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Shuangjun Liu
Northeastern University
Publications 5
Published on Jan 27, 2019in arXiv: Applied Physics
Despite its ability to draw precise inferences from large and complex datasets, the use of data analytics in the field of condensed matter and materials sciences -- where vast quantities of complex metrology data are regularly generated -- has remained surprisingly limited. Specifically, such approaches could dramatically reduce the engineering complexities of devices that directly exploit the physical properties of materials. Here, we present a cyber-physical system for accurately estimating th...
Published on Oct 1, 2017 in ICCV (International Conference on Computer Vision)
Shuangjun Liu (NU: Northeastern University), Sarah Ostadabbas10
Estimated H-index: 10
(NU: Northeastern University)
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 the top view videos collected from any regular off-th...
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