Exploiting Multiple Receivers for CSI-Based Activity Classification Using A Hybrid CNN-LSTM Model
Author:
Affiliation:
1. Department of Architecture, College of Architecture, Texas A&M
2. Department of Construction Science, College of Architecture, Texas A&M
3. End-to-End Networked System Department, Nokia Bell Labs
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3360773.3360878
Reference13 articles.
1. Wi-chase: A WiFi based human activity recognition system for sensorless environments
2. Assessment of Activities of Daily Living in Dementia: Development of the Bristol Activities of Daily Living Scale
3. CSI-Based Device-Free Wireless Localization and Activity Recognition Using Radio Image Features
4. HuAc: Human Activity Recognition Using Crowdsourced WiFi Signals and Skeleton Data
5. Tool release
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3. CSI-based cross-scene human activity recognition with incremental learning;Neural Computing and Applications;2023-02-28
4. CSI-based location-independent Human Activity Recognition with parallel convolutional networks;Computer Communications;2023-01
5. Few-shot Learning for Human Activity Recognition Based on CSI;2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML);2022-03
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