HealthFlex
×
  • Past Conferences
    • Conference 2022
    • Conference 2021
    • Conference 2020
  • Our Team
  • Blog
  • LinkedIn
  • Register
Verena Venek

Verena Venek

Data Scientist & Project Manager, Salzburg Research, Austria

Verena Venek is a data scientist and project manager of the Human Motion Analytics team at Salzburg Research, a Research and Technology Organization (RTO) located in Austria. She is additionally working on her doctoral studies in the field of sport technology at the University of Salzburg. Her current research focus includes data analysis and algorithm development in the fields of digital sports and health with the focus on physical activity promotion, rehabilitation and prevention.

In 2014, Verena finished her master’s studies to receive the degree of Dipl.-Ing.in in Health Care IT from the Carinthia University of Applied Sciences. Although she mainly analysed medical image data during her earlier studies, the research experience at the USC Institute for Creative Technologies opened up the opportunity for her to apply her acquired knowledge to a new field of data exploitation. Finally, her interest in the research area of Active and Assisted Living (AAL) led her to Salzburg Research, where she has been now since 2015.

 

Technical Vision Talk: “Sports & Health: Human motion analytics for an active lifestyle“

It is no secret that physical activity benefits our health and well-being. Yet, according to the WHO, people do not exercise enough. Miniaturized sensor technologies and their seamless integration into our daily lives offer new ways to motivate and engage people in sports. Before such a system becomes operational though, many questions have to be answered: Which sensor configuration is suitable for exercise monitoring? How to support people at home to stick to their activity routines? How to give feedback on exercise performance during training at home? What makes a good ski day? How to increase self-awareness and the digital sports experience at the same time? The Human Motion Analytics team at Salzburg Research is investigating these and many more questions together with their partners from industry and research using current Data Science methods. Practical examples from interdisciplinary research projects illustrate the challenges, the potential and outlook for Data Science in Human Motion Analytics.

__________________

Fri. Oct 1 | 11:40 am – Technical Vision Talk: “Sports & Health: Human motion analytics for an active lifestyle”

WiDS Villach is an independent event organized by Olivia Pfeiler and Anita Kloss-Brandstätter in cooperation with AI Carinthia as part of the annual WiDS Worldwide conference organized by Stanford University and an estimated 200+ locations worldwide, which features outstanding women doing outstanding work in the field of data science. All genders are invited to attend all WiDS Worldwide conference events.

Join us in the heart of the Alps-Adriatic-region at Carinthia University of Applied Sciences!

office@widsvillach.org

Europastraße 4, 9524 Villach, Austria

Quick Links

  • Terms and Conditions
  • Legal Notice

Connect with us on LinkedIn

Watch us on YouTube

Copyright © 2022 all rights reserved
Content + Conversion by digitallotsen.at | Design by Plethora
This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish. Cookie settingsACCEPT
Privacy & Cookies Policy

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Non-necessary
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.
SAVE & ACCEPT