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EnTimeMent · Project

AI-Powered Movement Analysis for Pain Management, Sports, and Rehabilitation

healthTestedTRL 4Thin data (2/5)

Imagine if a camera system could watch how someone moves and tell you not just what they're doing, but how they're feeling — whether they're in pain, losing balance, or perfectly in sync with a dance partner. That's what EnTimeMent built: smart movement analysis technology that reads body language at different speeds, from a quick flinch to a slow shift in posture over weeks. They tested it with people living with chronic pain, dancers, athletes, and people with disabilities — all to make movement-reading technology actually useful in the real world.

By the numbers
12
consortium partners
8
countries represented
47
total deliverables produced
3
proof-of-concept domains validated
2
industry partners in consortium
9
university partners
The business problem

What needed solving

Businesses in healthcare, sports, and entertainment lack objective, automated ways to analyze the quality and meaning of human movement. Chronic pain clinics rely on subjective patient reports, sports coaches miss subtle timing and coordination issues, and entertainment companies can't make experiences that truly respond to how people move. Current motion capture systems track where the body is but not what the movement means.

The solution

What was built

EnTimeMent built and validated time-adaptive movement analysis technology that operates at multiple time scales — from millisecond reactions to gradual behavioral changes. Concrete outputs include proof-of-concept systems tested in 3 domains (chronic pain management, disability support, and dance/sports/entertainment), with 47 deliverables covering computational models, motion capture integration, and user validation studies.

Audience

Who needs this

Rehabilitation clinics and chronic pain management centers needing objective movement assessmentsSports analytics companies building next-generation athlete performance toolsInteractive entertainment and immersive experience studiosDance technology companies creating movement-responsive installationsAssistive technology developers for people with disabilities
Business applications

Who can put this to work

Healthcare & Rehabilitation
any
Target: rehabilitation clinics and chronic pain management centers

If you are a rehabilitation provider dealing with subjective pain assessments that make it hard to track patient progress — this project developed motion capture-based systems that automatically detect and measure movement qualities in chronic pain patients. Their proof-of-concept was validated through lab and real-world user studies with effectiveness and satisfaction evaluations, meaning you get objective, repeatable movement data instead of relying solely on patient self-reports.

Sports Technology
mid-size
Target: sports analytics companies and elite training centers

If you are a sports tech company struggling to capture the subtle timing and coordination that separates good athletes from great ones — this project developed time-adaptive movement prediction systems tested in sports scenarios. With 12 partners across 8 countries contributing neuroscience and computational modeling expertise, the technology goes beyond simple motion tracking to predict and analyze movement synchronization between athletes.

Entertainment & Performing Arts
SME
Target: interactive entertainment studios and dance technology companies

If you are an entertainment company looking to create more responsive, movement-aware experiences — this project built and validated proof-of-concepts for dance and entertainment group activities, including living architectures that respond to human movement. Their summative evaluations confirmed user satisfaction and effectiveness, giving you a research-backed foundation for products that truly understand audience or performer movement in real time.

Frequently asked

Quick answers

What would it cost to license or adopt this technology?

No pricing or licensing model is publicly available in the project data. As a publicly funded EU research project (RIA), the IP is typically held by the consortium partners. A licensing discussion would need to go through the coordinator at the University of Genova or the 2 industry partners in the consortium.

Can this work at industrial scale or is it still a lab experiment?

The project completed proof-of-concept testing and validation in multiple real-world scenarios — chronic pain management, disability support, dance, sports, and entertainment. Summative evaluations included both lab and in-situ (real environment) studies. However, this was a FET Proactive research project, so scaling to commercial products would require further engineering and productization.

Who owns the intellectual property?

As a Horizon 2020 RIA project, IP is typically owned by the partners who generated it. The consortium includes 12 partners across 8 countries, with 2 industry partners and 9 universities. Licensing negotiations would likely involve the University of Genova as coordinator and the specific partners who developed the technology components you need.

What specific movement analysis capabilities were validated?

The project validated proof-of-concepts in 3 distinct domains: (1) dance, living architectures, sports and entertainment, (2) healing and everyday life support for people with disabilities, and (3) chronic pain management. Each underwent summative evaluation with user interviews, observations, and effectiveness assessments. The project produced 47 deliverables total.

How does this differ from existing motion capture systems?

Based on the project objectives, the key differentiator is multi-layered time analysis — the system processes movement at multiple time scales simultaneously, from split-second reactions to gradual behavioral changes. Standard motion capture tracks position; this technology aims to detect, measure, and predict movement qualities and synchronization between people.

What is the timeline to get a working product from this research?

The project ended in December 2022 with validated proof-of-concepts. Moving from proof-of-concept to a commercial product would require productization, regulatory considerations (especially for healthcare applications), and integration engineering. Based on available project data, the technology is at the tested stage, likely requiring 2-3 more years of development for market-ready products.

Is there regulatory approval for healthcare use?

Based on available project data, no regulatory approvals (CE marking, medical device certification) are mentioned. The healthcare proof-of-concepts were validated in controlled and ecological studies, but regulatory clearance for clinical use as a medical device would be an additional step beyond the project scope.

Consortium

Who built it

The EnTimeMent consortium of 12 partners across 8 countries is heavily research-oriented, with 9 universities and only 2 industry partners (17% industry ratio) and zero SMEs. This reflects its nature as a FET Proactive project — pushing scientific boundaries rather than rushing to market. The coordinator, University of Genova in Italy, led a genuinely international team spanning Europe, Australia, and Canada. For a business considering this technology, the low industry participation means there is no established commercialization partner yet, which represents both a risk (no clear product roadmap) and an opportunity (less competition for licensing the results). The breadth of academic expertise — spanning neuroscience, computational modeling, and movement analysis — provides a strong scientific foundation, but a commercial partner would need to bring productization and go-to-market capabilities.

How to reach the team

The coordinator is the University of Genova (Italy). Contact their technology transfer office or the project PI through the university's research department.

Next steps

Talk to the team behind this work.

Want to explore licensing EnTimeMent's movement analysis technology for your rehab clinic, sports product, or entertainment platform? SciTransfer can connect you directly with the right research partner — contact us for a tailored introduction.

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