Object Detection for Contactless Vital Signs Estimation
This thesis explores the contactless estimation of people’s vital signs. We designed two camera-based systems and applied object detection algorithms to locate the regions of interest where vital signs are estimated. With the development of Deep Learning, Convolutional Neural Network (CNN) model has...
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| Format: | Others |
| Language: | en |
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Université d'Ottawa / University of Ottawa
2021
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| Online Access: | http://hdl.handle.net/10393/42297 http://dx.doi.org/10.20381/ruor-26519 |