Micro-gesture recognition method

A gesture recognition and gesture technology, applied in the field of gesture recognition and micro-gesture recognition, can solve the problems of increasing user interaction load, difficult to maintain recognition accuracy, easy to produce fatigue, etc., to achieve the effect of accurate data and low time complexity
CN110309726AActive Publication Date: 2019-10-08UNIV OF JINAN
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
UNIV OF JINAN
Publication Date
2019-10-08

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Abstract

The invention provides a micro-gesture recognition method, taking a data glove as input equipment, wherein the data glove can obtain rotation angle data of m joints. The micro-gesture recognition method comprises the following steps: a, firstly, carrying out data preprocessing, and carrying out curve fitting processing on the obtained data by using a least square method; b, carrying out gesture modeling, so that each gesture is represented by a discrete sub-sequence SLZ containing m elements; and c, carrying out gesture recognition, and carrying out gesture matching and recognition by using anediting distance based on template matching. According to the micro-gesture recognition method, the identification direction of the fine actions of the steering fingers is identified from traditionallarge-amplitude actions such as palms and arms, and a more natural and harmonious solution is provided for human-computer interaction in a universal environment.
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Description

technical field

[0001] The present invention relates to the technical field of image recognition, in particular to a gesture recognition method, in particular to a micro gesture recognition method. Background technique

[0002] Gesture manipulation based on traditional human-computer interaction methods has the problems of poor interactivity and low accuracy, and it is easy to increase the user's operation load. Therefore, gesture interaction based on touch technology has become a hot research topic at present. With the popularization and application of mobile devices such as smartphones, watches, and tablets, finger-based touch input has become the main input method for many mobile computing devices [1,2,3].

[0003] Whether it is gesture recognition based on vision or gesture recognition based on wearable devices, most current research and application technologies require users to perform complex and large-scale hand and arm movements, so that the machine can "see" and "un...

Claims

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