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

Federico Alvarez*, Mirela Popa, Nicholas Vretos, Alberto Belmonte-Hernández, Stelios Asteriadis, Vassilis Solachidis, Triana Mariscal, Dario Dotti, Petros Daras

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

4 Citations (Web of Science)


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.
Original languageEnglish
Title of host publicationAdvanced Video and Signal Based Surveillance (AVSS), 2017 14th IEEE International Conference on
Number of pages6
ISBN (Print)9781538629390
Publication statusPublished - 2017
Event14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) - , Italy
Duration: 30 Aug 20171 Sep 2017


Conference14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
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