Widar 3.0: WiFi-based Activity Recognition Dataset

Citation Author(s):: Zheng Yang (School of Software, Tsinghua University)

Yi Zhang (School of Software, Tsinghua University)

Guidong Zhang (School of Software, Tsinghua University)

Yue Zheng (School of Software, Tsinghua University)

Guoxuan Chi (School of Software, Tsinghua University)
Submitted by:: ZHENG YANG
Last updated:: Wed, 03/06/2024 - 13:20
DOI:: 10.21227/7znf-qp86
Links:: Widar 3.0 Homepage

Professor Zheng Yang's Homepage

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CITE

Abstract

The Widar3.0 project is a large dataset designed for use in WiFi-based hand gesture recognition. The RF data are collected from commodity WiFi NICs in the form of Received Signal Strength Indicator (RSSI) and Channel State Information (CSI). The dataset consists of 258K instances of hand gestures with a duration of totally 8,620 minutes and from 75 domains. In addition, two sophisticated features from raw RF signal, including Doppler Frequency Shift (DFS) and a new feature Body-coordinate Velocity Profile (BVP) are included. More kinds of RF-based activity recognition data (e.g., gait identification, fall detection) are going to come. Please stay tuned for further updates.

More details are available at http://tns.thss.tsinghua.edu.cn/widar3.0/. To cite this dataset, the best reference is the paper "Zero-Effort Cross-Domain Gesture Recognition with Wi-Fi" in ACM MobiSys 2019.

Instructions:

Please refer to the README document.

Research

Nayan Bhatia Thu, 02/18/2021 - 07:42 Permalink

Bug list: 1. At the moment there is a bug in CSI_20181130.zip. In Linux, when listing files in 20181130/user5 with -ls, you will come across a file called yumeng-6-4-5-3-r6.dat. This file is supposed to be called user5-6-4-5-3-r6.dat. 2. When downloading all CSI_20181XXX.zip files, unpacking them in a directory, and running ls -lh -R $PWD/directory/ | awk '$5 == 0 {print $5, $9}' in that directory in Linux, you will discover that 7 .dat files are empty: - 20181109/user2/user2-6-4-4-2-r1.dat - 20181109/user3/user3-1-3-1-8-r5.dat - 20181118/user2/user2-3-5-3-4-r4.dat - 20181209/user6/user6-3-1-1-5-r5.dat - 20181211/user8/user8-1-1-1-1-r5.dat - 20181211/user8/user8-3-3-3-5-r2.dat - 20181211/user9/user9-1-1-1-1-r1.dat New .dat files should be provided, or these .dat files, including the .dat files of the other transceiver links, should be removed. The full paths can be extracted via find $PWD/directory/ -type f -size -1k. 3. There are .cfg files in CSI_20181117.zip, more specifically directory /20181117/user4/, that should be removed.

Bram Berlo Sat, 03/27/2021 - 00:21 Permalink

Thank you for your thorough and kind comments. We have fixed these issues in the latest release. 1. The misleading name of the file 20181130/user5/yumeng-6-4-5-3-r6.dat has been corrected. 2. As for the empty files, they are raw data collected from the Wi-Fi receivers and are empty due to packet loss during data collection. We would leave these files unaltered to avoid the misunderstanding of the number of receivers we adopted for data collection. Instead, we highlight these empty files in the README document and recommend the users to skip them when loading data for their applications. 3. We have removed the irrelevant .cfg files in CSI_20181117.zip file. Again, we thank you for the valuable comments. We welcome anyone to propose suggestions or issues to make this dataset easily usable.

Yi Zhang Thu, 04/08/2021 - 08:57 Permalink

Pradeep Kuruku… Wed, 03/24/2021 - 06:02 Permalink

I get an error when I run the BVPExtraction code in 'DVM_main.m': 'Exception OccuredUndefined function 'get_rotated_spectrum' for input arguments of type 'double'.' Is the 'get_rotated_spectrum' function missing or from where can I get it? Thanks in advance!

Dirk Schumacher Thu, 12/30/2021 - 16:58 Permalink

Thank you for your kind reminder. We have updated the files. Should you have any further questions, please feel free to contact me at zhangyithss[AT]gmail[DOT]com.

Yi Zhang Fri, 12/31/2021 - 08:26 Permalink

I am trying to create a 4D matrix from the CSI samples (frames × Rx × subcarriers × antennas). However, the number of frames differs for different receivers (even in the same samples). Therefore, I don't know how to match the frames between the receivers. Here is an example: user1-5-4-2-15-r5.dat no_frames: 2605 user1-5-4-2-15-r2.dat no_frames: 2545 user1-5-4-2-15-r3.dat no_frames: 2615 user1-5-4-2-15-r4.dat no_frames: 2608 user1-5-4-2-15-r1.dat no_frames: 2591 user1-5-4-2-15-r6.dat no_frames: 2610

Borna Barahimi Tue, 02/07/2023 - 00:31 Permalink

In the Gait_Dataset, user5 has a lot of missing data, suspecting compression loss.Please handle

d gd Mon, 09/18/2023 - 08:25 Permalink