A Vision-Based System for In-Bed Posture Tracking
ICCV 2017
Pages: 1373 - 1382
Published: Oct 1, 2017
Abstract
Tracking human sleeping postures over time provides critical information to biomedical research including studies on sleeping behaviors and bedsore prevention. In this paper, we introduce a vision-based tracking system for pervasive yet unobtrusive long-term monitoring of in-bed postures in different environments. Once trained, our system generates an in-bed posture tracking history (iPoTH) report by applying a hierarchical inference model on...
Paper Details
Title
A Vision-Based System for In-Bed Posture Tracking
Published Date
Oct 1, 2017
Pages
1373 - 1382
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