Method and mobile terminal for automatically recognizing gestures

Abstract

The disclosure discloses a method for automatically recognizing a gesture, which includes: calibrating a touch screen of a mobile terminal, and acquiring and storing a time variation threshold and a distance variation threshold when a finger moves on the touch screen; acquiring touch control information of the finger on the touch screen of the mobile terminal, and pre-processing data of the touch control information acquired; extracting the time variation threshold and the distance variation threshold, and recognizing a gesture according to the pre-processed data, the touch control information and the extracted time variation threshold and distance variation threshold. The disclosure further provides a mobile terminal for automatically recognizing a gesture. According to the technical solution of the disclosure, a gesture of multiple fingers can be quickly, efficiently and automatically recognized.

Description

technical field [0001] The invention relates to gesture recognition technology in the field of mobile terminals, in particular to a method for automatically recognizing gestures and a mobile terminal. Background technique [0002] The rapid development of mobile communication has caused various changes in all aspects of the whole society. At present, mobile terminals have become an indispensable part of most people's lives. In the future, the human-computer interaction of mobile terminals will focus on naturalness, multi-channel, and collaboration, and try to form a multi-channel, multi-mode natural dialogue between users and mobile terminals through natural human communication methods such as gestures, voice, and expressions. , to improve user experience. The user interface (UI, User Interface) of mobile terminals is developing from "technology-centered" to "user-centered", making natural and intuitive natural human-computer interaction an inevitable trend in the developme...

AI Technical Summary

Problems solved by technology

The defect of this method is: the algorithm used by the gesture algorithm processing layer calculates about 35 times per second, so the calculation amount of the gesture algorithm processing layer is relatively large, making the response of the mobile terminal relatively slow; moreover, the processing speed depends on the driver layer. It depends on the reporting frequency, and does not have the ability to make adaptive adjustments based on demand

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