SleepPoseNet: Multi-View Learning for Sleep Postural Transition Recognition Using UWB

SleepPoseNet: Multi-View Learning for Sleep Postural Transition Recognition Using UWB

Recognizing movements during sleep is crucial for the monitoring of patients with sleep disorders, and the utilization of ultra-wideband (UWB) radar for the classification of human sleep postures has not been explored widely. This study investigates the performance of an off-The-shelf single antenna...

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Bibliographic Details
Main Authors: Kumchaiseemak, N. (Author), Lakhan, P. (Author), Leelaarporn, P. (Author), Mukhopadhyay, S.C (Author), Niparnan, N. (Author), Pianpanit, T. (Author), Piriyajitakonkij, M. (Author), Suwajanakorn, S. (Author), Warin, P. (Author), Wilaiprasitporn, T. (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:
adult
Antennas
article
body position
Broadband networks
Classification (of information)
clinical article
contactless sensing
Convolution neural network
convolutional neural network
Data augmentation
deep learning
Deep neural networks
female
human
Human activity recognition
human experiment
Humans
male
Multi-view learning
Novel applications
Posture
Radar
sleep
Sleep
Sleep monitoring
sleep posture
Sleep research
telecommunication
Time and frequencies
Time series
time series analysis
Time-series data
Ultra wideband radars
Ultra-wideband (UWB)
UWB radar
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