Real-time accurate non-contact gesture recognition method and system based on RFID system

A gesture recognition and non-contact technology, which is applied in the field of Internet of Things, can solve the problems of long time consumption, high time complexity, and affecting the recognition accuracy, so as to shorten the recognition time and ensure the recognition accuracy.

Active Publication Date: 2019-10-01
CENT SOUTH UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

From our understanding, the time complexity of the algorithm is relatively high, and the specific time complexity will be analyzed later. It takes a long time to match the template and has a high lag
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  • Real-time accurate non-contact gesture recognition method and system based on RFID system
  • Real-time accurate non-contact gesture recognition method and system based on RFID system
  • Real-time accurate non-contact gesture recognition method and system based on RFID system

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Embodiment Construction

[0042] (1) Required hardware equipment

[0043]The hardware that needs to be used in our system includes the following: the impinj Speedway reader, the circularly polarized Laird S9028PCR antenna and the passive tag with the built-in Monza chip model AZ-9654. The reader needs to work through an external power supply. The other end includes 4 antenna ports, through which one port is connected to the antenna with a feeder to send signals to the tag. The tag uses the received signal as energy and communicates with the reader through the reflected signal. The above constitutes the RFID system module. The reader is connected to the PC through the Ethernet port using a network cable, and it is used as an input device of our system to obtain user's gesture information.

[0044] (2) Required software equipment

[0045] We use the Java development environment, import the OctaneSDKJava-1.22.0.30 jar package in the MyEclipse software, and write the code to control our RFID system in th...

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Abstract

The invention discloses a real-time accurate non-contact gesture recognition method and system based on an RFID system, and the method comprises the steps: a reader-writer collecting a gesture signalfrom a user, and the gesture signal comprising a timestamp and a phase value; preprocessing and gesture segmentation are carried out on the gesture signal; extracting coarse-grained statistical characteristics and fine-grained wavelet transformation characteristics of the signals subjected to gesture segmentation processing to construct a classifier of the system; and inputting the acquired data into the constructed classifier, and predicting the gesture. According to the invention, the identification time is greatly shortened, and the identification precision is ensured.

Description

technical field [0001] The present invention is mainly applied to the field of the Internet of Things, RFID technology, gesture recognition, and machine learning fields, especially a real-time, accurate and contactless gesture recognition method and system based on the RFID system. Background technique [0002] With the development of computer technology, computers have brought earth-shaking changes to our lives in all aspects. People are already inseparable from computers, and the information interaction Human-Machine Interface (HMI) [5] between people and computers is very important. The most common way of interaction in human-computer interaction is through simple mechanical devices, such as keyboards and mice, and touch screens. Although the above-mentioned methods are in the mainstream position in our current life, we still can't help but think about whether we want a more natural and human-computer interaction method that is more in line with human habits. [0003] S...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/28G06F18/24323Y02D30/70
Inventor 张士庚杨程伟王建新
Owner CENT SOUTH UNIV
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