Presentation
This talk explores how wearable biosensors and machine learning can be combined to create intuitive control modalities for rehabilitation technologies. It highlights co-learning and self-learning strategies that enable real-time adaptation based on muscle activity, supporting more personalized and intuitive human-computer interaction.
Speaker
Ulysse C?té-Allard is an Associate Professor at the University of Oslo's Department of Technology Systems, specializing in human-computer interaction and artificial intelligence with a focus on predictive medicine and rehabilitation engineering. His research centers on developing adaptive myoelectric control systems for prosthetic limbs, integrating machine learning with wearable biosensors to enhance the resilience and usability of assistive technologies. His contributions to the field have been recognized with awards such as the IEEE Engineering in Medicine and Biology Prize Paper Award.
Program
11:30 – Doors open and lunch is served
12:00 – "Human-Computer Co-Learning & Self-Learning in Rehabilitation" by Ulysse Teller Masao C?té-Allard (Associate Professor, Department of Technology Systems)
This event is open for all students, PhD candidates, postdocs, and everyone else who is interested in the topic. No registration needed.
About the seminar series
Once a month, dScience will invite you to join us for lunch and professional talks at the Science Library. In addition to these, we will serve lunch in our lounge in Kristine Bonnevies house every Thursday. Due to limited space (40 people), this will be first come, first served. See how to find us here.
Our lounge can also be booked by PhDs and Postdocs on a regular basis, whether it is for a meeting or just to hang out – we have fresh coffee all day long!