A Leap into the Future: Towards an Augmented Reality Learning Environment in Ski-Jumping
Abstract
This work outlines a path towards an augmented-reality learning environment for ski-jumping, building on smart sensor systems for performance analysis and biofeedback to support athlete training with real-time, data-driven guidance.
Type
Thorir Mar Ingolfsson
Postdoctoral Researcher
I develop efficient machine learning systems for biomedical wearables that operate under extreme resource constraints. My work bridges foundation models, neural architecture design, and edge deployment to enable real-time biosignal analysis on microwatt-scale devices.