Human Activity Recognition based on Wi-Fi CSI Data -A Deep Neural Network Approach

Author:

Zhuravchak Andrii,Kapshii Oleg,Pournaras Evangelos

Publisher

Elsevier BV

Subject

General Engineering

Reference23 articles.

1. “A Look at the Recent Wireless Positioning Techniques With a Focus on Algorithms for Moving Receivers,”;Tahat;IEEE Access,2016

2. “Radio Tomographic Imaging with Wireless Networks,”;Wilson;IEEE Transactions on Mobile Computing,2010

3. “Proof of witness presence: Blockchain consensus for augmented democracy in smart cities,”;Pournaras;Journal of Parallel and Distributed Computing,2020

4. “Mining social interactions in privacy-preserving temporal networks,”;Musciotto,2016

5. “3D Tracking via Body Radio Reflections,”;Adib,2013

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1. Evaluation of the Informativeness of Features in Datasets for Continuous Verification;Informatics and Automation;2024-01-11

2. Hand Movement Velocity Estimation From WiFi Channel State Information;2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP);2023-12-10

3. Leveraging WiFi Channel State Information for Efficient and Reliable Device-Free Human Activity Recognition;2023 IEEE 6th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech);2023-11-21

4. Channel state information-based fall detection using IoT devices;Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023);2023-10-20

5. A CSI Dataset for Wireless Human Sensing on 80 MHz Wi-Fi Channels;IEEE Communications Magazine;2023-09

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