Project description
Identifying micro-behaviours through nonverbal signals
Micro-behaviours are subtle, often unconscious actions, expressions, or gestures that individuals display in everyday life. These behaviours are primarily conveyed through non-verbal cues. By gaining a deeper understanding of these nuanced signals and equipping future AI systems to recognise them, we could significantly enhance interpersonal interactions and strengthen relationships. However, current automated systems are not yet capable of effectively identifying these micro-behaviours. Supported by the Marie Skłodowska-Curie Actions programme, the MIRROR project will use multimodal perception and deep learning techniques to automatically detect micro-behaviours through nonverbal signals, including facial expressions and body language. The project will develop context-aware, privacy-preserving machine learning methods that remain robust even in the presence of missing data.
Objective
Micro-behaviors are subtle, often unconscious actions, expressions, or gestures that individuals exhibit in their daily lives. They are often shown in nonverbal communication. Understanding these subtle cues and endowing future artificial intelligence agents this capability could enhance our interactions and relationships. However, current automated systems cannot recognize micro-behaviors. To this end, I will address this gap using multimodal perception and deep learning to automatically recognize micro-behaviors through nonverbal signals such as facial expressions and body language. I will focus on the development of context-aware and privacy-preserving machine learning methods that are robust towards missing data.
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.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering control systems
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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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.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2023-PF-01
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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.
75006 Paris
France
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.