Simulation study of deep-learning-based gait classification of young/elderly adults using Doppler radar

Simulation study of deep-learning-based gait classification of young/elderly adults using Doppler radar

Deep-learning-based gait classification of young and elderly adults using micro-Doppler radar (MDR) is presented in this paper. The MDR signal data were accurately simulated using an open motion-capture gait dataset, and deep-learning classification of the time-velocity distribution (i.e., spectrogr...

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Bibliographic Details
Main Authors: Toshiyuki Hoshiga, Kenshi Saho, Keitaro Shioiri, Masahiro Fujimoto, Yoshiyuki Kobayashi
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Measurement: Sensors
Subjects:
Gait classification
Micro-Doppler
Deep learning
Convolutional neural network
Spectrogram
Online Access:http://www.sciencedirect.com/science/article/pii/S2665917421000660

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http://www.sciencedirect.com/science/article/pii/S2665917421000660

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