ABOUT Widar

Sensing in a wireless, sensorless, contactless style.


Data Set Overview

0
Domain
0
Gesture
0 minutes
Duration
0 GB
File Size

Body-coordinate Velocity Profile
Domain-independent feature

Domain-1
orientation #1
position #1
environment #1
CSI_domain1 DFS_domain1 BVP_domain1
CSI in Domain-1 DFS in Domain-1 BVP in Domain-1
Domain-2
orientation #2
position #2
environment #2
CSI_domain2 DFS_domain2 BVP_domain2
CSI in Domain-2 DFS in Domain-2 BVP in Domain-2

BVP VISUALIZATION

  • All
  • Push&Pull
  • Sweep
  • Clap
  • Slide
  • Draw Circle
  • Draw Zigzag

DOWNLOAD

Data and code download methods:
Baidu Disk  (password: 4m47)
FTP(FileZilla client recommended): widarftp@166.111.80.127:40121 (password: widar2019)

RELATED PUBLICATIONS

  1. Yue Zheng, Yi Zhang, Kun Qian, Guidong Zhang, Yunhao Liu, Chenshu Wu, Zheng Yang "Widar3.0: Zero-Effort Cross-Domain Gesture Recognition With Wi-Fi", ACM MobiSys, 2019. [PDF]
  2. Kun Qian, Chenshu Wu, Yi Zhang, Guidong Zhang, Zheng Yang, Yunhao Liu, "Widar2.0: Passive Human Tracking with a Single Wi-Fi Link", ACM MobiSys, 2018. [PDF]
  3. Kun Qian, Chenshu Wu, Zheng Yang, Yunhao Liu, Kyle Jamieson, "Widar: Decimeter-Level Passive Tracking via Velocity Monitoring with Commodity Wi-Fi", ACM MobiHoc, Chennai, India, July 10-14, 2017. [PDF]
  4. Kun Qian, Chenshu Wu, Zimu Zhou, Yue Zheng, Zheng Yang, Yunhao Liu, "Inferring Motion Direction using Commodity Wi-Fi for Interactive Exergames" ,ACM CHI, Denver, USA, May 6-11, 2017. (Best Paper Honorable Mention Award) [PDF]

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