The paper titled:
“PoinTS: mmWave Radar-based PointNet and Transformer Network for Human Skeleton Estimation in Privacy-Preserving Rehabilitation”
was awarded the Best Student Paper Award in the IEEE Eurocon 2025 international conference.
Authors of the paper:
Yujun Wang, Fabian Seguel, Stefan Hägele, Driton Salihu, Eckehard Steinbach.
The paper presents an advanced method for human skeletal posture estimation based on the use of mmWave radar sensors in combination with PointNet and Transformer architectures. The goal is to provide an effective solution for monitoring in rehabilitation settings while ensuring a high level of privacy protection.
