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A 3D dynamic gesture recognition method for smart home systems

A smart home system and dynamic gesture technology, applied in the fields of human-computer interaction and computer vision, can solve the problems of complex gesture detection methods, high equipment requirements, and low accuracy, and achieve real-time human-computer interaction, simple algorithms, and processing speed fast effect

Inactive Publication Date: 2016-06-08
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0004] The purpose of the present invention is to provide a 3D dynamic gesture recognition method for smart home systems, which solves the problems of complex and time-consuming gesture detection methods currently used, high requirements for equipment, and low accuracy

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[0022] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0023] figure 1 An embodiment of a 3D dynamic gesture recognition method for a smart home system of the present invention is shown. A 3D dynamic gesture recognition method for a smart home system, comprising the following steps:

[0024] Step 1, the Kinect camera that is connected with computer collects depth image and RGB image;

[0025] Step 2, preprocess the depth image, remove the pure white or pure black points in the depth image, and then find the average depth of the background in the depth image;

[0026] Step 3: Perform face detection in the RGB image, use a classifier for face detectio...

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Abstract

The invention relates to the technical fields of computer vision and human-computer interaction, in particular to a 3D dynamic gesture recognition method for a smart home system, in which a Kinect camera connected to a computer collects a depth image and an RGB image; the depth image is preprocessed; Perform face detection in RGB images; extract face depth; separate human hand area images; find palm areas; store palm position information. When the present invention is used in the control of smart home systems, it can replace the traditional switch keyboard control, and transmit the actions of human hands to a central system, so that people can make adjustments without getting up and going to the home products, and the computer can do it for them. Easier and simpler.

Description

technical field [0001] The invention relates to the technical fields of computer vision and human-computer interaction, in particular to a 3D dynamic gesture recognition method for a smart home system. Background technique [0002] There are various gesture detection methods on the Internet. For different methods, each has its advantages and disadvantages. For example, some detection methods can achieve basic accuracy, but the detection method is complicated and takes too long. It is difficult to achieve the real-time processing effect we want if it is only on a general personal computer. Secondly, gesture recognition methods are also intricate. Although some recognition methods have a low error rate, they require pre-training, and the data after training will greatly occupy the user's disk space. [0003] Kinect is the name officially released by Microsoft to the Xbox360 somatosensory peripheral peripherals, specifically a video camera, which is used as a visual sensor in...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06F3/01
Inventor 杨路程洪王冠聂磊
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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