Indirect Recognition of Predefined Human Activities.
activity recognition
artificial neural network
classification
deep learning
intelligent buildings
logistic regression
prediction
smart homes
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
26 Aug 2020
26 Aug 2020
Historique:
received:
31
07
2020
revised:
19
08
2020
accepted:
25
08
2020
entrez:
30
8
2020
pubmed:
30
8
2020
medline:
26
3
2021
Statut:
epublish
Résumé
The work investigates the application of artificial neural networks and logistic regression for the recognition of activities performed by room occupants. KNX (Konnex) standard-based devices were selected for smart home automation and data collection. The obtained data from these devices (Humidity, CO
Identifiants
pubmed: 32859035
pii: s20174829
doi: 10.3390/s20174829
pmc: PMC7506661
pii:
doi:
Substances chimiques
Carbon Dioxide
142M471B3J
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : European Regional Development Fund in the Research Centre of Advanced Mechatronic Systems project
ID : CZ.02.1.01/0.0/0.0/16 019/0000867
Organisme : Student Grant System of VSB Technical University of Ostrava
ID : SP2020/151
Déclaration de conflit d'intérêts
The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.
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