Events

Closing WideHealth Seminar with Monica Tentori, “Neuroscience-based interaction.”

June 12th, 2023-16:00 CET Registration link: Link Registration is free. Please share with your networks. Date: June 12th, 2023, 16:00 CET (15:00 in Lisbon) Speaker: Monica Tentori Title: Neuroscience-based interaction Abstract: One of the main challenges in the development and evaluation of Natural User Interfaces (NUIs) is to find novel ways of interaction. Recent trends in Computer Science …

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19th WideHealth Seminar: Junoš Lukan, “Stress prediction: Is it really that simple?”

May 19th, 2023 – 16:00 CET Registration link: https://shre.ink/19thWideHealthseminar Registration is free. Please share with your networks. Date: May 19th, 2023, 16:00 CET (15:00 in Portugal) Speaker: Junoš Lukan Title: Stress prediction: Is it really that simple? Abstract: In my seminar, I am going to present different ways of framing the problem of stress prediction. Since we …

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18th WideHealth Seminar: Borche Jovanovski, “Federated Learning for Activity Recognition: A System Level Perspective”

May 9th, 2023 – 16:00 CET Registration link: https://shre.ink/18thWideHealthSeminar Registration is free. Please share with your networks. Date: May 9th, 2023, 16:00 CET (15:00 in Portugal) Speaker: Borche Jovanovski Title: Federated Learning for Activity Recognition: A System Level Perspective Abstract: The past decade has seen substantial growth in the prevalence and capabilities of wearable devices. For instance, …

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Ubicomp’23 Workshop on Digital Therapeutics Evolution: What kind of research will make the difference in this area?

Building up on the success of our previous edition in 2021, we are happy to announce that the WideHealth project is once again organizing a workshop on the prestigious conference Ubicomp’23, to be held in Cancun, Mexico, in October 2023. The objective of this workshop is to address the main challenges for achieving the wider …

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WideHealth Winter School on Trustworthy AI

WideHealth Winter School on Trustworthy AI “Artificial Intelligence is the new electricity.” ~Andrew Ng. The world is changing rapidly, and digitalization is increasingly important, especially in industrial and health applications. Artificial Intelligence (AI) has become an integral part of our everyday lives. More urgently, it has the potential to radically change our way of life. …

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Workshop on Virtual Reality for Health and Wellbeing @MUM’22

We are happy to announce that the WideHealth project is organizing a workshop on the 21st International Conference on Mobile and Ubiquitous Multimedia – MUM’22. This workshop will focus on systems, technological approaches, and theoretical frameworks to develop user/patient-centred VR tools for diagnosis, intervention, and monitoring of health and wellbeing outcomes. Moreover, we welcome work …

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Pervasive Health and Smart Sensing Conference at IS’22

Pervasive Health and Smart Sensing at the Information Society 2022 Call for papers Scope Recent advances in sensor technologies and their pervasiveness allow the development of numerous applications and services to improve people’s health. The conference on Pervasive Health and Smart Sensing invites papers presenting novel research on utilizing sensors placed on users’ bodies and …

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WideHealth Winter School on e-Health & Pervasive Technologies

WideHealth Winter School on e-Health & Pervasive Technologies Welcome to the 1st WideHealth Thematic School on e-Health & Pervasive Technologies at the Faculty of Electrical Engineering and Information Technologies (FEEIT), Ss. Cyril and Methodius University in Skopje (UKIM), North Macedonia. The school will be held from February 14 to February 17, 2022, and is aimed …

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3rd WideHealth Seminar: Orhan Konak, “IMU-Based Trajectory Image Classification for Human Activity Recognition” (01/06/2021)

Date: June 1st, 2021 – 15:00 CET Speaker: Orhan Konak Title: IMU-Based Trajectory Image Classification for Human Activity Recognition Abstract: Recent trends in ubiquitous computing have led to a proliferation of studies that focus on human activity recognition (HAR) utilizing inertial sensor data. However, the performances of such approaches are limited by the amount of annotated training …

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