license: gpl-3.0
tags:
- wifi
- mimo
- wireless-sensing
- CSI
- Beamforming-Feedback-Information
pretty_name: BeamSense
size_categories:
- 100B<n<1T
BeamSense: MU-MIMO Beamforming Feedback Dataset for Wi-Fi Sensing
Dataset Summary
BeamSense is a large-scale MU-MIMO Wi-Fi sensing dataset built upon Beamforming Feedback Information (BFI) and Channel State Information (CSI) collected from commodity 802.11ac devices. The dataset corresponds to the research presented in:
BeamSense: Rethinking Wireless Sensing with MU-MIMO Wi-Fi Beamforming Feedback (Computer Networks, 2025)
BFA-Sense: Learning Beamforming Feedback Angles for Wi-Fi Sensing (PerCom Workshops, 2024)
BeamSense contains synchronized BFI, BF angles, and CSI samples from multiple Wi-Fi stations (STAs) under different environments and orientations. It is designed for:
- Human activity recognition with Beamforming Feedback Information (BFI) and CSI
- Gesture recognition with Beamforming Feedback Information (BFI) and CSI
- Device-free sensing with BFI
- Cross-domain generalization
- Beamforming Feedback analysis
- Beamforming Feedback-based attacks
- Wi-Fi sensing algorithm development
Dataset Contents
- Raw Beamforming Feedback Packet Captures: Contains BF report packets (BFI), and PHY metadata
- Synchronized CSI: Extracted from PCAPs using Nexmon-modified pipelines
- Synchronized BFI and CSI
Multi-Environment, Multi-Day Collection:
- Includes data from: Office, Classroom, and Kitchen environments
- LOS and NLOS cases
- Multiple days of data collection
- 3 Different human subjects perform 20 different activities in multiple environments and orientations
- Spatially diverse data from multiple STAs
How To Use
Download the Dataset
Download the dataset with
hf download foysalhaque/BeamSense \
--repo-type dataset \
--local-dir your_directory/BeamSense_HF
You will have a directory structure like
your_directory/BeamSense_HF/
BeamSense_Dataset_aa
BeamSense_Dataset_ab
BeamSense_Dataset_ac
...
README.md
data.json
These BeamSense_Dataset_aa, BeamSense_Dataset_ab, … files are split parts of one large ZIP file.
Move into the download directory with cd your_directory/BeamSense_HF/ and Combine all pieces into one ZIP with
cat BeamSense_Dataset_* > BeamSense_Dataset.zip. This produces a large file which is around 180 GB.
Extract the combined ZIP with unzip BeamSense_Dataset.zip -d BeamSense_Data
MATLAB BFI Extraction
./Feedback_split_STAs.sh
cd BFI_Extraction
matlab -nojvm -nosplash -r "pcap_to_bfa; exit"
matlab -nojvm -nosplash -r "bfa_to_batches; exit"
MATLAB CSI Extraction
cd CSI_Extraction
matlab -nojvm -nosplash -r "Extract_CSI; exit"
matlab -nojvm -nosplash -r "CSI_to_batches; exit"
Citation
If you find our work and the dataset useful, please cite the following works:
@article{haque2025beamsense,
title={BeamSense: Rethinking wireless sensing with MU-MIMO Wi-Fi beamforming feedback},
author={Haque, Khandaker Foysal and Zhang, Milin and Meneghello, Francesca and Restuccia, Francesco},
journal={Computer Networks},
pages={111020},
year={2025},
publisher={Elsevier}
}
@inproceedings{haque2024bfa,
title={BFA-Sense: Learning Beamforming Feedback Angles for Wi-Fi Sensing},
author={Haque, Khandaker Foysal and Meneghello, Francesca and Restuccia, Francesco},
booktitle={2024 IEEE International Conference on Pervasive Computing and Communications Workshops},
pages={575--580},
year={2024},
organization={IEEE}
}
Contact
For dataset questions or access issues:
K. Foysal Haque
Northeastern University
Email: haque.k@northeastern.edu