EnTimeMent (EU H2020 FET project, 2019 to 2022) aims to radically change scientific research and enabling technologies for qualitative analysis, entrainment, and prediction of human movement based on a novel neuro-cognitive approach of multiple, interactive timescales. This 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. It will radically transform technology for human movement analysis. EnTimeMent's 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.