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.