Availability of data and materials
The dynamic dataset analyzed during the current study are available in the Dropbox, https://www.dropbox.com/sh/8kd1o2302d3i8gb/AAB2PRM6vJk_wtjstK8QU_I7a?dl=0
The static dataset analyzed during the current study is available from the corresponding author on reasonable request.
The authors declare that they have no competing interests
This work was a part of project NeuroMkt that had been co-financed by the European Regional Development Fund of the European Union and Greek National Funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH CREATE INNOVATE (Project code T2EDK-03661).
SN, and IK conceived the study. KG and FK collected and processed the material. KG drafted the paper. VO, SN, and NL supervised the meta-analysis. NL, SN, and IK offered the critical revisions. All authors reviewed the manuscript. All authors read and approved the final manuscript.
Kostas Georgiadis holds a BSc degree in Computer Science from the University of Crete (2013) and a MSc in Informatics with specialization in Digital Media from the Dpt. of Informatics, Aristotle University of Thessaloniki (2015). Since 2021, he holds a PhD, received from Aristotle University of Thessaloniki, Dpt. of Informatics. Since 2015, he has been working as a research assistant at the Informatics and Telematics Institute (ITI) of the Centre of Research & Technology Hellas (CERTH). His research interests among others include Biomedical Signal Processing, Machine Learning, Deep Learning, Graph Theory and Brain Computer Interfaces.
Fotis P. Kalaganis graduated from the Dpt. of Informatics of the Aristotle University of Thessaloniki in 2013 and three years later (2016) he received his MSc degree in “Digital Media and Computational Intelligence” from the same institution. Since 2021, he holds a PhD, received from Aristotle University of Thessaloniki, Dpt. of Informatics. He is working as a research associate at the Centre for Research and Technology Hellas (CERTH), Information Technologies Institute (ITI). His research interests include deep learning, complex-valued kernel methods and non-Euclidean geometry with applications in Computational Neuroscience and Brain-Computer Interfaces.
Vangelis P. Oikonomou received the Dipl., M.Sc., and the Ph.D. degrees in computer science from the University of Ioannina, Ioannina, Greece, in 2000, 2003, and 2010, respectively. Currently, he is a postdoctoral researcher at Centre for Research and Technology-Hellas (CERTH), Thessaloniki, Greece. His research interests include Bayesian methods, machine learning, medical image processing, biomedical signal processing and brain computer interfaces. He is a member of IEEE.
Spiros Nikolopoulos received his diploma degree in Computer Engineering and Informatics and the MSc degree in Computer Science & Technology from university of Patras, Greece in 2002 and 2004 respectively. He also holds a PhD degree on Semantic multimedia analysis using knowledge and context, Queen Mary University of London (2012). He is currently a Researcher Grade C' in Information Technologies Institute (ITI) at the Centre for Research & Technology Hellas (CERTH). His research interests include computer vision, big data and visual analytics, visual and augmented reality and brain-computer interfaces. His scientific work has been published in more than 40 peer-reviewed journals, 75 international conferences and 15 book chapters.
Nikos A. Laskaris is an associate professor at the Department of Informatics, Aristotle University, Greece. He is a member of AIIA lab and leads the NeuroInformatics.GRoup. He is a co-author of more than 100 scientific publications. His current research interests include neuroinformatics, brain connectomics and the applications of machine learning, data mining and nonlinear dynamics in biomedicine and neuroscience.
Dr. Ioannis (Yiannis) Kompatsiaris is a Research Director at CERTH-ITI and the Head of Multimedia Knowledge and Social Media Analytics Laboratory. His research interests include multimedia, big data and social media analytics, semantics, human computer interfaces (AR and BCI), eHealth, security and culture applications. He is the co-author of 171 papers in refereed journals, 63 book chapters, 8 patents and more than 500 papers in international conferences. Since 2001, Dr. Kompatsiaris has participated in 89 National and European research programs in 18 of which he has been the Project Coordinator and in 14 direct collaborations with industry. He has been the co-organizer of various international conferences and workshops and has served as a regular reviewer, associate and guest editor for a number of journals and conferences currently being an associate editor of IEEE Transactions on Image Processing and Big Data Journal. He is a member of the Scientific Advisory Board of the CHIST-ERA funding programme, an elected member of the IEEE Image, Video and Multidimensional Signal Processing - Technical Committee (IVMSP - TC), a Senior Member of IEEE and member of ACM.
Prior to the recordings of the static dataset, subjects were thoroughly informed about the experimental procedure and gave written informed consent that was approved by the Ethical Committee of the Centre for Research & Technology Hellas (CERTH), with Ref. No. ETH.COM-68.