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

Active Publication Date: 2019-10-08
UNIV OF JINAN
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  • Claims
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AI Technical Summary

Problems solved by technology

[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 "u

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Embodiment Construction

[0029] In order to clearly illustrate the technical features of the solution of the present invention, the solution will be further elaborated below in conjunction with the accompanying drawings and through specific implementation methods.

[0030] Such as Figure 1 to Figure 2 As shown in , a micro-gesture recognition method uses a receipt glove as an input device, and the data glove can obtain the rotation angle data of 15 joints, through which it can obtain such as image 3 For the rotation angle data of the 15 joints shown, the serial numbers correspond to the joints as follows: 1~3: three joints of the thumb from bottom to top; 4~6: three joints of the index finger from bottom to top; 7~9: middle finger Three joints from bottom to top; 10-12: three joints from bottom to top of ring finger; 13-15: three joints from bottom to top of little finger. The present invention includes the following steps:

[0031] a. First perform data preprocessing, and use the least squares met...

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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.

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...

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Application Information

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IPC IPC(8): G06K9/00G06F3/01
CPCG06F3/017G06F3/014G06V40/28
Inventor 孙元功郭小沛冯志全
Owner UNIV OF JINAN
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