UCLIC - UCL Interaction Centre




30 August 2023

ENtrainment and synchronization at multiple TIME scales in the MENTal foundations of expressive (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.


The EnTimeMent project extends previous research where we contributed scientific knowledge and technological tools toward the development of intelligent technology that automatically recognises pain and related mental experiences that are barriers to everyday movements and provides personalised sounds/music accompaniment to those movements in such a way that addresses the detected experiences. The ultimate aim of this technology would be to support people with chronic pain in everyday physical functioning.

In the current project, we aim to develop what is understood about human movement, build more advanced systems for automatic recognition of painful movement, and explore how sound/music systems that tailor output to both movement and pain-related experiences could be of value to people with chronic pain. This is part of the EU-funded EnTimeMent project aimed at developing new technologies that define movement at different timescales.

How to participate

  • Anonymous, online survey on everyday movements that a person with chronic pain may find challenging - now concluded
  • Moves@Home remote physical activity sessions - now concluded
  • AffectMove Workshop and Challenge @ ACII 2021 - now concluded