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Behavior recognition method based on wearable device and human skeleton

A technology of human skeleton and wearable device, which is applied in the field of behavior recognition based on wearable device and human skeleton to achieve the effect of correcting irregular movements and improving detection robustness

Pending Publication Date: 2021-11-09
国网福建省电力有限公司营销服务中心 +2
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem of identifying the actions of workers in the job site, prevent accidents caused by irregular actions, and provide a behavior recognition method based on wearable devices and human skeletons

Method used

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  • Behavior recognition method based on wearable device and human skeleton
  • Behavior recognition method based on wearable device and human skeleton
  • Behavior recognition method based on wearable device and human skeleton

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Embodiment Construction

[0073] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0074] figure 1 Shown is a schematic flow chart of a behavior recognition method based on a wearable device and a human skeleton provided in an embodiment; a behavior recognition method based on a wearable device and a human skeleton provided in an embodiment includes the following steps:

[0075] (1) Obtain the overall behavior status of the human body based on wearable devices:

[0076] Pref...

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Abstract

The invention relates to a behavior recognition method based on wearable equipment and a human skeleton. The method includes the following steps: (1) acquiring an overall behavior state of a human body based on wearable equipment; (2) acquiring human skeleton information based on a depth camera; (3) extracting spatial features of the human skeleton through a graph convolutional network; (4) extracting time sequence information of the skeleton sequence by using a long-short-term memory network; (5) fusing the space information extracted by the GCNN and the time sequence information extracted by the LSTM; and (6) carrying out classification and identification through an SVM classifier, and identifying specific behaviors of the human body. According to the invention, the wearable device is utilized to obtain the overall position and motion condition of the human body, the deep learning network model is utilized to identify and classify the human skeleton information, and thereby the human behaviors are accurately identified.

Description

technical field [0001] The invention belongs to the fields of construction monitoring technology and computer vision, and more specifically relates to a behavior recognition method based on wearable devices and human skeletons. Background technique [0002] The revival of neural network theory has promoted the rapid development of artificial intelligence technology. In today's society, intelligent robots and driverless cars are about to enter people's lives. Intelligent transportation, intelligent video surveillance and smart cities all require computers to automatically analyze human behavior. At present, the depth camera technology combined with high-precision human skeleton estimation algorithm can directly provide the skeleton sequence corresponding to the human body movement process, based on which the human behavior can be accurately recognized. [0003] The traditional behavior recognition algorithm based on human skeleton sequence is mainly to design a classifier a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/049G06N3/08G06N3/045G06F18/2411G06F18/214G06F18/253
Inventor 黄天富金淼赖国书李建新郭志伟张军吴志武张颖陈习文王春光周志森伍翔卢冰汪泉聂高宁王旭
Owner 国网福建省电力有限公司营销服务中心
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