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Behavior recognition method and system based on human skeleton extraction technology

A technology of human skeleton and recognition method, which is applied in the field of behavior recognition, can solve the problems of slow recognition speed, poor scalability, limited and other problems, and achieve the effects of easy prediction of human behavior, improvement of accuracy, and easy recognition and analysis

Pending Publication Date: 2021-03-16
南京代威科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] At present, the existing technology uses traditional accelerometers, gyroscopes, etc. to recognize human behaviors, such as placing sensors on certain parts of the human body. This method recognizes the types of human behaviors is very limited, and the recognition accuracy is not high , the recognition speed is slow, the recognition behavior is single, and the scalability is poor

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  • Behavior recognition method and system based on human skeleton extraction technology
  • Behavior recognition method and system based on human skeleton extraction technology

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Embodiment 1

[0031] see figure 1 , figure 1Shown is a schematic flowchart of a behavior recognition method based on the human skeleton extraction technology provided by the embodiment of the present application. Establish a human body model based on human body characteristics and behavioral characteristics, and extract the speed change characteristics of each joint point, the geographical coordinate change characteristics of the human body, the angle characteristics between different joints, and the relative coordinate change characteristics between different joint points according to the above human body model; Using the above-mentioned speed change characteristics of the human body, the above-mentioned geographical coordinate changes, the above-mentioned angle characteristics and the above-mentioned relative coordinate change characteristics to carry out machine learning through the back-propagation algorithm neural network to establish a neural network system model, and use the above-me...

Embodiment 2

[0049] see figure 2 , figure 2 Shown is a schematic diagram of the principle of a behavior recognition system based on the human skeleton extraction technology provided by the embodiment of the present application. The behavior recognition system based on human skeleton extraction technology includes data modeling module, feature extraction module, deep learning module and behavior recognition module. Wherein, these components can be electrically connected to each other through one or more communication buses or signal lines, so as to realize data transmission or interaction. The above-mentioned data modeling module is used to establish a human body model through human body characteristics and behavioral characteristics, and the above-mentioned feature extraction module is used to extract the speed change characteristics of each joint point, the geographical coordinate change characteristics of the human body, and the angle between different joints according to the above-me...

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Abstract

The invention provides a behavior recognition method and system through a human skeleton extraction technology, and relates to the field of behavior recognition. A behavior recognition method througha human skeleton extraction technology comprises the following steps: establishing a human body model through human body features and behavior features, extracting speed change characteristics of eachjoint point, geographic coordinate change characteristics of a human body, included angle characteristics among different joints and relative coordinate change characteristics among different joint points according to the human body model; carrying out machine learning through a back propagation algorithm neural network by utilizing the speed change characteristics, the geographic coordinate change characteristics, the included angle characteristics and the relative coordinate change characteristics of the human body to establish a neural network system model, and carrying out behavior recognition by utilizing the neural network system model; in addition, the invention further provides a behavior recognition system based on the human skeleton extraction technology, accompanying of peoplecan be met, and the precision of human behavior recognition is improved.

Description

technical field [0001] The present invention relates to the field of behavior recognition, in particular to a method and system for behavior recognition through human skeleton extraction technology. Background technique [0002] Human skeleton extraction has always been a very important research topic in the field of computer vision. It is of great significance to extract the information of human skeleton. First, the recognition of the human skeleton can monitor the movement behavior of the human body, from which we can know the posture and behavior of the human body. The skeleton information can be used as an intermediate information to help understand more complex human motion behavior, for example: leg skeleton information can be used for human gait analysis. [0003] Human body behavior recognition is the core of home care, especially for patients, the elderly and children. The behavior of the human body is very complex, and the same behavior will have different perfor...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06N3/04G06N3/08
CPCG06N3/084G06V40/25G06V10/44G06N3/045
Inventor 糜佳王建新代宁
Owner 南京代威科技有限公司
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