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Three-dimensional gesture recognizing method based on Kinect depth image

A technology of depth image and recognition method, applied in the field of 3D gesture recognition and 3D gesture recognition based on Kinect depth image, can solve the problems of poor gesture recognition accuracy and few gesture recognition, and achieve the effect of enriching the way of human-computer interaction

Inactive Publication Date: 2014-07-23
HOHAI UNIV CHANGZHOU
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Problems solved by technology

[0005] In order to solve the deficiencies in the prior art, the object of the present invention is to provide a three-dimensional gesture recognition method based on the Kinect depth image, which can solve the problems of few gesture recognition and poor gesture recognition accuracy in the prior art

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  • Three-dimensional gesture recognizing method based on Kinect depth image
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  • Three-dimensional gesture recognizing method based on Kinect depth image

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Embodiment Construction

[0053] The present invention will be specifically introduced below in conjunction with the accompanying drawings and specific embodiments.

[0054] refer to figure 1 As shown, the present invention provides a three-dimensional gesture recognition method based on the Kinect depth image, which expands the traditional human-computer interaction method. After the corresponding semantics are assigned to the recognized 3D gestures, they can be mapped into various operation commands and applied in the human-computer interaction system, thus greatly improving the naturalness of human-computer interaction.

[0055] A kind of three-dimensional gesture recognition method based on Kinect depth image of the present invention comprises the following steps:

[0056] Step 1: Detect multiple palm feature points;

[0057] Step 2: According to the starting position of each palm feature point, find a gesture matching the starting position of the palm feature point in the gesture library, and bu...

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Abstract

The invention discloses a three-dimension gesture recognizing method based on a Kinect depth image. The three-dimension gesture recognizing method is characterized by including the following steps that (1), multiple palm feature points are detected; (2), according to the starting positions of all the palm feature points, gestures matched with the starting positions of the palm feature points are found out in a gesture library, and a gesture candidate set is constructed based on the gestures matched with the starting positions of the palm feature points; (3), motion trails of the palm feature points are tracked and recorded, and the gestures which do not meet the motion trails of the palm feature points are rejected out of the gesture candidate set; (4), according to the conditions of the gestures remaining in the gesture candidate set, a gesture recognizing result is obtained. Natural interaction with a computer is achieved, and the human-computer interaction mode is enriched. The three-dimension gesture recognizing method can be widely applied to the fields of computer game control, virtual reality, digital education and the like.

Description

technical field [0001] The invention relates to a three-dimensional gesture recognition method, in particular to a three-dimensional gesture recognition method based on a Kinect depth image, and belongs to the technical field of image analysis and recognition. Background technique [0002] In recent years, due to the characteristics of intuitiveness and naturalness, gestures have become an important means of human-computer interaction, and gesture recognition has gradually become a focus of research. [0003] There are currently three methods of gesture recognition: recognition based on data gloves, recognition based on vision, and recognition based on somatosensory peripherals. Recognition based on data gloves requires experimenters to wear data gloves. Gesture recognition is relatively accurate, but the equipment is bloated and expensive. Vision-based recognition uses one or more cameras to obtain hand coordinate information, which can realize three-dimensional gesture re...

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Application Information

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IPC IPC(8): G06F3/01
Inventor 刘景吴煌灿李智娴林辉金永霞孔令爱
Owner HOHAI UNIV CHANGZHOU
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