My Digital Drone Twin

In this project, which is supported by the KTH Digitalization Platform, we want to enable in-field human movement analysis for sports performance. We propose to use a depth camera on an aerial drone system with follow me-functionality. The analysis is done with machine learning-based skeleton tracking software. Objective measurements will be done and presented to the athlete and/or the coach.

Publications:

• Emil Nordberg, Lucas Sjödal, Implementation of Video-Based Person Tracking in a Drone System, Bachelor’s thesis, KTH Royal Institute of Technology, Huddinge, Sweden, 2021.
• Panagiotis Efstratiou, Skeleton Tracking for Sports Using LiDAR Depth Camera, Master thesis, KTH Royal Institute of Technology, Huddinge, Sweden, 2021.

• Martin Jacobsson, Jonas Willén, Mikael Swarén, "A Drone-mounted Depth Camera-based Motion Capture System for Sports Performance Analysis", In: Degen, H., Ntoa, S. (eds) Artificial Intelligence in HCI, HCII 2023, Lecture Notes in Computer Science (LNCS), Volume 14051, Springer, Cham, July 2023.