Activity recognition with cooperative radar systems at C and K band

Activity recognition with cooperative radar systems at C and K band

Remote health monitoring is a key component in the future of healthcare with predictive and fall risk estimation applications required in great need and with urgency. Radar, through the exploitation of the micro-Doppler effect, is able to generate signatures that can be classified automatically. In...

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Bibliographic Details
Main Authors: Aman Shrestha, Haobo Li, Francesco Fioranelli, Julien Le Kernec
Format: Article
Language:English
Published: Wiley 2019-08-01
Series:The Journal of Engineering
Subjects:
support vector machines
doppler radar
pattern classification
feature extraction
cooperative communication
feature selection
radar imaging
health care
radar computing
cooperative radar systems
salient features
support vector machine classifier
indoor human activities
microdoppler effect
risk estimation applications
remote health monitoring
activity recognition
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0559

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0559

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