Efficient Thermal Pose Estimation: Balancing Accuracy and Edge Deployment for Smart Home Activity Recognition

This study investigates efficient thermal-image human pose estimation under edge deployment constraints for smart home activity recognition. A single-person thermal dataset of 2500 images was collected and annotated with 17 body keypoints. YOLO11-pose and YOLOv8-pose models were trained and evaluate...

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Autors principals:	Gabriela Vdoviak, Tomyslav Sledevič, Vytautas Abromavičius, Dalius Navakauskas, Artūras Kaklauskas
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2026-03-01
Col·lecció:	Sensors
Matèries:	pose detection keypoints detection thermal images convolutional neural networks Jetson GPU
Accés en línia:	https://www.mdpi.com/1424-8220/26/6/1774
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