The I.C. Humans Project

Welcome to the ICHumans project website.

The ICHumans project aims to promote research in the field of motion capture and human activity interpretation through the use of advanced technologies and machine learning models. The project is divided into several major components:

1. Equipment Acquisition: The project plans to purchase state-of-the-art, marker-based MOCAP systems and associated computing infrastructure. This equipment will be used to collect high-fidelity ground-truth data for the development and testing of the project's models and methodologies.
   
   

2. Technology Development: The core focus of the project is to create low-cost, unobtrusive systems that enable high-fidelity motion capture (MOCAP) from common cameras. This includes the development of methodologies and tools that allow 3D quantification and semantic interpretation of human motion and activities without the need for expensive, intrusive hardware.
   
   

3. Medical Applications: One of the project's key goals is to use the developed MOCAP system in medical applications. Patients would use AR/VR headsets for virtual consultations, enabling doctors to diagnose and treat patients based on the visual information captured and transmitted through the system.
   
   

4. Machine Learning and Modelling: The project aims to leverage machine learning and other advanced modeling techniques to interpret and understand human movement accurately. These models will be trained using large datasets and will be designed to interpret body, head, and hand poses, as well as overall health states.
   
   

5. Proof-of-Concept Application: As an end-goal, the project envisions the development of an AR/VR application that uses human motion capture for medical condition assessment and rehabilitation. This is considered a proof-of-concept for the ICHumans project and demonstrates its potential in real-world applications.
   
   

6. Resource Sharing: Finally, the ICHumans project aims to share its MOCAP infrastructure and research findings with Greek academia and industries. The goal is to maximize the use of the acquired resources and foster collaboration across different institutions.