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A multi-scale feature extraction fusion model for human activity recognition

2022-08-12

Abstract excerpt

Human Activity Recognition (HAR) is an important research area in human-computer interaction and pervasive computing. In recent years, many deep learning (DL) methods have been widely used for HAR, and due to their powerful automatic feature extraction capabilities, they achieve better recognition performance than traditional methods and are applicable to more general scenarios. However, the problem is that DL met...

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Literature Corpus work
0b6ab7e8-7561-5390-956e-41228d6c0b64
DOI
10.21203/rs.3.rs-1933621/v1
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A multi-scale feature extraction fusion model for human activity recognitionDOI 10.21203/rs.3.rs-1933621/v1
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