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Hand shape, pose, position and motion feature-based gesture control method and system

A morphological feature and gesture control technology, applied in the field of gesture recognition, can solve the problem that the gesture control method cannot be selected and controlled by a variety of functional modules, and achieve the effect of wide application and convenient use.

Active Publication Date: 2018-09-18
哈尔滨拓博科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] In order to solve the problem that the gesture control method in the prior art cannot be used for the selection and control of various functional modules in the national football equipment and equipment, the present invention proposes a gesture control method based on hand shape, posture, position and motion characteristics , the technical solution adopted is as follows:

Method used

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  • Hand shape, pose, position and motion feature-based gesture control method and system
  • Hand shape, pose, position and motion feature-based gesture control method and system

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Embodiment 1

[0100] The present invention proposes a gesture control method based on hand shape, posture, position and motion characteristics, which captures and extracts hand shape, posture, position and motion characteristics in real time through a camera, recognizes user gesture commands, and realizes multiple groups of equipment and Control of multiple functional modules in the device. The gesture control method is as figure 1 As shown, the input image is first read, and one or more of the hand shape, posture, position, and action features can be sequentially extracted from the image based on the actual application needs, and the features are fused and analyzed. When the complete gesture command is detected , send this command, otherwise store the current analysis result and combine it with subsequent images for processing and analysis, specifically:

[0101] Step 1. Read the image data of the input image;

[0102] Step 2, extracting hand features in the image data described in step ...

Embodiment 2

[0182] The present invention proposes a gesture control method based on hand shape, posture, position and motion characteristics, which captures and extracts hand shape, posture, position and motion characteristics in real time through a camera, recognizes user gesture commands, and realizes multiple groups of equipment and Control of multiple functional modules in the device. The gesture control method is as figure 1 As shown, the input image is first read, and one or more of the hand shape, posture, position, and action features can be sequentially extracted from the image based on the actual application needs, and the features are fused and analyzed. When the complete gesture command is detected , send this command, otherwise store the current analysis result and combine it with subsequent images for processing and analysis, specifically:

[0183] Step 1. Read the image data of the input image;

[0184] Step 2, extracting hand features in the image data described in step ...

Embodiment 3

[0198] This embodiment proposes a gesture control system implementing the gesture control method described in claim 1, such as Figure 12 As shown, the technical solutions adopted are as follows:

[0199] The control system includes a main controller, a data acquisition module, a data processing module, an instruction output module and an operation feedback module; the data acquisition signal control interaction end of the main controller is connected to the data control interaction end of the data acquisition module; The data processing signal control interaction end of the main controller is connected to the data control interaction end of the data processing module; the instruction output signal control interaction end of the main controller is connected to the data control interaction end of the instruction output module; The operation feedback signal control interaction end of the main controller is connected to the data control interaction end of the operation feedback m...

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Abstract

The invention provides a hand shape, pose, position and motion feature-based gesture control method and system, which can be used for selection and control of multiple groups of devices and multiple function modules in the devices. According to the method, gesture actions can be captured through a camera; shape, pose, position and motion features are extracted; and based on this, the features areanalyzed to identify gestures of a user, so that the selection and control of the devices or the function modules are realized.

Description

technical field [0001] The invention relates to a gesture control method and system based on hand shape, posture, position and motion characteristics, and belongs to the technical field of gesture recognition. Background technique [0002] Gesture control has the characteristics of non-contact and convenient operation, and is one of the important research directions in human-computer interaction. Among the current common gesture control methods, the electromagnetic induction method is difficult to recognize the fine movements of fingers; the control method based on wearable devices requires the user to wear an additional specific device, which increases the burden on the user. In the image-based gesture control method, only the number of fingers or the two-dimensional plane motion trajectory of the hand is recognized, and the information contained in the image (such as pointing, three-dimensional motion trajectory, etc.) is not fully mined; or only sliding, clicking, etc. t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F3/01G06F3/16G06K9/00G06K9/46
CPCG06F3/017G06F3/165G06V40/28G06V10/443
Inventor 刘春燕孙晅李美娟
Owner 哈尔滨拓博科技有限公司
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