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 devices for gestures and Body-coordinate Velocity Profile (BVP) data 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.

本仓库托管了发表于ACM MobiSys 2019的论文《基于Wi-Fi的零成本跨域手势识别》（Zero-Effort Cross-Domain Gesture Recognition with Wi-Fi）的数据与代码。该数据集包含从商用Wi-Fi设备采集的用于手势识别的信道状态信息（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速度轮廓（Body-coordinate Velocity Profile，BVP）数据。本仓库还包含发表于Springer WASA 2020的论文《GaitID：基于Wi-Fi的鲁棒步态识别》（GaitID: Robust WiFi Based Gait Recognition）的数据。敬请关注后续更新。