Keynote Speaker I
Prof. Carlos M. Travieso-González
Universidad de Las Palmas de Gran Canaria, Spain
Carlos M. Travieso-González received the M.Sc. degree in 1997 in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain; and Ph.D. degree in 2002 at University of Las Palmas de Gran Canaria (ULPGC-Spain). He is Full Professor on Signal Processing and Pattern Recognition and Head of Signals and Communications Department at ULPGC; teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 51 International and Spanish Research Projects, some of them as head researcher. He is co-author of 4 books, co-editor of 25 Proceedings Book, Guest Editor for 8 JCR-ISI international journals and up to 24 book chapters. He has over 440 papers published in international journals and conferences He has published 7 patents in Spanish Patent and Trademark Office. He has been supervisor on 8 PhD Thesis (12 more are under supervision), and 130 Master Thesis. He have been General Chair in 12 international conferences. He is evaluator of project proposals for European Union (H2020), Medical Research Council (MRC – UK), Spanish Government (ANECA - Spain), Research national Agency (ANR - France), DAAD (Germany), Argentinian Government and Colombian Institutions. He won “Catedra Telefonica” Awards in Modality of Knowledge Transfer, in the editions 2017, 2018 and 2019.
Speech Title: "Image Processing: A Door for the Affective Computing"
Abstract: The use of image processing methods is a useful tool in order to extract information from persons for different application. In particular, soft biometrics application can be applied to detect race, age, gender, expression, etc. In this case, I have used that information to extract the grade of emotions. It can be an important and interesting indicator for medical doctors, and to have more diagnostic evidence about a decision or criterion in neurodegenerative diseases. There is that to difference the concept of expression and the grade of expression or arousal. For this kind of diseases, the important concept is the grade of expression because it says if the person loses or not that grade, with independence of the valence, positive or negative. The neurodegenerative disease is present on the arousal. This kind of studies can represent new paradigms for the medicine and in great input from the technology field. The adding value of this kind of proposal is its low cost and easy use.