MOUSE GESTURE RECOGNITION METHOD AND APPARATUS

WIPO Patent Application WO/2018/145316

A1

Disclosed in the present invention is a mouse gesture recognition method. The method comprises: detecting a mouse gesture inputted by a user by means of a mouse operation, and obtaining a mouse gesture image to obtain an image to be recognized; preprocessing the image to be recognized, so as to obtain a feature vector of the image to be recognized; and inputting the feature vector into a pre-trained BP neural network, so as to obtain a recognized character. The present invention also provides a mouse gesture recognition apparatus. In the mouse gesture recognition method and apparatus provided in the present invention, by using artificial intelligence of a BP neural network, a feature vector of a preprocessed mouse gesture image is inputted into a trained BP neural network, and accordingly, the recognition result can be obtained. Accordingly, due to the advantages of the BP neural network, such as distributed information storage, information parallel processing, information self-organizing and self-learning, mouse information inputted by a user can be processed in time, a great deal of training ensures the recognition precision; in addition, the mouse gesture recognition method and apparatus can be also applied in various types of application programs, thereby greatly improving user experience.

ZHANG XIAOMIN (CN)
LUO JIAN (CN)
HAN RONGHUA (CN)
TANG CHANJUAN (CN)

PCT/CN2017/073382

August 16, 2018

February 13, 2017

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SHENZHEN HUADEE TECH CO LTD (CN)

G06F3/01

CN102854982A	2013-01-02
CN102508547A	2012-06-20
CN101408824A	2009-04-15
CN104484115A	2015-04-01
CN105138169A	2015-12-09
US20110304573A1	2011-12-15

SHENZHEN KEGUAN INTELLECTUAL PROPERTY AGENCY CO., LTD (CN)

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