Dataset for Human Activity Classification with MU-MIMO BFI and CSI

Citation Author(s):
Khandaker Foysal
Haque
Northeastern University
Submitted by:
Khandaker Foysa...
Last updated:
Tue, 11/12/2024 - 05:15
DOI:
10.21227/0jfk-eb09
License:
Creative Commons Attribution
84 Views
Categories:
Artificial Intelligence
Wireless Networking
Machine Learning
Keywords:
Huamn Activity Classification, Wi-Fi sensing, WiFi Beamforming Feedback (BFI), Beamforming Feedback Angles (BFAs), CSI
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Abstract 

This dataset offers both Channel State Information (CSI) and Beamforming Feedback Information (BFI) data for human activity classification, featuring 20 distinct activities performed by three subjects across three environments. Collected in both line-of-sight (LoS) and non-line-of-sight (NLoS) scenarios, this dataset enables researchers to explore the complementary roles of CSI and BFI in activity recognition and environmental characterization.

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