Learning gestures from WiFi: a Siamese recurrent convolutional architecture

Learning gestures from WiFi: a Siamese recurrent convolutional architecture

We propose a gesture recognition system that leverages existing WiFi infrastructures and learns gestures from Channel State Information (CSI) measurements. Having developed an innovative OpenWrt-based platform for commercial WiFi devices to extract CSI data, we propose a novel deep Siamese represent...

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Bibliographic Details
Main Authors: Yang, Jianfei, Zou, Han, Zhou, Yuxun, Xie, Lihua
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Electrical and electronic engineering
Channel State Information
Gesture Recognition
Online Access:https://hdl.handle.net/10356/162593

Internet

https://hdl.handle.net/10356/162593

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