Abstract

According to statistics, falls are the primary cause of injury or death for the elderly over 65 years old. About 30% of the elderly over 65 years old fall every year. Along with the increase in the elderly fall accidents each year, it is urgent to find a fast and effective fall detection method to help the elderly fall.The reason for falling is that the center of gravity of the human body is not stable or symmetry breaking, and the body cannot keep balance. To solve the above problem, in this paper, we propose an approach for reorganization of accidental falls based on the symmetry principle. We extract the skeleton information of the human body by OpenPose and identify the fall through three critical parameters: speed of descent at the center of the hip joint, the human body centerline angle with the ground, and width-to-height ratio of the human body external rectangular. Unlike previous studies that have just investigated falling behavior, we consider the standing up of people after falls. This method has 97% success rate to recognize the fall down behavior.

Highlights

  • The decline of birth rate and the prolongation of life span lead to the aging of the population, which has become a worldwide problem [1]

  • Fan et al [33] proposed a novel fall detection method based on vision; this method is used to describe the human body posture to analyze extraction

  • The problem of low accuracy or high false positives is widespread in the fall detection system with a single sensor, which means that other information is needed to improve the accuracy of the system

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Summary

Introduction

The decline of birth rate and the prolongation of life span lead to the aging of the population, which has become a worldwide problem [1]. Falls make the elderly suffer moderate or severe injuries, and bring a mental burden and economic pressure to the elderly and their relatives [6]. Faced with this situation, it is important to quickly and effectively detect the fall of the elderly and provide emergency assistance. It is important to quickly and effectively detect the fall of the elderly and provide emergency assistance In a word, it is extremely important for those who fall and cannot call for help to be found in time and to be treated.

Skeleton Estimation
Fall Detection
Context-Based
RF-Based Fall Detection
Sensor Fusion-Based Fall Detection
Methods
OpenPose Gets the Skeleton Information of the Human Body
Decision
When considered satisfying decision condition three of the occurrence
Determine
Experiment Data and Test
The height and weight data of
Analysis of the Experimental Results
Conclusions

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