displacement features; according to the corresponding relationship between the clustering features and the gesture categories, performing clustering feature model training, and performing gesture recognition according to the trained clustering feature model. The invention can help the classifier to measure the similarity of the gesture type and help to judge the fine movement process of the finger and realize the detection of the substantial movement.

Description

technical field [0001] The invention belongs to the field of gesture recognition, and in particular relates to a refined gesture recognition method, device and equipment. Background technique [0002] In human-computer interaction systems such as smart TVs, wearable mobile terminals, personal computers, or virtual reality devices, online gesture recognition interaction input is often used. [0003] According to different data collection methods, the current methods of gesture recognition at home and abroad can be divided into two types based on wearable devices and based on vision. in: [0004] The gesture recognition method based on wearable devices mainly uses sensors such as accelerometers and gyroscopes to obtain the trajectory information of gestures in three-dimensional space. The advantage of gesture recognition based on wearable devices is that it can be equipped with multiple sensors to obtain accurate hand joints. The relative position information and spatial tra...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/28G06F18/23
Inventor 姬晓鹏程俊潘亮亮张丰方琎
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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