Device-free human activity microwave detection
Type de document :
Communication dans un congrès avec actes
Titre :
Device-free human activity microwave detection
Auteur(s) :
Haddadi, Kamel [Auteur]
Circuits Systèmes Applications des Micro-ondes - IEMN [CSAM - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Loyez, Christophe [Auteur]
Circuits Systèmes Applications des Micro-ondes - IEMN [CSAM - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]

Circuits Systèmes Applications des Micro-ondes - IEMN [CSAM - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Loyez, Christophe [Auteur]

Circuits Systèmes Applications des Micro-ondes - IEMN [CSAM - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Titre de la manifestation scientifique :
IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2018
Ville :
Anaheim, CA
Pays :
Canada
Date de début de la manifestation scientifique :
2018-01-14
Titre de la revue :
Proceedings of 2018 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2018
Date de publication :
2018
Discipline(s) HAL :
Sciences de l'ingénieur [physics]
Résumé :
This work describes a device-free activity detection method using a 2.45 GHz link associated to a short-time Fourier transform algorithm. Detection of human activities are exemplary demonstrated to validate the proposed ...
Lire la suite >This work describes a device-free activity detection method using a 2.45 GHz link associated to a short-time Fourier transform algorithm. Detection of human activities are exemplary demonstrated to validate the proposed approach considering several scenarios. The simplicity of hardware/software resources and obtained measurement performance show that the technique is a viable cost-efficient solution to address future needs of human activity sensing in the modern society.Lire moins >
Lire la suite >This work describes a device-free activity detection method using a 2.45 GHz link associated to a short-time Fourier transform algorithm. Detection of human activities are exemplary demonstrated to validate the proposed approach considering several scenarios. The simplicity of hardware/software resources and obtained measurement performance show that the technique is a viable cost-efficient solution to address future needs of human activity sensing in the modern society.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Source :