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

Special Issues, Workshops and Presentations:

2020, The IEEE World Congress on Computational Intelligence (IEEE WCCI) and the 2020 International Joint Conference on Neural Networks (IJCNN 2020), Special Session

2020, Special Issue "Computational Sport Science and Sport Analytics", MDPI Journals Information

2019, The 2019 International Joint Conference on Neural Networks (IJCNN),

IJCNN 2019 - Accepted Workshops: “Computational Sport Science: Human Motion Modelling and Analysis”

2018, The 36th International Conference on Biomechanics in Sports 2018, ISBS 2018 - Scientific programme – Workshops: “AI challenges”

2018, Sport Performance Innovation Forum - TechWeek ’18

“Augmented Rehabilitation and Coaching Systems”