Objective
There is an urgent need of providing forensic practitioners with accurate, robust, unbiased and automate identification systems. This fact makes more sense in the field of forensic anthropology due to the poor technological development, the increasing number of mass disasters, and the unapproachable and shameful number of unidentified people in the EU. SKELETON-ID is intended to fill this technological gap by proposing a novel computer-aided automatic paradigm, which will be implemented and validated through the development of clavicle and frontal sinus identification systems.
The challenging proposal is feasible thanks to the ER (Dr. Mesejo) and supervisor (Dr. Cordón) profiles, the facilities and excellence of the hosting institution (ranked 250th overall and 45th in Engineering in the Shangai Ranking 2016), and the strong background of the involved partners. The ER obtained his PhD within a Marie Curie ITN and he has developed his research career in four different Universities in EU, one Hospital (Spain), and two research centers (INRIA, CNRS). He has become an expert in computer vision and machine learning, with practical experience in biomedical imaging. In turn, Dr. Cordón got the Spanish National Computer Science Award (2014) and some other international awards, is included in the 1% of most cited researchers in the World, and leads a multidisciplinary group participating in four European research projects.
The multi-disciplinary know-how of the well-known team experts in different fields (from forensic radiology and disaster victim identification to image registration and fuzzy systems), and the equipment and facilities of the beneficiary (UGR-SOCCER), forensic partner (UGR-PAL), and supporting institution (FASE) compose a unique environment to accomplish these ambitious and breakthrough objectives. Finally, the project clearly pursues the technological transfer, which will be carried on in collaboration with the young SME PANACEA.
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: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences artificial intelligence computer vision
- medical and health sciences clinical medicine radiology
- social sciences sociology anthropology
- natural sciences computer and information sciences artificial intelligence machine learning
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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.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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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.
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.
MSCA-IF-EF-ST - Standard EF
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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.
(opens in new window) H2020-MSCA-IF-2016
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
18071 GRANADA
Spain
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.