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2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) (2017)
Lecce, Italy
Aug. 29, 2017 to Sept. 1, 2017
ISBN: 978-1-5386-2940-6
pp: 1-6
Thomas Theodoridis , Centre for Research and Technology Hellas, Greece
Vassilis Solachidis , Centre for Research and Technology Hellas, Greece
Nicholas Vretos , Centre for Research and Technology Hellas, Greece
Petros Daras , Centre for Research and Technology Hellas, Greece
Dario Dotti , Maastricht University, The Netherlands
Mirela Popa , Maastricht University, The Netherlands
Gustavo Hernandez , Universidad Politécnica de Madrid, Spain
Federico Alvarez , Universidad Politécnica de Madrid, Spain
Alejandro Gonzalez Paton , Artica Telemedicina (CMC Group), Spain
Angel Lopez , Artica Telemedicina (CMC Group), Spain
ABSTRACT
The ICT4Life Open Source framework contains libraries for acquiring and processing data from different sensors, machine learning algorithms for activity recognition, as well as fusion methods of multiple modalities either at an early or at a late stage. The main purpose of the introduced system is to enable an easy customization of patients' monitoring using different types of sensors. Furthermore, by allowing an easy integration of new sensors or types of activities, the proposed subsystem supports the development of new solutions for different diseases, than the ones considered in the ICT4Life p roject.
INDEX TERMS
Libraries, Wearable sensors, Biomedical monitoring, Diseases, Activity recognition, Monitoring
CITATION

T. Theodoridis et al., "ICT4Life open source libraries supporting multimodal analysis of different diseases," 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Lecce, Italy, 2017, pp. 1-6.
doi:10.1109/AVSS.2017.8078528
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