Gesture detection method based on acceleration compensation and complexion model

Abstract

The invention puts forward a gesture detection method based on acceleration compensation and a complexion model. The method comprises the following steps that: S1: image preprocessing: preprocessing agesture image captured by a camera; S2: acceleration and angle calculation: calculating the acceleration and angle change of a pixel in the image; S3: illumination balancing: using histogram equalization to compensate illumination changes; S4: gesture detection: using a complexion model to detect parts of image of a hand; and S5: image filtering: filtering non-gesture parts to extract a gesture image. By use of the scheme, an acceleration sensor is adopted to collect acceleration data and calculate an angle of inclination to eliminate the interference of hand shaking or movement for a hand coordinate, a linear equation is adopted to fit the complexion model, complexion segmentation is used for realizing gesture detection, interference brought by body shaking is reduced, and the accuracy of gesture detection is improved.

Description

technical field [0001] The invention relates to the field of human-computer interaction, in particular to a gesture detection method based on acceleration compensation and a skin color model. Background technique [0002] In order to help the disabled / elderly maintain communication and communication with the outside world, improve their independent living ability, and reduce the burden on the family and society, many scientists around the world have begun to explore new ways of human-computer interaction. The so-called interaction technology includes the interaction between human and actuators (such as robots, etc.) and the interaction between actuators and the environment. The significance of the former is that humans can implement planning and decision-making that are difficult for executive agencies in unknown or uncertain environments; the significance of the latter is that robots can complete tasks in harsh environments or remote environments that humans cannot reach. ...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to overcome the deficiencies of the prior art, especially to solve the problem that in the existing gesture interaction technology based on computer vision, the amount of information obtained is large, the processing of the data model is difficult, and when the human hand shakes, the recognition rate will decrease.

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