2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) (2017)
Aug. 29, 2017 to Sept. 1, 2017
Federico Alvarez , Universidad Politécnica de Madrid
Mirela Popa , Universiteit Maastricht
Nicholas Vretos , Centre for Research and Technology Hellas
Alberto Belmonte-Hernandez , Universidad Politécnica de Madrid
Stelios Asteriadis , Universiteit Maastricht
Vassilis Solachidis , Centre for Research and Technology Hellas
Triana Mariscal , Universidad Politécnica de Madrid
Dario Dotti , Universiteit Maastricht
Petros Daras , Centre for Research and Technology Hellas
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.
Sensors, Trajectory, Monitoring, Wireless sensor networks, Dementia, Cameras, Biomedical monitoring
F. Alvarez et al., "Multimodal monitoring of Parkinson's and Alzheimer's patients using the ICT4LIFE platform," 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Lecce, Italy, 2017, pp. 1-6.