Cloud processing based gesture identification method

A gesture recognition, gesture technology, applied in the field of gesture recognition

Inactive Publication Date: 2016-01-06
BEIJING CHUANGSI BODE TECH CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is that the gesture data of different users cannot be reused in the prior art, the recognition accuracy is difficult to improve, and the technical problems of poor user experience, thus Provide a recognition method that can reuse gesture data of different users and accurately recognize gesture information

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Embodiment Construction

[0033] The present invention will be further described below in conjunction with the embodiment shown in accompanying drawing:

[0034] Such as figure 1 As shown, the corresponding system device of the gesture recognition method of the present invention is composed of three major parts: a gesture signal detection device 1, a local server and a cloud server 4. In this embodiment, the local server includes the user's PC 2 or smartphone3.

[0035] Such as figure 2 As shown, the gesture recognition method based on cloud processing of the present invention comprises the following steps:

[0036] First, through the gesture raw data acquisition module 101 of the gesture signal detection device 1, the raw data of the user's gestures is acquired, specifically, the biological signals and motion signals of the target gesture object are collected through a number of sensing units arranged on the target gesture object; In this embodiment, the sensing units are bioelectric sensors that a...

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Abstract

The invention discloses a cloud processing based gesture identification method. The gesture identification method comprises the steps that: local servers store gesture data subjected to feature extraction and fusion, and upload the gesture data to a cloud server when a device is connected with a network; the local servers establish local gesture models according to the gesture data; and the cloud server receives one or more gesture data uploaded by the local servers, establishes cloud gesture models and updates the gesture model in each local server by utilizing the cloud gesture model. According to the gesture identification method, data set modules, classifier model modules and gesture identification modules are arranged at a local end and a cloud end respectively, so that a user still can perform gesture identification in a network disconnection state, and the method is suitable for a mobile scene in that a network environment changes in real time; and at the same time, the local gesture models in the local servers are updated with the cloud gesture models, so that the gesture identification method provided by the invention is more accurate.

Description

technical field [0001] The present invention relates to gesture recognition, in particular to a gesture recognition method based on cloud processing. Background technique [0002] Gesture is the most widely used way of communication in people's daily life. In recent years, with the rapid development of computer technology, the research of gesture recognition technology has made great progress. Natural and intuitive communication is introduced into the human-machine interface. [0003] The current gesture recognition method basically adopts the following process: the sensor collects user gesture data, and transmits it to a single PC for feature extraction and pattern classification through short-distance communication methods such as Bluetooth. For example, Chinese patent document CN103543826A discloses a gesture recognition based on an acceleration sensor. method. The method first collects the triaxial acceleration sensor signal, designs a smoothing denoising filter to pre...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F3/01
Inventor 姜晓丹刘勤何永振
Owner BEIJING CHUANGSI BODE TECH CO LTD
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