Widar3.0 Dataset: Cross-Domain Gesture Recognition with Wi-Fi
收藏Mendeley Data2024-03-27 更新2024-06-28 收录
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https://ieee-dataport.org/open-access/widar30-dataset-cross-domain-gesture-recognition-wi-fi
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资源简介:
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.
本仓库收录了发表于ACM MobiSys 2019的论文"Zero-Effort Cross-Domain Gesture Recognition with Wi-Fi"(基于Wi-Fi的零工作量跨域手势识别)对应的数据集与代码。该数据集包含从商用Wi-Fi设备采集的手势相关信道状态信息(Channel State Information, CSI),以及由上述论文提出的算法计算得到的身体坐标速度剖面(Body-coordinate Velocity Profile, BVP)数据。本仓库同时收录了发表于Springer WASA 2020的论文"GaitID: Robust WiFi Based Gait Recognition"(GaitID:基于Wi-Fi的鲁棒步态识别)对应的数据集。敬请期待后续更新。
创建时间:
2023-06-28



