FMCW radar and inertial sensing synergy for assisted living

FMCW radar and inertial sensing synergy for assisted living

This study presents preliminary results about the multi-sensory recognition of indoor daily activities and fall detection, to monitor the well-being of older people at risk of physical and cognitive chronic health conditions. Five different sensors, continuous wave (CW) radar, frequency-modulated CW...

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Bibliographic Details
Main Authors: Haobo Li, Aman Shrestha, Francesco Fioranelli, Julien Le Kernec, Hadi Heidari
Format: Article
Language:English
Published: Wiley 2019-09-01
Series:The Journal of Engineering
Subjects:
cw radar
cognition
gyroscopes
accelerometers
support vector machines
fm radar
statistical analysis
image classification
tested subjects
suitable sensor combinations
unknown subjects
random cross-validation
improved statistical approach
quadratic-kernel support vector machine classifier
individual sensor
unnecessary computation
classification accuracy
inertial measurement unit
cw
cognitive chronic health conditions
physical health conditions
older people
fall detection
indoor daily activities
multisensory recognition
assisted living
inertial sensing synergy
fmcw radar
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0558

Internet

https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0558

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