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Hand motion detecting method, hand motion detecting device and human-computer interaction system

A hand movement and hand technology, applied in the field of human-computer interaction, can solve problems such as high complexity and poor anti-interference performance

Inactive Publication Date: 2014-01-08
TCL CORPORATION
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the embodiments of the present invention is to provide a method for hand motion detection, which aims to solve the problems of high complexity and poor anti-interference performance of existing hand motion detection methods

Method used

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  • Hand motion detecting method, hand motion detecting device and human-computer interaction system
  • Hand motion detecting method, hand motion detecting device and human-computer interaction system
  • Hand motion detecting method, hand motion detecting device and human-computer interaction system

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Experimental program
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Embodiment 1

[0041] figure 1 The implementation flow of the hand motion detection method provided by Embodiment 1 of the present invention is shown, and the process of the method is described in detail as follows:

[0042] In step S101, an image frame is collected, a target area including a human face in the image frame is obtained, and the target area is divided into a plurality of sub-areas.

[0043] In this embodiment, the human-computer interaction system (not limited to other home appliances such as televisions) collects an image sequence through a built-in or external camera, and the image sequence includes multiple frames of images. A preset face detection algorithm is used to detect whether there is an image frame containing a human face in the collected image sequence, and if there is, a target area containing a human face in the image frame is acquired.

[0044] In this embodiment, in order to reduce the external interference to the hand motion detection and improve the anti-int...

Embodiment 2

[0071] figure 2 The implementation flow of the hand motion detection method provided by Embodiment 2 of the present invention is shown, and the process of the method is described in detail as follows:

[0072] In step S201, the image frame is collected, and whether there is a human face in the image frame collected by Adaboost or haar face detection algorithm based on the rectangular feature;

[0073] In step S202, when there is a human face in the captured image frame, and the human face is stationary within a preset time, a block containing the human face and the left and right shoulders is divided with the position of the human face as the center a rectangular target area, and divide the target area into a plurality of sub-areas.

[0074] In this embodiment, the system collects an image sequence through a built-in or external camera, and the image sequence includes multiple frames of images. Detect whether there is a human face in the collected image frame through the pr...

Embodiment 3

[0077] image 3 The implementation flow of the hand motion detection method provided by Embodiment 3 of the present invention is shown, and the process of the method is described in detail as follows:

[0078] In step S301, an image frame is collected, a target area including a human face in the image frame is obtained, and the target area is divided into a plurality of sub-areas.

[0079] This step is the same as step S101 in the first embodiment, and will not be repeated here.

[0080] In step S302, the image collected is processed by the three-frame difference method;

[0081] In step S303, after binarizing the processed image, a clear image is obtained through denoising processing;

[0082] In this embodiment, since there are many small areas or small gaps in the binarized image, it is necessary to perform corresponding denoising processing to obtain a clear image. Wherein, the denoising process includes but is not limited to removing isolated small areas by using erosi...

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Abstract

The invention is applicable to the technical field of human-computer interaction, and provides a hand motion detecting method, a hand motion detecting device and a human-computer interaction system. The method includes: collecting image frames to acquire a human face contained target area in the image frames and divide the target area into multiple subareas; detecting whether hand motion information exists in the target area or not; if yes, determining the position of the subarea where the hand centroid of an initial-frame image in the image frames is positioned according to the hand motion information, and centering on the subarea where the centroid is positioned to divide the target area into multiple motion areas; acquiring a next-frame image and detecting whether the hand centroid of the image is positioned in the motion areas or not; and if yes, recording the motion characteristics of the motion area and determining the hand motion detecting results according to the motion characteristics. Using the hand motion detecting method, the hand motion detecting device and the human-computer interaction system can simply and quickly detect hand motion and improve interference resistance of the system in hand motion detection.

Description

technical field [0001] The invention belongs to the technical field of human-computer interaction, and in particular relates to a method and device for hand motion detection and a human-computer interaction system. Background technique [0002] With the development of information technology, human-computer interaction activities have gradually become an important part of people's daily life. Traditional human-computer interaction devices such as mice, keyboards, and remote controls have certain defects in the naturalness and friendliness of use. Therefore, users are eager to replace the traditional equipment with a natural and intuitive human-computer interaction mode. Key-based input and control. [0003] The existing human-computer interaction mode based on gesture recognition is more and more widely used due to its naturalness, intuition, simplicity and other characteristics. However, when the existing human-computer interaction mode based on gesture recognition detects...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06F3/01
Inventor 张登康邵诗强
Owner TCL CORPORATION