Detection and classification real-time of fall events from the daily activities of human using forward scattering radar

Detection and classification real-time of fall events from the daily activities of human using forward scattering radar

Detection and identification of various human activities that have concurrently performed by two individuals or more is a crucial task of elderly assisted living systems. Fall is the biggest problem which may threaten the older people's life aged 65 and above, therefore, the real-time detection...

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Bibliographic Details
Main Authors: Abdullah, R.S.A.R (Author), Alnaeb, A. (Author), Knott P. (Author), Pasya, I. (Author), Rashid, N.E.A (Author), Salah, A.A (Author), Sali, A. (Author)
Format: Article
Language:English
Published: IEEE Computer Society 2019
Subjects:
Assisted living
Classification performance
Classification results
Detection and identifications
elderly fall detection
Elderly falls
Forward scattering
forward scattering radar
Frequency domain analysis
Geriatrics
Motion characteristics
Real time
real-time classification
Short time Fourier transforms
support vector machine
Support vector machines
time-frequency domain analysis
Time-frequency domain analysis
Tracking radar
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