O R A M A

An Integrated Computer Vision Interactive Platform for the Execution and Remote Supervision of Digital Exercises for Prevention and Promotion of Physical Fitness and Health


The research project ORAMA utilizes advanced technologies in computer vision, virtual/augmented environments and artificial intelligence technologies to offer a comprehensive, interactive, and autonomous exercise platform. The ORAMA platform provides personalized fitness programs for those who wish to exercise in their own space, while also supporting real-time guidance, showing the trainee how to do the exercises right so they can keep getting better. In addition, health and exercise professionals are able to supervise and monitor remotely the progress of their customers, ensuring security, consistency, and high-quality support.

The ORAMA platform

  • It analyzes the kinetic and kinematic parameters, body posture, and condition of the trainees and, using using computer vision technologies. offers guidance through targeted suggestions to ensure the correct execution of an exercise, possibly without the presence of a specialist (gym instructor, coach, physiotherapist, etc.).
  • It offers personalized exercise programs tailored to the needs of each trainee using artificial intelligence technologies.
  • It facilitates remote monitoring and supervision by healthcare professionals (doctors, physiotherapists, trainers, etc.), by enabling personalized support even in non-specialized settings, using augmented reality environments.
  • Promotes accessibility to exercise by serving exercisers with diverse abilities, limitations, or needs, offering alternative modes of interaction and providing feedback, such as auditory and/or visual cues, allowing people with mobility or sensory impairments, for example, to participate fully in exercise programs and strength training protocols.

Ultimate goal

To offer a safe and accessible exercise environment for the general population and specific groups, with the possibility of frequent practice at home and reduced need to visit a specialist facility. The solution is evaluated through pilot applications and technical tests on the integrated system.

Computer vision pose estimation analyzing rowing posture with live joint angle tracking during exercise.