Recognizing Emergencies and Multi-User Behavior Patterns Using Imperfect Data From Distributed Access Points. A Non-Intrusive Proof of Concept-Reference-Cited by-同舟云学术

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Recognizing Emergencies and Multi-User Behavior Patterns Using Imperfect Data From Distributed Access Points. A Non-Intrusive Proof of Concept

Published:2023 Issue: Volume:11 Page:91234-91246
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Manzanilla-Salazar Orestes G.¹^ORCID,Mellah Hakim¹^ORCID,Sansò Brunilde¹^ORCID

Affiliation:

1. Electrical Engineering Department, Ecole Polytechnique de Montreal, Montreal, Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10223266.pdf?arnumber=10223266

Reference45 articles.

1. TensorBeat

2. Contextualizing human dynamics: Understanding the semantics of movement trajectories with Wi-Fi data

3. PhaseBeat: Exploiting CSI Phase Data for Vital Sign Monitoring with Commodity WiFi Devices

4. An Ambient Intelligence-Based Human Behavior Monitoring Framework for Ubiquitous Environments

5. From Fresnel Diffraction Model to Fine-grained Human Respiration Sensing with Commodity Wi-Fi Devices

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