Cloud storage gesture recognition system and method based on improved classification algorithm

A classification algorithm and gesture recognition technology, which is applied in the field of cloud storage and gesture recognition, can solve the problems of recognizing complex gestures and other short boards

Pending Publication Date: 2020-06-02
山东汇贸电子口岸有限公司
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Problems solved by technology

[0005] Although there are many types of gesture classification algorithms, most gesture classification algorithms s

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  • Cloud storage gesture recognition system and method based on improved classification algorithm
  • Cloud storage gesture recognition system and method based on improved classification algorithm
  • Cloud storage gesture recognition system and method based on improved classification algorithm

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Embodiment Construction

[0071] In order to enable those skilled in the art to better understand the solutions of the present invention, the present invention will be further described in detail below in conjunction with specific embodiments. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts fall within the protection scope of the present invention.

[0072] A preferred embodiment is given below:

[0073] Such as figure 1 , 2 As shown, the cloud storage gesture recognition system based on the improved classification algorithm in this embodiment includes a data acquisition layer, a feature extraction layer, a gesture recognition layer, a gesture classification layer, a storage layer, a basic management layer, an application interface layer and an access layer connected in sequence. Flo...

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Abstract

The invention relates to the field of cloud storage and gesture recognition, and particularly provides a cloud storage gesture recognition system and method based on an improved classification algorithm. Compared with the prior art, the cloud storage gesture recognition system based on the improved classification algorithm comprises a data acquisition layer, a feature extraction layer, a gesture recognition layer, a gesture classification layer, a storage layer, a basic management layer, an application interface layer and an access layer which are connected in sequence. An improved KNN classification algorithm used in a gesture recognition layer and a gesture classification layer is used, a KNN classification algorithm is combined with a cloud storage technology, and a large amount of gesture data can be efficiently and completely stored by storing the gesture data on the cloud platform, so application and personalized services can be more conveniently provided for users, and the method has a good popularization value.

Description

technical field [0001] The invention relates to the fields of cloud storage and gesture recognition, and specifically provides an improved classification algorithm and a cloud storage gesture recognition system. Background technique [0002] Gesture, as one of the most common, natural and direct communication voices, is widely used by humans. Gesture recognition, as one of the important branches of pattern recognition, has been widely studied. At present, there are many researches on gesture classification algorithms at home and abroad, such as: [0003] (1) Machine learning classification algorithms, such as: random forest algorithm, Markov model, K-nearest neighbor classifier and support vector machine (Support Vector Machine, SVM), etc. [0004] (2) Deep learning classification algorithms, such as: Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). [0005] Although there are many types of gesture classification algorithms, most gesture classifica...

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Application Information

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IPC IPC(8): G06K9/62G06F21/62G06F21/60G06F3/01
CPCG06F21/6218G06F21/604G06F3/017G06F2221/2141G06F18/211G06F18/24147G06F18/214
Inventor 李菲菲高传集于昊李凯赵益鑫冯建奎
Owner 山东汇贸电子口岸有限公司
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