Wear-to-compute? Challenges of wearable computing for health.
Donnerstag, 14.07.2022, 16:15 Uhr
Wearable devices are becoming pervasive in our lives, from smart watches measuring our heart rate to wearables for the ear accompanying us in every virtual meeting. These devices are becoming, in theory, very good proxies for human behaviour. Yet, making the inference from the raw sensor data to individuals’ behaviour remains difficult.
In this talk I will discuss where commercial systems have gotten to today and highlight the open challenges that these technologies still face before they can be trusted health measurement proxies. Namely, the ability to work in the wild, the sensitivity of the data versus centralisation of computation, the uncertainty of the prediction over the data.
I will use examples from my group's ongoing research on on-device machine learning, “earable” sensing and uncertainty estimation for health application in collaboration with epidemiologists and clinicians.
is the mother of a teenage daughter but also a Full Professor of Mobile Systems in the Department of Computer Science and Technology, University of Cambridge, UK. She is co-director of the Centre for Mobile, Wearable System and Augmented. She is also a Fellow of Jesus College Cambridge and the recipient of an ERC Advanced Research Grant. She has been Deputy Head of Department between 2018 and 2021. Prior joining Cambridge in 2008, she was a faculty member in the Department of Computer Science at University College London. She holds a PhD from the University of Bologna. Her research interests are in mobile systems and machine learning for mobile health. She has published in a number of top tier conferences and journals in the area and her investigator experience spans projects funded by Research Councils and industry. She has served as steering, organizing and programme committee member of mobile and sensor systems, data science and machine learning conferences. Cecilia Mascolo