Utilization of Micro-Doppler Radar to Classify Gait Patterns of Young and Elderly Adults: An Approach Using a Long Short-Term Memory Network

Utilization of Micro-Doppler Radar to Classify Gait Patterns of Young and Elderly Adults: An Approach Using a Long Short-Term Memory Network

To develop a daily monitoring system for early detection of fall risk of elderly people during walking, this study presents a highly accurate micro-Doppler radar (MDR)-based gait classification method for the young and elderly adults. Our method utilizes a time-series of velocity corresponding to le...

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Bibliographic Details
Main Authors: Sora Hayashi, Kenshi Saho, Keitaro Shioiri, Masahiro Fujimoto, Masao Masugi
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sensors
Subjects:
Doppler radar
gait classification
machine learning
LSTM
Online Access:https://www.mdpi.com/1424-8220/21/11/3643

Internet

https://www.mdpi.com/1424-8220/21/11/3643

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