3DO Dataset | On the Generalization of WiFi-based Person-centric Sensing in Through-Wall Scenarios

On the Generalization of WiFi-based Person-centric Sensing in Through-Wall Scenarios

This repository contains the 3DO dataset proposed in [1].

PyTroch Dataloader

A minimal PyTorch dataloader for the 3DO dataset is provided at: https://github.com/StrohmayerJ/3DO

Dataset Description

The 3DO dataset comprises 42 five-minute recordings (~1.25M WiFi packets) of three human activities performed by a single person, captured in a WiFi through-wall sensing scenario over three consecutive days. Each WiFi packet is annotated with a 3D trajectory label and a class label for the activities: no person/background (0), walking (1), sitting (2), and lying (3). (Note: The labels returned in our dataloader example are walking (0), sitting (1), and lying (2), because background sequences are not used.)

The directories 3DO/d1/, 3DO/d2/, and 3DO/d3/ contain the sequences from days 1, 2, and 3, respectively. Furthermore, each sequence directory (e.g., 3DO/d1/w1/) contains a csiposreg.csv file storing the raw WiFi packet time series and a csiposreg_complex.npy cache file, which stores the complex Channel State Information (CSI) of the WiFi packet time series. (If missing, csiposreg_complex.npy is automatically generated by the provided dataloader.)

Dataset Structure:

/3DO

├── d1 <-- day 1 subdirectory

       └── w1  <-- sequence subdirectory

              └── csiposreg.csv <-- raw WiFi packet time series

              └── csiposreg_complex.npy <-- CSI time series cache

├── d2 <-- day 2 subdirectory

├── d3 <-- day 3 subdirectory

In [1], we use the following training, validation, and test split:

w = walking, s = sitting and l= lying

Note: On each day, we additionally recorded three ten-minute background sequences (b1, b2, b3), which are provided as well.

Download and Use
This data may be used for non-commercial research purposes only. If you publish material based on this data, we request that you include a reference to our paper [1].

[1] Strohmayer, J., Kampel, M. (2025). On the Generalization of WiFi-Based Person-Centric Sensing in Through-Wall Scenarios. In: Pattern Recognition. ICPR 2024. Lecture Notes in Computer Science, vol 15315. Springer, Cham. https://doi.org/10.1007/978-3-031-78354-8_13

BibTeX citation:

@inproceedings{strohmayerOn2025,
   author="Strohmayer, Julian and Kampel, Martin",
   title="On the Generalization of WiFi-Based Person-Centric Sensing in Through-Wall Scenarios",
   booktitle="Pattern Recognition",
   year="2025",
   publisher="Springer Nature Switzerland",
   address="Cham",
   pages="194--211",
   isbn="978-3-031-78354-8"
}