Human body posture identification method and system

Abstract

The invention provides a human body posture identification method and system, and belongs to the technical field of security engineering. The method comprises the following steps of (1) at least collecting six parameters, including linear acceleration and angular acceleration, of a human body in X, Y and Z directions of space; (2) analyzing data features presented by the parameters, and selectingt data statistics features for each type of data as condition attributes for judging human body postures, wherein t is an integer greater than 1; (3) extracting the data statistics features of a dataset under various human body postures to form a sample set, and dividing the sample set into training samples and test samples; (4) according to the training samples and the test samples, building a decision tree classification model; and (5) based on the decision tree classification model, performing real-time classification on collected data to identify the human body postures. The human body posture identification method and system is high in identification accuracy, high in identification speed, high in adaptability to multiple input samples, and strong in robustness; and output of a classification result has high error tolerance.

Description

technical field [0001] The invention belongs to the technical field of safety engineering, and relates to a recognition technology, in particular to a human body posture recognition technology. Background technique [0002] With the increasing population aging and the increasing number of empty-nesters, the problem of personal injury caused by falls of the elderly has become increasingly prominent. According to statistics, falls have become the fourth leading cause of injury death in my country, and the first cause of injury death among the elderly over 65 years old, and the death rate of falls further increases with the increase of the age of the elderly. In addition to directly causing the death of the elderly, falls also produce a large number of disabilities, reduce the activity capacity and range of activities of the elderly, and seriously affect the quality of life and physical and mental health of the elderly. [0003] There are many methods of human motion posture r...

AI Technical Summary

Problems solved by technology

This method uses the weightlessness and overweight that appear sequentially in the acceleration time series data during the fall process and the threshold of the corresponding statistical domain or transformation domain to detect falls, and the accuracy and robustness of fall detection are not high.

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