Augmented Rehabilitation & Coaching Systems

Projects Description


Temporal and spatial pattern extraction from low to high quality videos: Towards real-time data fusion for wearable and ubiquitous computing devices

Integrated development environment for data analysis and modelling of sporting and rehabilitation activities

Human pose, body segments or silhouette estimation from video data

Scene/activity recognition and high-level event modelling and analysis from video data

Human activity data fusion: Merging video and inertial sensors for qualitative diagnostics of human performance

Ubiquitous computing for motion data acquisition and processing including: 3D and 2D video/image sources, and multi-time series signals from IMU/MEMS, EEG and EMG sensors

Motion data acquisition, processing and visualisation: Analytics and multimodal feedback and intervention

Project Team

  • Boris Bačić
  • Russel Pears