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EmbraceNet for Activity: A Deep Multimodal Fusion Architecture for Activity Recognition

Human activity recognition using multiple sensors is a challenging but promising task in recent decades. In this paper, we propose a deep multimodal fusion model for activity recognition based on the recently proposed feature fusion architecture named EmbraceNet.

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Cite this as

Jun-Ho Choi, Jong-Seok Lee (2024). Dataset: EmbraceNet for Activity: A Deep Multimodal Fusion Architecture for Activity Recognition. https://doi.org/10.57702/pb68s5pp

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.1145/3341162.3344871
Author	Jun-Ho Choi
More Authors	Jong-Seok Lee
Homepage	https://ieeexplore.ieee.org/document/8671111