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Gesture recognition system and method

A gesture recognition and gesture technology, applied in the field of gesture recognition systems, can solve the problems of concentration, monotony and boredom

Active Publication Date: 2014-10-22
SHANGHAI JIAO TONG UNIV
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AI Technical Summary

Problems solved by technology

[0006] In order to overcome the deficiencies in the above-mentioned prior art, the object of the present invention is to provide a gesture recognition system and method, which can complete information input through gesture information when the user cannot or does not want to input information through the touch screen or keyboard. The corresponding tasks enable smartphone users to complete corresponding tasks by simply waving gestures, which brings convenience and fun to users, and avoids the shortcomings of traditional touch screen or keyboard input that need to focus on it. The monotony of typing

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Embodiment Construction

[0045] The implementation of the present invention is described below through specific examples and in conjunction with the accompanying drawings, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific examples, and various modifications and changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention.

[0046] figure 1 It is a system architecture diagram of a gesture recognition system of the present invention. Such as figure 1 As shown, a gesture recognition system of the present invention includes at least: a mobile terminal 10 with acceleration, direction and magnetic field sensors and a model training platform 20 .

[0047] Among them, the mobile terminal 10 with acceleration, direct...

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Abstract

The invention discloses a gesture recognition system and a gesture recognition method. The gesture recognition system at least comprises an intelligent mobile terminal which is provided with accelerated speed, direction and magnetic field sensors, and used to record sensor data of user gestures and extract features, and recognizes the user gestures according to the features by using a training model obtained in training of a model training platform, and further comprises the model training platform which is used to mark and perform normalization processing on the gesture features of the various user gestures, collected by the intelligent mobile terminal, perform feature training study and obtain the training model. The gesture recognition system and the gesture recognition method can input information through gesture information so as to complete corresponding tasks under the circumstance that a user can not or does not want to input the information through a touch screen or a keyboard, and enables a smart phone user to complete the corresponding tasks by simply waving a hand.

Description

technical field [0001] The present invention relates to a gesture recognition system and method, in particular to a gesture recognition system and method based on acceleration, direction and magnetic field sensors of a smartphone. Background technique [0002] With the continuous popularization of smart phones and the continuous improvement of mobile phone performance, portable smart phones have been able to replace the role of computers to a certain extent. For most people, smart phones have become more and more important. Acceleration, direction and magnetic field sensors are basically the standard equipment of every smart phone. They can more accurately capture the perception data around the user and collect the user's behavior data. In many cases, the user cannot or does not want to directly input information through the touch screen or keyboard, so how to know what kind of tasks the user wants the mobile phone to complete at this time? Speech recognition is one method,...

Claims

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Application Information

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IPC IPC(8): G06F3/01
Inventor 朱燕民马海蔚贝泽华龚虹宇
Owner SHANGHAI JIAO TONG UNIV
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