Objective
The analysis of human movements, gathering quantitative information about the musculoskeletal system during the execution of a motor task, plays a fundamental role for the understanding of the system physiopathology. Current methods for capturing accurate 3D human motion require the attachment of devices like markers, fixtures or sensors, that may influence the execution of natural movements, require time for subject preparation, and must occur in laboratory environment. Markerless, video-based, techniques are emerging as a solution to overcome these problems, but their application in clinical practice and biomechanical research is still limited because no good solution yet exists to accurately estimate bone movements from standard video. In particular, observed deformations of soft tissues in video data may alter predictions of bone location. An unexplored step in the direction of building a reliable video-based technique for markerless bone motion estimation is to design a model to accurately infer the movement of the underlying bone from the external structure. The design of such model is the main objective of this research and will be enabled by simultaneously captured bi-plane X-ray and video sequences. Being able to predict the bone movements from external measurements can open up non-invasive analysis in natural environments that can significantly improve our understanding of articulated body kinematics. The outgoing phase will take place at Brown University (USA), where a group of researchers have recently set up a state-of-the-art 3D X-ray imaging system for visualizing the complex bones and joints motion during natural activities. The Brown team also has developed state of the art methods of markerless human shape and motion analysis. The return phase will take place at the Movement Analysis Laboratory, Istituti Ortopedici Rizzoli (Italy), where the outcome of the research will be applied clinically for motion analysis in healthy subjects and patients.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences computer and information sciences artificial intelligence computer vision motion analysis
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-IOF-2008
See other projects for this call
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
40136 Bologna
Italy
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.