Evaluation of convolutional neural networks for the classification of falls from heterogeneous thermal vision sensors
The automatic detection of falls within environments where sensors are deployed has attracted considerable research interest due to the prevalence and impact of falling people, especially the elderly. In this work, we analyze the capabilities of non-invasive thermal vision sensors to detect falls us...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2020-05-01
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Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1177/1550147720920485 |