Xplaces: Segmenting Physical Space Through Wi-Fi Traces Using Eigendecomposition and X-Means-Reference-Cited by-同舟云学术

Xplaces: Segmenting Physical Space Through Wi-Fi Traces Using Eigendecomposition and X-Means

Published:2022 Issue: Volume:10 Page:17377-17388
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Chaikul Sunsika¹,Phithakkitnukoon Santi¹^ORCID,Ratti Carlo²

Affiliation:

1. Department of Computer Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand

2. SENSEable City Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA

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/ielx7/6287639/9668973/09707773.pdf?arnumber=9707773

Reference30 articles.

1. Weather Effects on the Patterns of People's Everyday Activities: A Study Using GPS Traces of Mobile Phone Users

2. The Innovation Journey of Wi-Fi

3. Eigenplaces: Segmenting Space through Digital Signatures

4. Mapping the MIT campus in real time using WiFi;sevtsuk;Handbook of Research on Urban Informatics The Practice and Promise of the Real-Time City,2008

5. Effectiveness of using WiFi technologies to detect and predict building occupancy

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