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Gesture recognition method and device

A gesture recognition and gesture technology, applied in neural learning methods, biometric recognition, character and pattern recognition, etc., can solve the problems of low gesture recognition accuracy and efficiency, high equipment overhead, etc. The effect of simple identification process

Pending Publication Date: 2022-02-18
HUAWEI TECH CO LTD
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AI Technical Summary

Problems solved by technology

[0006] This application provides a gesture recognition method and device to solve the problems of low accuracy and efficiency of gesture recognition and high equipment cost in current dynamic gesture recognition

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  • Gesture recognition method and device

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Embodiment Construction

[0049] The technical solutions of the present application are described below in conjunction with the accompanying drawings.

[0050] In the description of the present application, unless otherwise specified, " / " means "or", for example, A / B may mean A or B. The "and / or" in this article is just an association relationship describing associated objects, which means that there can be three relationships, for example, A and / or B, which can mean: A exists alone, A and B exist at the same time, and B exists alone These three situations. In addition, "at least one" means one or more, and "plurality" means two or more. Words such as "first" and "second" do not limit the number and order of execution, and words such as "first" and "second" do not necessarily limit the difference.

[0051] It should be noted that, in this application, words such as "exemplary" or "for example" are used as examples, illustrations or illustrations. Any embodiment or design described herein as "exempla...

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Abstract

The invention discloses a gesture recognition method and device. The method comprises the following steps: acquiring a first image vector and a weight of the first image vector, where the first image vector is an image vector of a key frame in an image sequence generated according to a video image of a gesture to be recognized, and the weight of the first image vector is the weight of the key frame in the image sequence; generating a first gesture feature vector according to the first image vector and the weight of the first image vector; determining a gesture recognition result of the to-be-recognized gesture according to the first gesture feature vector and the first gesture feature vector set, where the first gesture feature vector set is a set composed of gesture feature vectors with known gesture recognition results. By adopting the method, the image vector of the key frame of the image sequence of the gesture to be recognized can be converted into the gesture feature vector with the fixed length, and the gesture recognition process is converted into the retrieval process of the gesture feature vector, so that the problems of noise introduction or feature information loss and equipment overhead increase can be avoided.

Description

technical field [0001] The present application relates to the technical field of terminal equipment, and in particular to a gesture recognition method and device. Background technique [0002] With the development of human-computer interaction technology and computer vision technology, the interaction between human and computer has gradually become an important part of people's daily life. For example, gesture recognition based on computer vision technology is a very friendly way of human-computer interaction. [0003] Gesture recognition may include dynamic gesture recognition, that is, a computer recognizes dynamic gestures made by a user. Dynamic gestures are usually composed of multiple hand movements. Currently, dynamic gestures can be recognized using a deep learning model, or can also be recognized through template matching. [0004] When using a deep learning model to recognize dynamic gestures, feature extraction of dynamic gestures is required. At present, a fi...

Claims

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Application Information

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IPC IPC(8): G06V40/20G06V40/10G06V10/764G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/241
Inventor 李明阳周振坤徐羽琼
Owner HUAWEI TECH CO LTD
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