传感器与微系统2024,Vol.43Issue(2) :7-11,16.DOI:10.13873/J.1000-9787(2024)02-0007-05

老年人跌倒检测系统及其检测方法的研究进展

Research progress of elderly fall detection systems and its detection methods

蔡敏雅 秦会斌
传感器与微系统2024,Vol.43Issue(2) :7-11,16.DOI:10.13873/J.1000-9787(2024)02-0007-05

老年人跌倒检测系统及其检测方法的研究进展

Research progress of elderly fall detection systems and its detection methods

蔡敏雅 1秦会斌1
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作者信息

  • 1. 杭州电子科技大学电子信息学院新型电子器件与应用研究所,浙江杭州 310018
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摘要

意外跌倒是老年人受伤和死亡的主要原因,因此对跌倒智能化检测系统的研究不断增多.本文将跌倒检测系统分为4 个类别:可穿戴类、室内非图像类、室内图像类和混合类.阐述了各类的技术特点,并总结了系统中所用传感器.此外,介绍了检测跌倒的主要流程和内容,对跌倒判定的主要方法阈值分析法和机器学习进行说明.最后,分析了跌倒检测系统存在的不足.在未来,随着不断改进,跌倒检测系统将具有广阔的应用前景.

Abstract

Accidental falls are the main cause of injuries and deaths of the elderly.Therefore,researches on fall intelligent detection systems increase unceasingly.Fall detection systems are classified into four categories:wearable,indoor non-image,indoor image,and hybrid systems.Technical feature of each category is explained and various sensors used in fall detection systems are summarized.In addition,main process and content of fall detection are introduced.The main methods for fall determination,threshold analytical method and machine learning are stated.Finally,the shortcomings of the fall detection system are analyzed.In the future,with continuous improvement,fall detection systems will have broad application prospects.

关键词

跌倒检测/老年人/行为识别/机器学习

Key words

fall detection/the elderly/behavior recognition/machine learning

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出版年

2024
传感器与微系统
中国电子科技集团公司第四十九研究所

传感器与微系统

CSTPCD北大核心
影响因子:0.61
ISSN:1000-9787
参考文献量14
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