Cited by 100Context-Aware Activity Recognition SystemsIndoor and Outdoor Localization TechnologiesHuman Mobility and Location-Based Analysis

Towards occupant activity driven smart buildings via WiFi-enabled IoT devices and deep learning

Zou, Han, Zhou, Yuxun, Yang, Jianfei, Spanos, Costas J.·2018·Energy and Buildings

Integrity signals

Registry

Crossref · 10.1016/j.enbuild.2018.08.010

Cites

60 of 60 references verified0 citation errors · 0 not checkable

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  • Occupancy detection represents an opportunity for ML algorithms, ranging from decision trees to deep neural networks using various inputs.

    “Moreover, occupancy detection itself represents an opportunity for ML algorithms, ranging from decision trees [193,882] to deep neural networks [896] that take input from occupancy sensors [193], WiFi signals [896,897], or appliance power consumption data [882].”

    From Tackling climate change with machine learning (2023) · cites this paper as [896]

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Authors
Zou, H., Zhou, Y., Yang, J., & Spanos, C. J.
Affiliations
  • University of California, Berkeley (US)
  • Nanyang Technological University (SG)
Corresponding author
Zhou, Yuxun
Venue
Energy and Buildings
Publisher
Elsevier BV
Published
2018-10
Volume
177
Pages
12-22
ISSN
0378-7788 (ISSN-L)
OpenAlex
W2885580664
Cited by
100
References
60
Citations by year
2025: 8 · 2024: 10 · 2023: 9 · 2022: 17 · 2021: 19 · 2020: 26 · 2019: 11
FWCI
7.01
Type
journal article
Language
en
Open access
closed
Locations
Energy and Buildings (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Indoor and Outdoor Localization Technologies
  • Social Sciences › Transportation › Human Mobility and Location-Based Analysis
Keywords
human activity recognition, smart buildings, WiFi channel state information, Internet of Things, long-term recurrent convolutional network, autoencoder, indoor positioning, energy efficiency, occupant behavior

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