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Gesture identification method based on recursive model

A gesture recognition and gesture technology, applied in the field of gesture recognition, can solve the problems of incomparable sequence point data values ​​and different lengths of gesture space sequences, and achieve the effect of overcoming the unequal length of gesture track sequences and improving robustness

Active Publication Date: 2017-06-13
NORTHWEST UNIV
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Problems solved by technology

[0004] In view of the problems existing in the above-mentioned prior art, the object of the present invention is to provide a gesture recognition method based on a recursive model, which effectively solves the problem that the obtained gesture space sequence has different lengths by converting the gesture space sequence into the form of a recursive model. There are problems caused by incomparability with sequence point data values, thereby improving the robustness of gesture recognition algorithms

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  • Gesture identification method based on recursive model

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Embodiment Construction

[0049] Comply with the above technical solutions, such as Figure 1 to Figure 8 Shown, the present invention discloses a kind of gesture recognition method based on recursive model, comprises the following steps:

[0050] The method proposed in this scheme is applicable to the recognition of static gestures and dynamic gestures. The processing procedures of dynamic gestures and static gestures are different in steps 1 and 2, and the same after step 3. In the following steps, the two It should be noted that dynamic gesture processing and static gesture processing are relatively independent processes. In order to distinguish, a superscript "'" is added after the sub-steps of dynamic gesture processing.

[0051] Step 1, gesture segmentation

[0052] For static gestures:

[0053] Step 1.1, using the camera to collect static gesture images, for the collected gesture images, using the adaptive skin color segmentation method based on YCbCr space to obtain a binary image containing ...

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Abstract

The invention discloses a gesture identification method based on a recursive model. The method comprises the basic steps of: 1, carrying out preprocessing on static and dynamic gesture images; 2, extracting static and dynamic gesture space sequences; 3, according to the gesture space sequences, constructing a gesture recursive model; and 4, by the gesture recursive model, carrying out gesture classification. According to the gesture identification method disclosed by the invention, in a form of converting the gesture space sequences into the recursive model, problems caused by different lengths of acquired gesture space sequences and incomparability of data values of sequence points are effectively solved, and robustness of a gesture identification algorithm is improved.

Description

technical field [0001] The invention belongs to the technical field of gesture recognition, and relates to a gesture recognition method, in particular to a gesture recognition method based on a recursive model. Background technique [0002] In recent years, human-computer interaction based on gesture recognition has been favored for its natural, concise, rich and direct ways, especially vision-based gesture control has been widely used for its flexibility, rich semantic features and strong ability to describe the environment . [0003] In the existing gesture recognition technology, gesture space sequences are commonly used for matching and recognition, but the common problem is that the practicability and robustness are not high, which restricts the application of gesture recognition technology. For example, the neural network method requires a large amount of gesture training data, the Hidden Markov (HMM) method requires the user to wear additional equipment, and the DTW ...

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Application Information

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IPC IPC(8): G06K9/00G06K9/34G06K9/46
CPCG06V40/113G06V40/28G06V10/267G06V10/44
Inventor 卜起荣杨纪争冯筠杨刚
Owner NORTHWEST UNIV
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