Fusion of Unobtrusive Sensing Solutions for Home-Based Activity Recognition and Classification Using Data Mining Models and Methods
This paper proposes the fusion of Unobtrusive Sensing Solutions (USSs) for human Activity Recognition and Classification (ARC) in home environments. It also considers the use of data mining models and methods for cluster-based analysis of datasets obtained from the USSs. The ability to recognise and...
Main Authors: | Idongesit Ekerete, Matias Garcia-Constantino, Alexandros Konios, Mustafa A. Mustafa, Yohanca Diaz-Skeete, Christopher Nugent, James McLaughlin |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-09-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/19/9096 |
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