Multimodal monitoring of Parkinson's and Alzheimer's patients using the ICT4LIFE platform

Alvarez Garcia, Federico and Popa, Mirela and Vetros, Nicholas and Belmonte Hernández, Alberto and Asteriadis, Stelios and Solachidis, Vassilis and Mariscal Cortes, Triana and Dotti, Dario and Daras, Petros (2017). Multimodal monitoring of Parkinson's and Alzheimer's patients using the ICT4LIFE platform. In: "2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)", 29/08/2017 - 01/09/2017, Lecce (Italia). ISBN 978-1-5386-2939-0. pp. 404-415. https://doi.org/10.1109/AVSS.2017.8078527.

Description

Title: Multimodal monitoring of Parkinson's and Alzheimer's patients using the ICT4LIFE platform
Author/s:
  • Alvarez Garcia, Federico
  • Popa, Mirela
  • Vetros, Nicholas
  • Belmonte Hernández, Alberto
  • Asteriadis, Stelios
  • Solachidis, Vassilis
  • Mariscal Cortes, Triana
  • Dotti, Dario
  • Daras, Petros
Item Type: Presentation at Congress or Conference (Article)
Event Title: 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
Event Dates: 29/08/2017 - 01/09/2017
Event Location: Lecce (Italia)
Title of Book: Proceedings of 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) 2017
Date: October 2017
ISBN: 978-1-5386-2939-0
Subjects:
Freetext Keywords: Sensors, Trajectory, Monitoring, Wireless sensor networks, Dementia, Cameras, Biomedical monitoring
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The analysis of multimodal data collected by innovative imaging sensors, Internet of Things (IoT) devices and user interactions, can provide smart and automatic distant monitoring of patients and reveal valuable insights for early detection and/or prevention of events related to their health situation. In this paper, we present a platform called ICT4LIFE which starting from low-level data capturing and performing multimodal fusion to extract relevant features, can perform high-level reasoning to provide relevant data on monitoring and evolution of the patient, and trigger proper actions for improving the quality of life of the patient.

More information

Item ID: 50821
DC Identifier: http://oa.upm.es/50821/
OAI Identifier: oai:oa.upm.es:50821
DOI: 10.1109/AVSS.2017.8078527
Official URL: https://ieeexplore.ieee.org/document/8078527
Deposited by: Memoria Investigacion
Deposited on: 16 Oct 2018 14:51
Last Modified: 16 Oct 2018 14:51
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