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

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.

本数据集提供了信道状态信息（Channel State Information，简称CSI）和波束成形反馈信息（Beamforming Feedback Information，简称BFI）的双重数据，旨在人类活动分类。数据集涵盖了三位受试者在三个不同环境中完成的20种不同活动。该数据集在视距（Line-of-sight，简称LoS）和非视距（Non-line-of-sight，简称NLoS）场景下均进行了收集，为研究者们探索CSI与BFI在活动识别和环境表征中的互补作用提供了可能。