REPAIRS focuses on perception-action rehabilitation for autism, stroke, and DCD; i-PROGNOSIS targets early Parkinson's interventions including motor support.
FACULDADE DE MOTRICIDADE HUMANA
University of Lisbon's movement science faculty specializing in rehabilitation, digital health sensing, and behavioral interventions for chronic conditions.
Their core work
Faculdade de Motricidade Humana (FMH) is the human movement and kinesiology faculty of the University of Lisbon, specializing in rehabilitation science, health behavior, and physical activity research. They develop technology-assisted interventions for chronic conditions — from early Parkinson's detection through unobtrusive sensing to ICT-based weight management tools and personalized nutrition. Their work sits at the intersection of human movement science, digital health technologies, and behavioral modeling, with particular strength in translating lab-based rehabilitation approaches into real-world clinical and community settings.
What they specialise in
i-PROGNOSIS uses unobtrusive behavioral sensing from smart devices; NoHoW developed ICT tools for weight management; PROTEIN integrated digital approaches to personalized nutrition.
PROTEIN addresses personalized nutrition for NCD prevention; NoHoW focused on evidence-based weight loss maintenance through behavior change.
ALHTOUR explored assisted living technologies applied to the health tourism sector through a Living Lab approach.
REPAIRS applies systems science and complexity theory to understand perception-action coupling in rehabilitation contexts.
How they've shifted over time
In their earlier H2020 work (2015–2018), FMH focused on assisted living technologies, health tourism, and ICT-based weight management — broadly targeting elderly care and lifestyle intervention through digital tools. From 2018 onward, their focus sharpened toward neuroscience-informed rehabilitation (Parkinson's, stroke, autism) and personalized health approaches grounded in behavioral modeling and systems science. The trajectory shows a clear move from general health-tech applications toward more specialized, neuroscience-driven rehabilitation research with stronger theoretical underpinnings.
FMH is moving toward theory-driven rehabilitation science combining neuroscience, systems thinking, and digital sensing — expect future work at the intersection of brain-body research and personalized therapeutic technologies.
How they like to work
FMH consistently joins consortia as a participant rather than leading them — all five projects saw them in a contributor role (including one as a third party). With 56 unique partners across 15 countries, they connect broadly across Europe rather than relying on a fixed set of collaborators. This profile suggests a reliable specialist contributor that larger consortia bring in for their specific movement science and rehabilitation expertise.
FMH has collaborated with 56 distinct partners across 15 countries, indicating a well-distributed European network built through diverse health and digital projects. Their connections span universities, hospitals, and technology partners across Western and Southern Europe.
What sets them apart
FMH brings a rare combination of human movement science expertise and digital health capability — few European partners can bridge kinesiology, behavioral sensing, and rehabilitation technology under one roof. Their grounding in systems science and perception-action theory gives them a distinctive analytical lens that complements more engineering-focused consortium partners. For any project requiring expertise on how humans move, recover, or interact with health technologies, they are a strong and experienced Portuguese partner.
Highlights from their portfolio
- i-PROGNOSISCombined unobtrusive smart device sensing with Parkinson's early detection — a technically ambitious project bridging consumer technology and neurodegenerative disease.
- REPAIRSTheir most recent and theoretically distinctive project, applying systems science and complexity theory to rehabilitation across autism, stroke, and DCD — signals their future research direction.
- NoHoWTheir largest funded project (EUR 534K), developing evidence-based ICT tools for weight loss maintenance in a major health behavior consortium.