Control method for improving recognition accuracy of exhibition hall gesture recognition system

A technology of gesture recognition and system recognition, applied in character and pattern recognition, input/output process of data processing, input/output of user/computer interaction, etc. High and high environmental requirements, to achieve the effect of improving user experience

Pending Publication Date: 2021-02-19
南京科盈信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Gesture interaction in somatosensory technology is more natural and convenient, so there is a great demand for display in the exhibition hall. However, the gesture recognition system used in the exhibition hall is not practical, and the precision and accuracy of the method of controlling lights and screens is not high. Not only It has high requirements on the environment and needs to be controlled by a large number of gestures, which makes it difficult for users to actually operate

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] A control method for improving the recognition accuracy of an exhibition hall gesture recognition system, the method comprising the following steps:

[0029] (1) Gesture entry: Preset the feature value of each gesture action in the gesture recognition server, then input the gesture model and determine the feature value of the gesture action, and send the gesture action to the gesture recognition server. The user identity information matching the characteristic value is stored. The characteristic value of the gesture action is gesture speed, gesture amplitude and hand characteristics, and the gesture action is preset with corresponding control operations. If the characteristic value satisfies the corresponding preset condition, it is judged User identity information is pre-stored. If any feature value does not meet the corresponding preset conditions, it is determined that there is no pre-stored user identity information. The gesture recognition server creates new user id...

Embodiment 2

[0035] A control method for improving the recognition accuracy of an exhibition hall gesture recognition system, the method comprising the following steps:

[0036] (1) Gesture entry: Preset the feature value of each gesture action in the gesture recognition server, then input the gesture model and determine the feature value of the gesture action, and send the gesture action to the gesture recognition server. The user identity information matching the characteristic value is stored. The characteristic value of the gesture action is gesture speed, gesture amplitude and hand characteristics, and the gesture action is preset with corresponding control operations. If the characteristic value satisfies the corresponding preset condition, it is judged User identity information is pre-stored. If any feature value does not meet the corresponding preset conditions, it is determined that there is no pre-stored user identity information. The gesture recognition server creates new user id...

Embodiment 3

[0042] A control method for improving the recognition accuracy of an exhibition hall gesture recognition system, the method comprising the following steps:

[0043] (1) Gesture entry: Preset the feature value of each gesture action in the gesture recognition server, then input the gesture model and determine the feature value of the gesture action, and send the gesture action to the gesture recognition server. The user identity information matching the characteristic value is stored. The characteristic value of the gesture action is gesture speed, gesture amplitude and hand characteristics, and the gesture action is preset with corresponding control operations. If the characteristic value satisfies the corresponding preset condition, it is judged User identity information is pre-stored. If any feature value does not meet the corresponding preset conditions, it is determined that there is no pre-stored user identity information. The gesture recognition server creates new user id...

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PUM

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Abstract

The invention discloses a control method for improving the recognition accuracy of an exhibition hall gesture recognition system, and the method comprises the following steps: presetting the feature values of all gesture actions in a gesture recognition server, inputting the feature values to a gesture model, determining the feature values of the gesture actions, and transmitting the gesture actions to the gesture recognition server, enabling the gesture recognition server to judge whether user identity information matched with the feature value is pre-stored or not according to the feature value; The control method has the advantages that the user identity information can be determined according to the gesture actions, the equipment can be automatically controlled according to the operation parameters corresponding to the user identity information, the situation that the user frequently uses the gesture actions to set the equipment, and then the user experience can be improved is avoided, and the problems that an existing gesture recognition system is poor in practicability and inconvenient to use, the precision and the accuracy of the method for controlling the light and the screen are not high, and a large number of gesture actions are needed for control, so that a user is relatively difficult in actual operation can be solved.

Description

technical field [0001] The invention relates to the technical field of gesture interaction control, in particular to a control method for improving the recognition accuracy of a gesture recognition system in an exhibition hall. Background technique [0002] The exhibition hall can display the items, which is convenient for exhibitors to appreciate the items. And combined with multimedia equipment, the items are displayed more vividly. As the types and quantities of electronic devices increase and their popularity becomes wider and wider, the human-computer interaction method between users and electronic devices has also developed from simple interaction methods using peripherals such as remote controls, mice, and keyboards to using Voice interaction, somatosensory interaction, eye movement interaction and gesture interaction and other diverse interaction methods. With the development of somatosensory technology, human body movements are used to realize remote control of sm...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F3/01G06K9/00G06K9/62
CPCG06F3/017G06V40/28G06F18/22
Inventor 韩佳卫张为东
Owner 南京科盈信息科技有限公司
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