SEAbIRD: Adaptable Daily Living Activity Identification from Sensor Data Streams-Reference-Cited by-同舟云学术

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SEAbIRD: Adaptable Daily Living Activity Identification from Sensor Data Streams

Published:2018 Issue: Volume:130 Page:939-946
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Molano-Pulido José,Jiménez-Guarín Claudia

Publisher

Elsevier BV

Subject

General Engineering

Reference19 articles.

1. “The future of global ageing.”;Palacios;Int. J. Epidemiol.,2002

2. “Population Aging: Facts, Challenges, and Responses”;Bloom;PGDA Work. Pap.,2011

3. Technologies for Active Aging. London;Powell,2013

4. World Health Organization, “Noncommunicable diseases,” 2017. [Online]. Available: http://www.who.int/mediacentre/factsheets/fs355/en/. [Accessed: 19-May-2017].

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