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EnTimeMent

A novel neuro-cognitive approach of the multiple, mutually interactive time scales characterizing human behaviour

EnTimeMent aims at a enabling technologies for automated prediction and analysis of human movement qualities, entrainment, non-verbal full-body social emotions, and at the foundation and consolidation of a radically new motion analysis technology

MAIN THEMES:

Artificial intelligence & ITBiotech & Health

TOPICS:

motion captureneuroscience

COORDINATING ORGANISATION:

Università degli studi di Genova

WEBSITE:

entimement.dibris.unige.it/

Stories related to EnTimeMent project

Capturing time and predicting human movement

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The EnTimeMent project proposes a radically new motion analysis technology with the capacity to predict human movement and use it in areas as diverse as healthcare, the performing arts, sports, video games and films

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About FETFX project — Privacy notice

This project has received funding from the European Union’s Horizon 2020 FET Programme under grant agreement No. 824753.

«Technology influences science but it is a bidirectional relationship. Programmes such as FET are important because they require us to think far ahead.»

PROF. EDVARD I. MOSER

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