Towards Improved Human Action Recognition Using Convolutional Neural Networks and Multimodal Fusion of Depth and Inertial Sensor Data-Reference-Cited by-同舟云学术

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Towards Improved Human Action Recognition Using Convolutional Neural Networks and Multimodal Fusion of Depth and Inertial Sensor Data

Published:2018-12 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE International Symposium on Multimedia (ISM)
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Author:

Ahmad Zeeshan,Khan Naimul

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8603129/8603241/08603294.pdf?arnumber=8603294

Cited by 17 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

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2. A Dual-Modal Human Activity Recognition System Based on Deep Learning and Data Fusion;2024 7th International Conference on Artificial Intelligence and Big Data (ICAIBD);2024-05-24

3. Spatio‐temporal attention modules in orientation‐magnitude‐response guided multi‐stream CNNs for human action recognition;IET Image Processing;2024-04-22

4. Multilevel Stress Assessment From ECG in a Virtual Reality Environment Using Multimodal Fusion;IEEE Sensors Journal;2023-12-01

5. CCA-Based Fusion of Camera and Radar Features for Target Classification Under Adverse Weather Conditions;Neural Processing Letters;2023-04-13

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