Gesture recognition method, electronic equipment, computer readable storage medium and chip

Abstract

The invention provides a gesture recognition method, electronic equipment, a computer readable storage medium and a chip, and relates to the field of artificial intelligence, in particular to a human-computer interaction technology in the field of computer vision. The gesture recognition method comprises the following steps: acquiring an image stream, and determining whether a user makes a preparatory action or not according to a plurality of continuous frames of hand images in the image stream; under the condition that the user makes the preparation action, continuously obtaining the image stream, determining the gesture action of the user according to the continuous multiple frames of hand images in the continuously acquired image stream, and then responding to the gesture action to achieve gesture interaction with the user. According to the gesture recognition method and device, the judgment of the preparation action is carried out before the gesture recognition, so that the false recognition in the gesture recognition process can be reduced, and the gesture recognition effect is improved.

Description

technical field [0001] The present application relates to the field of human-computer interaction, and more specifically, to a gesture recognition method, electronic equipment, and a computer-readable storage medium. Background technique [0002] Computer vision is an integral part of various intelligent / autonomous systems in various application fields such as manufacturing, inspection, document analysis, medical diagnosis, and military. What we need is the knowledge of the data and information of the subject being photographed. To put it figuratively, it is to install eyes (cameras / video cameras) and brains (algorithms) on computers to replace human eyes to identify, track and measure targets, so that computers can perceive the environment. Because perception can be thought of as extracting information from sensory signals, computer vision can also be thought of as the science of how to make artificial systems "perceive" from images or multidimensional data. In general, c...

AI Technical Summary

Problems solved by technology

[0006] The above solution mainly relies on the gesture classification detector to identify gestures and non-gestures. However, when using the gesture classifier to classify gestures, some similar gestures made by the user cannot be well distinguished, resulting in gestures. of false positives

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