A Blanket Accommodative Sleep Posture Classification System Using an Infrared Depth Camera: A Deep Learning Approach with Synthetic Augmentation of Blanket Conditions

A Blanket Accommodative Sleep Posture Classification System Using an Infrared Depth Camera: A Deep Learning Approach with Synthetic Augmentation of Blanket Conditions

Surveillance of sleeping posture is essential for bed-ridden patients or individuals at-risk of falling out of bed. Existing sleep posture monitoring and classification systems may not be able to accommodate the covering of a blanket, which represents a barrier to conducting pragmatic studies. The o...

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Bibliographic Details
Main Authors: Andy Yiu-Chau Tam, Bryan Pak-Hei So, Tim Tin-Chun Chan, Alyssa Ka-Yan Cheung, Duo Wai-Chi Wong, James Chung-Wai Cheung
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Sensors
Subjects:
sleep posture recognition
convolutional neural network
sleep disorder
sleep behavior
sleep monitoring
sleep surveillance
Online Access:https://www.mdpi.com/1424-8220/21/16/5553

Internet

https://www.mdpi.com/1424-8220/21/16/5553

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