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A real-time behavior recognition system based on Lora and Capsule and a working method thereof

A technology for identifying systems and behaviors, applied in character and pattern recognition, neural learning methods, instruments, etc., can solve problems such as misjudgment, reduce the accuracy of behavior recognition, and not consider spatial characteristics, and achieve the effect of improving accuracy

Active Publication Date: 2019-03-08
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This is mainly because the existing mainstream algorithms only consider whether the behavior information contains certain features, but do not consider the spatial characteristics of these features, so to a certain extent, it will cause misjudgment and reduce the accuracy of behavior recognition.

Method used

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  • A real-time behavior recognition system based on Lora and Capsule and a working method thereof
  • A real-time behavior recognition system based on Lora and Capsule and a working method thereof
  • A real-time behavior recognition system based on Lora and Capsule and a working method thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0119] A real-time behavior recognition system based on Lora and Capsule, such as figure 1 As shown, it includes the physical layer of behavior information, the access layer of behavior information, the platform layer of behavior information, and the application layer of behavior information connected in sequence;

[0120] The physical layer of behavior information is used to: perceive, collect, store, and transmit user behavior information from the environment. Behavior information includes: acceleration, angular velocity, heart rate;

[0121] The behavior information access layer is used to: network and transmit the collected behavior information through the Lora technology in the low-power wide-area Internet of Things;

[0122] The behavior information platform layer is used to: perform uncertainty detection, standardization, and time-series-based interception on behavior information in turn, train the behavior information collection with labels under the built network arch...

Embodiment 2

[0126] A kind of real-time behavior recognition system based on Lora and Capsule according to embodiment 1, such as figure 2 As shown, the difference is that

[0127] The physical layer of behavior information is the behavior information collection module. The behavior information collection module includes a sensor module and several intelligent hardware modules; the sensor module includes several different types of sensors, and the intelligent hardware modules are respectively connected to several different types of sensors. Sensors perceive different types of user behavior information and store the perceived behavior information.

[0128] In the behavior information collection module, the selection of sub-modules and the design of smart devices are carried out through the QoD parameters, application scenarios and user requirements of each sub-module. The QoD parameters mainly include the sampling frequency, service life, and accuracy of the sensor module.

[0129]The inte...

Embodiment 3

[0143] The real-time behavior recognition system and working method thereof based on Lora and Capsule described in embodiment 2, such as image 3 As shown, taking the recognition of fighting behavior as an example, criminals in prisons may be slightly different from ordinary people in terms of psychology and physiology, and may have extreme behaviors in terms of dealing with problems. In order to prevent serious impact and harm caused by excessive behavior, the system uses the acceleration sensor S1, angular velocity sensor S2, and heart rate sensor S3 to obtain the behavior information of criminals in a day. After information preprocessing, the credibility of the information is improved, and then through training model for real-time behavior recognition. Prison managers can set different parameters for real-time behavior recognition according to different scenarios and different criminals. Specific steps include:

[0144] Step S01: Acquiring QoD parameters

[0145] The mai...

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Abstract

The invention relates to a real-time behavior recognition system based on Lora and Capsule and a working method thereof. The system comprises a behavior information physical layer, a behavior information access layer, a behavior information platform layer and a behavior information application layer. The invention adopts Lora node and Lora base station to transmit behavioral information in the behavioral information access layer, and realizes long-distance and low-power consumption behavioral information transmission. By dealing with the inconsistency and incompleteness of behavioral information, the credibility of behavioral information is improved; the Capsule is used to automatically acquire useful features and that spatial relation between features for behavior recognition, and the accuracy is greatly improved.

Description

technical field [0001] The invention relates to a real-time behavior recognition system based on Lora and Capsule and a working method thereof, belonging to the technical field of artificial intelligence and pattern recognition. Background technique [0002] The behavior recognition system is a system that realizes behavior through a reasonable model by obtaining human behavior information. With the development and maturity of advanced technologies such as the Internet of Things, artificial intelligence, big data, and cloud computing, more and more scholars have begun to pay attention to the research of behavior recognition. Behavior recognition has become a hot research direction in the field of artificial intelligence and pattern recognition research, and the development of wearable devices provides a good opportunity for human behavior recognition. Today, human behavior recognition technology has been initially applied in fields such as games, human motion analysis, smar...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/24G06F18/214Y02D30/70
Inventor 许宏吉石磊鑫陈敏张贝贝李梦荷
Owner SHANDONG UNIV
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