Convolutional Block Attention Module–Multimodal Feature-Fusion Action Recognition: Enabling Miner Unsafe Action Recognition

The unsafe action of miners is one of the main causes of mine accidents. Research on underground miner unsafe action recognition based on computer vision enables relatively accurate real-time recognition of unsafe action among underground miners. A dataset called unsafe actions of underground miners...

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Bibliographic Details

Main Authors:	Yu Wang, Xiaoqing Chen, Jiaoqun Li, Zengxiang Lu
Format:	Artigo
Language:	Inglês
Published:	MDPI AG 2024-07-01
Series:	Sensors
Subjects:	intelligent mine computer vision action recognition multimodal feature fusion attention mechanism
Online Access:	https://www.mdpi.com/1424-8220/24/14/4557
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