Description du projet
Une meilleure résolution de l’analyse des mouvements humains favorisera l’innovation et les nouvelles applications
Les technologies de capture de mouvement sont au cœur d’applications dans différents domaines, notamment la réalité virtuelle, les films d’animation, la rééducation biomédicale, le sport et la danse. Ces technologies ont beau voir fait des progrès considérables, elles n’ont encore la haute résolution spatiale et temporelle nécessaire pour percevoir et prédire efficacement les phénomènes complexes. Le projet EnTimeMent, financé par l’UE, a élaboré une approche neurocognitive innovante de l’analyse qualitative du mouvement humain, fondée sur des échelles temporelles et spatiales multiples et l’intégration multisensorielle. L’équipe du projet s’apprête à commercialiser sa technologie auprès de nombreux secteurs industriels et utilisateurs finaux.
Objectif
EnTimeMent aims at a radical change in scientific research and enabling technologies for human movement qualitative analysis, entrainment and prediction, based on a novel neuro-cognitive approach of the multiple, mutually interactive time scales characterizing human behaviour. Our approach will afford the development of computational models for the automated detection, measurement, and prediction of movement qualities from behavioural signals, based on multi-layer parallel processes at non-linearly stratified temporal dimensions, and will radically transform technology for human movement analysis. EnTimeMent new innovative scientifically-grounded and time-adaptive technologies operate at multiple time scales in a multi-layered approach: motion capture and movement analysis systems will be endowed with a completely novel functionality, achieving a novel generation of time-aware multisensory motion perception and prediction systems. The proposed model and technologies will be iteratively tested and refined, by designing and performing controlled and ecological experiments, ranging from action prediction in a controlled laboratory setting, to prediction in dyadic and small group interaction. EnTimeMent scenarios include health (healing and support of everyday life of persons with chronic pain and disability), performing arts (e.g. dance), sports, and entertainment group activities, with and without living architectures. EnTimeMent will create and support community-building and exploitation with concrete initiatives, including a community of users and stakeholders, innovation hubs and SME incubators, as premises for the consolidation beyond the end of the project in a broader range of market areas.
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RIA - Research and Innovation actionCoordinateur
16126 Genova
Italie