Old people's abnormal behavior detection method based on deep learning

Abstract

The invention proposes an old people's abnormal behavior detection method based on deep learning, which belongs to the deep learning field. According to the invention, a plurality of sensors are used to acquire the body characteristic information, the position information and the image information of an old person so as to determine the abnormal behaviors of the old person in a jointed detection way, reducing the mis-judgment probability. The method comprises: first, based on the data of the plurality of sensors, preprocessing the signal; inputting the processed data to a well-trained BP neural network to obtain the health condition of the old person; then, according to the original image, preprocessing the image and transmitting the image to a 3D convolution neural network to extract characteristic vectors; and through the Softmax classifier recognizing the multiple behaviors by the old person; and in combination of the position information of the old person as well as his or her duration there and according to the fuzzy logic inference, determining whether the behaviors of the old person are abnormal or not. According to the invention, a jointed detection method is utilized, and through the deep learning and the fuzzy logic inference, it is possible to realize jointed judgment about the abnormal behaviors of the old person, which reduces the mis-judgment rate and increases the detection accuracy.

Description

technical field [0001] The invention relates to a method for detecting abnormal behavior of the elderly based on deep learning, belongs to the field of machine learning, and is suitable for a safety monitoring system for the elderly living alone. Background technique [0002] Our country has ushered in the era of rapid population aging, and the problem of providing for the elderly is becoming more and more serious. With the development of our country's economy and the implementation of family planning, the population structure of our country has undergone tremendous changes. In the future society, we cannot rely solely on children to take care of the elderly. When more and more elderly people living alone have abnormal behaviors in their lives, they cannot detect and give early warning in time, which leads to serious consequences. Therefore, the safety monitoring of the elderly living alone can help improve the quality of life of the elderly in their later years and reduce ...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the shortcomings of the existing wearable sensor equipment and video monitoring system for abnormal behavior detection, and propose a method for detecting abnormal behavior of the ...

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