Location-Aided Activity Recognition from Channel State Information with Deep Cross-Modal Learning
Author:
Affiliation:
1. University of Toronto,Department of Electrical & Computer Engineering,Toronto,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9816065/9816173/09816257.pdf?arnumber=9816257
Reference16 articles.
1. Channel state information–based multi-level fingerprinting for indoor localization with deep learning
2. Multimodal Transformer for Unaligned Multimodal Language Sequences
3. Factorized multimodal transformer for multimodal sequential learning;zadeh,2019
4. What makes training multi-modal classification networks hard;wang,2019
5. Channel Estimation Method Based on Transformer in High Dynamic Environment
Cited by 1 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. A Domain Adaptation Framework for Human Activity Monitoring Using Passive Wi-Fi Sensing;2023 IEEE 5th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA);2023-10-07
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