Wearables and audio for fitness and health monitoring
Speaker (s):
Cecilia Mascolo
Professor
University of Cambridge
| Date: Time: Venue: | | 18 December 2025, Thursday 10:30am – 11:30am School of Computing &
Information Systems 2 (SCIS 2)
Level 4, Seminar Room 4-4
Singapore Management University
90 Stamford Road
Singapore 178903 Please register by 12 December 2025 We look forward to seeing you at this research seminar. 
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About the Talk
Wearable devices are becoming pervasive in our lives, from smart watches measuring our physiology to wearables for the ear accompanying us in every run or virtual meeting. The monitoring of our health and fitness through sensors and wearables is also the focus of much research in the pervasive and wireless computing community. In this talk I will describe the team's research in making use of wearable data and in particular audio for making sense of our fitness and health. I will discuss the challenges and the opportunities that arise in this domain and a number of case studies which include the use of sensors on smartphones as well as in "hearables" in a variety of health and fitness applications. The talk will span both device and sensing research as well as machine learning models applied to this type of data.
About the Speaker
Cecilia Mascolo is a Full Professor of Mobile Systems in the Department of Computer Science and Technology, University of Cambridge, UK. She is the director of the Centre for Mobile, Wearable System and Augmented. She is also a Fellow of the Royal Academy of Engineering, a Fellow of Jesus College Cambridge and the recipient of an ERC Advanced Research Grant. 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 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. More details at www.cl.cam.ac.uk/users/cm542
