Widar3.0 Dataset: Zero-Effort Cross-Domain Gesture Recognition with Wi-Fi

This repository hosts the data and code for paper Zero-Effort Cross-Domain Gesture Recognition with Wi-Fi published in ACM MobiSys 2019.This dataset includes the Channel State Information (CSI) data collected from commodity Wi-Fi devicesnbsp;for gesturesnbsp;and Body-coordinate Velocity Profile (BVP) datanbsp;calculated by the algorithms from the above mentioned paper.Also included in this repository is the data for paper GaitID: Robust WiFi Based Gait Recognition published in Springer WASA 2020.Please stay tuned for further updates.

本仓库收录了发表于ACM MobiSys 2019会议的论文《基于Wi-Fi的零开销跨域手势识别》所配套的数据与代码。本数据集包含由商用Wi-Fi设备采集的手势相关信道状态信息（Channel State Information，CSI）数据，以及通过上述论文中的算法计算得到的身体坐标系速度剖面（Body-coordinate Velocity Profile，BVP）数据。本仓库同时收录了发表于Springer WASA 2020会议的论文《GaitID：基于Wi-Fi的鲁棒步态识别》所配套的数据。敬请关注后续更新。