Radar and RGB-Depth Sensors for Fall Detection: A Review

被引:148
作者
Cippitelli, Enea [1 ]
Fioranelli, Francesco [2 ]
Gambi, Ennio [1 ]
Spinsante, Susanna [1 ]
机构
[1] Univ Politecn Marche, Dept Informat Engn, I-60131 Ancona, Italy
[2] Univ Glasgow, Sch Engn, Glasgow G12 8QQ, Lanark, Scotland
关键词
Radar sensors; RGB-D sensors; micro-Doppler; fall detection; human movements analysis; ambient assisting living; feature extraction and classification; MICRO-DOPPLER CLASSIFICATION; FEATURE-SELECTION; WEARABLE SENSORS; HUMAN MOVEMENT; DATA FUSION; RECOGNITION; SIGNATURES; SYSTEM; INFORMATION; FEATURES;
D O I
10.1109/JSEN.2017.2697077
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper reviews recent works in the literature on the use of systems based on radar and RGB-Depth (RGB-D) sensors for fall detection, and discusses outstanding research challenges and trends related to this research field. Systems to detect reliably fall events and promptly alert carers and first responders have gained significant interest in the past few years in order to address the societal issue of an increasing number of elderly people living alone, with the associated risk of them falling and the consequences in terms of health treatments, reduced well-being, and costs. The interest in radar and RGB-D sensors is related to their capability to enable contactless and non-intrusive monitoring, which is an advantage for practical deployment and users' acceptance and compliance, compared with other sensor technologies, such as video-cameras, or wearables. Furthermore, the possibility of combining and fusing information from The heterogeneous types of sensors is expected to improve the overall performance of practical fall detection systems. Researchers from different fields can benefit from multidisciplinary knowledge and awareness of the latest developments in radar and RGB-D sensors that this paper is discussing.
引用
收藏
页码:3585 / 3604
页数:20
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