Design and Implementation of a Health Care and Fall Detection System

In response to the aging population, children are lack of time and energy to take care of the daily lives of the elderly due to busy studies and work. How to monitor the safety of elderly people at home has become an important issue. In order to effectively reduce the occurrence of home safety accidents for the elderly, the paper designs a home care system and fall detection for the elderly. The system consists of an STM32 chip, sensor module, alarm module, communication module, etc., which realizes the monitoring of parameters such as heart rate, blood oxygen, and fall behavior of the elderly at home. Once an abnormality occurs, the system would alarm, and the physiological parameter information collected by the sensor, which is sent to the cloud platform through a remote communication module. Guardians can observe the data in the cloud platform APP to take corresponding measures in a timely manner. The system monitors the physiological parameters and behavioral data of elderly people at home, which could be timely care of the elderly, reducing accidents to a certain extent, improving the safety of the elderly's life index, and effectively ensuring family harmony.

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Publication Details

Published
2025-01-10
DOI
https://doi.org/10.1109/citsc64390.2025.00008
Primary Topic
Context-Aware Activity Recognition Systems
Type
article
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article

Design and Implementation of a Health Care and Fall Detection System

Lihong Yan, Han Gao, Xie Zhibo, Yang Tianqi et al.
Context-Aware Activity Recognition Systems
article

Design and Implementation of a Health Care and Fall Detection System

Lihong Yan, Han Gao, Xie Zhibo, Yang Tianqi, Zhang Beichen
article en

Abstract

In response to the aging population, children are lack of time and energy to take care of the daily lives of the elderly due to busy studies and work. How to monitor the safety of elderly people at home has become an important issue. In order to effectively reduce the occurrence of home safety accidents for the elderly, the paper designs a home care system and fall detection for the elderly. The system consists of an STM32 chip, sensor module, alarm module, communication module, etc., which realizes the monitoring of parameters such as heart rate, blood oxygen, and fall behavior of the elderly at home. Once an abnormality occurs, the system would alarm, and the physiological parameter information collected by the sensor, which is sent to the cloud platform through a remote communication module. Guardians can observe the data in the cloud platform APP to take corresponding measures in a timely manner. The system monitors the physiological parameters and behavioral data of elderly people at home, which could be timely care of the elderly, reducing accidents to a certain extent, improving the safety of the elderly's life index, and effectively ensuring family harmony.

Openalex Percentile: Top 95%
Context-Aware Activity Recognition Systems
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Design and Implementation of a Health Care and Fall Detection System — Lihong Yan, Han Gao, et al. · (2025) | TGRS Research Map | TGRS