A Novel Hybrid Deep Learning Model for Activity Detection Using Wide-Angle Low-Resolution Infrared Array Sensor

In this paper, we propose a deep learning-based technique for activity detection that uses wide-angle low-resolution infrared (IR) array sensors. Alongside with the main challenge which is how to further improve the performance of IR array sensor-based methods for activity detection, throughout this...

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Hlavní autoři:	K. A. Muthukumar, Mondher Bouazizi, Tomoaki Ohtsuki
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2021-01-01
Edice:	IEEE Access
Témata:	Activity detection hybrid deep learning AI healthcare infrared array sensor
On-line přístup:	https://ieeexplore.ieee.org/document/9444392/
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