MFCANN: A feature diversification framework based on local and global attention for human activity recognition

Author:

Yang Zhixuan,Li Kewen,Huang Zongchao

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Publisher

Elsevier BV

Reference70 articles.

1. Multi-ResAtt: Multilevel residual network with attention for human activity recognition using wearable sensors;Al-qaness;IEEE Trans. Ind. Inform.,2022

2. Energy efficient smartphone-based activity recognition using fixed-point arithmetic;Anguita;J. Univ. Comput. Sci.,2013

3. A public domain dataset for human activity recognition using smartphones;Anguita,2013

4. Faster human activity recognition with SVM;Chathuramali,2012

5. Multi-scale attention convolutional neural network for time series classification;Chen;Neural Netw.,2021

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