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Fall detection system for elderly people using IoT and ensemble machine learning algorithm

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Fall detection system for elderly people using IoT and ensemble machine learning algorithm

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Yacchirema, D.; Suárez De Puga, J.; Palau Salvador, CE.; Esteve Domingo, M. (2019). Fall detection system for elderly people using IoT and ensemble machine learning algorithm. Personal and Ubiquitous Computing. 23(5-6):801-817. https://doi.org/10.1007/s00779-018-01196-8

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Title: Fall detection system for elderly people using IoT and ensemble machine learning algorithm
Author: Yacchirema, Diana Suárez de Puga, Jara Palau Salvador, Carlos Enrique Esteve Domingo, Manuel
UPV Unit: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Issued date:
Abstract:
[EN] Falls represent a major public health risk worldwide for the elderly people. A fall not assisted in time can cause functional impairment in an elderly and a significant decrease in his mobility, independence, and life ...[+]
Subjects: Fall detection , Internet of Things , 6LowPAN , IoT gateway , Ensemble learning algorithm , Random Forest , Accelerometer sensor , Elderly people
Copyrigths: Cerrado
Source:
Personal and Ubiquitous Computing. (issn: 1617-4909 )
DOI: 10.1007/s00779-018-01196-8
Publisher:
Springer-Verlag
Publisher version: https://doi.org/10.1007/s00779-018-01196-8
Project ID:
info:eu-repo/grantAgreement/EC/H2020/687283/EU/Interoperability of Heterogeneous IoT Platforms/
info:eu-repo/grantAgreement/EC/H2020/732679/EU/ACTivating InnoVative IoT smart living environments for AGEing well/
Thanks:
Research presented in this article has been partially funded by Horizon 2020 European Project grant INTER-IoT no. 687283, ACTIVAGE project under grant agreement no. 732679, the Escuela Politecnica Nacional, Ecuador, and ...[+]
Type: Artículo

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