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To compare graph convolutional networks and YOLO for detecting human falls using infrared imaging.

May 6, 2026Sensors0 citationsOpen Access

Comparing AI Methods for Human Fall Detection Using Infrared Imaging

Human Fall Detection with Infrared Imaging: A Comparison of Graph Convolutional Networks and YOLO

Authors

This comparative analysis shows object detection and classification in elderly care, highlighting implications for healthcare monitoring systems.

To compare graph convolutional networks and YOLO for detecting human falls using infrared imaging.
Analyzed human fall events with graph convolutional networks and YOLO.
Evaluated GCN's classification accuracy using skeletal data.
Tested YOLOv8 on real-time infrared video frames.
Graph convolutional networks achieved over 99% classification accuracy.
Demonstrated effective real-time detection capabilities of YOLOv8.
Proposed a hybrid framework combining strengths of both AI methods.

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Perliński et al. (2026) studied this question.

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May 6, 2026Sensors0 citationsOpen Access

Human Fall Detection with Infrared Imaging: A Comparison of Graph Convolutional Networks and YOLO

Authors

This comparative analysis shows object detection and classification in elderly care, highlighting implications for healthcare monitoring systems.

To compare graph convolutional networks and YOLO for detecting human falls using infrared imaging.
Analyzed human fall events with graph convolutional networks and YOLO.
Evaluated GCN's classification accuracy using skeletal data.
Tested YOLOv8 on real-time infrared video frames.
Graph convolutional networks achieved over 99% classification accuracy.
Demonstrated effective real-time detection capabilities of YOLOv8.
Proposed a hybrid framework combining strengths of both AI methods.

Ask AI

Helpful

Bookmark

View Full Paper

Perliński et al. (2026) studied this question.

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Helpful

Bookmark

View Full Paper