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. In her WiDS Villach talk, Verena Venek gave examples from interdisciplinary research projects illustrating the challenges, the potential and outlook for Data Science in Human Motion Analytics.
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.