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Multimodal monitoring of Parkinson's and Alzheimer's patients using the ICT4LIFE platform
Citation
Álvarez García, Federico 
ORCID: https://orcid.org/0000-0001-7400-9591, Popa, Mirela, Vetros, Nicholas, Belmonte Hernández, Alberto ORCID: https://orcid.org/0000-0002-4009-2662, Asteriadis, Stelios, Solachidis, Vassilis, Mariscal Cortes, Triana, 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 |
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| Author/s: |
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| 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 |
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 |
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| DC Identifier: | https://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: | 04 Mar 2023 13:19 |
