State-of-the-Art Wearable Sensors and Possibilities for Radar in Fall Prevention

被引:16
作者
Arganaras, Jose Gabriel [1 ]
Wong, Yan Tat [1 ,2 ]
Begg, Rezaul [3 ]
Karmakar, Nemai Chandra [1 ]
机构
[1] Monash Univ, Elect & Comp Syst Engn Dept, Clayton, Vic 3800, Australia
[2] Monash Univ, Physiol Dept, Clayton, Vic 3168, Australia
[3] Victoria Univ, Inst Hlth & Sport, Melbourne, Vic 3032, Australia
基金
澳大利亚研究理事会;
关键词
wearables; radar; wireless; smart shoes; sensor network; gait analysis; fall prevention; GAIT ANALYSIS; DOPPLER RADAR; OLDER-ADULTS; RISK-FACTORS; SYSTEM; HOME; CLASSIFICATION; INTERVENTION; PARAMETERS; CLEARANCE;
D O I
10.3390/s21206836
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Radar technology is constantly evolving, and new applications are arising, particularly for the millimeter wave bands. A novel application for radar is gait monitoring for fall prevention, which may play a key role in maintaining the quality of life of people as they age. Alarming statistics indicate that one in three adults aged 65 years or older will experience a fall every year. A review of the sensors used for gait analysis and their applications to technology-based fall prevention interventions was conducted, focusing on wearable devices and radar technology. Knowledge gaps were identified, such as wearable radar development, application specific signal processing and the use of machine learning algorithms for classification and risk assessment. Fall prevention through gait monitoring in the natural environment presents significant opportunities for further research. Wearable radar could be useful for measuring gait parameters and performing fall risk-assessment using statistical methods, and could also be used to monitor obstacles in real-time.
引用
收藏
页数:23
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