Recognition method and system for multi-point touch and gesture movement capturing in three-dimensional space

Abstract

The invention discloses a recognition system for multi-point touch and gesture movement capturing in three-dimensional space, and belongs to the technical field of intelligent recognition. The recognition system for multi-point touch and gesture movement capturing in the three-dimensional space comprises a miniature computer host, a laser projector, a first infrared camera, a second infrared camera, an LED (light emitting diode) lamp, a linear laser transmitter and a projection plane, wherein the laser projector projects contents processed by the miniature computer host, so that the projection plane is generated; the illumination plane of the linear laser transmitter is parallel to the projection plane; and the view field of the first infrared camera and the view field of the second infrared camera cover the projection plane and an aerial gesture recognition area. By using the recognition system for multi-point touch and gesture movement capturing in the three-dimensional space, the shortcoming that the present gesture recognition is based on a computer display is overcome. The recognition system for aerial gestures can be conveniently applied to the fields such as speech presentation by projectors, and is high in recognition precision.

Description

[0001] technical field [0002] The present invention relates to an intelligent recognition system, based on multi-cameras, a method for sensing hand gestures and positions using infrared light irradiation, and in particular to a recognition method and system for multi-touch and capturing gesture movements in three-dimensional space. [0003] Background technique [0004] Over the years, with the popularization and development of multimedia technology, people have been unremittingly exploring new human-computer interaction technology. The use of limbs, gestures and other intuitive ways to complete computer manipulation has become a technology hotspot. The human hand is a complex executive mechanism with high flexibility, rich expressiveness, and fine manipulation. However, these characteristics also make hand recognition and tracking of gestures a major challenge in computer research. [0005] Recognition of hand movement can be achieved through ...

AI Technical Summary

Problems solved by technology

Relatively speaking, the hardware of computer vision is relatively simple, only one camera is needed, but the single camera has the problem of low recognition accuracy

[0009] At present, there is no human-computer interaction technology in the market that can realize multi-touch, image tracking and scanning, and air gesture recognition of plane virtual images simultaneously in three-dimensional space.

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