Attention-Based Convolutional Neural Network and Bidirectional Gated Recurrent Unit for Human Activity Recognition
Author:
Funder
National Key R&D Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9421351/9421352/09421662.pdf?arnumber=9421662
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. STA‐HAR: A Spatiotemporal Attention‐Based Framework for Human Activity Recognition;Applied Computational Intelligence and Soft Computing;2024-01
2. A Novel Deep Multifeature Extraction Framework Based on Attention Mechanism Using Wearable Sensor Data for Human Activity Recognition;IEEE Sensors Journal;2023-04-01
3. Retracted: Software based sentiment analysis of clinical data for healthcare sector;IET Software;2023-02-07
4. A Transferable Framework for Few-Shot Human Activity Recognition;Advances in Artificial Intelligence and Security;2022
5. Human Activity Recognition in Thermal Infrared Imaging Based on Deep Recurrent Neural Networks;2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI);2021-10-23
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