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Feel my Steps: Co-Creating Gait Rehabilitation through Sensory Augmentation

Project description

Restoring movement through smart sensory feedback

For people living with neurological gait impairments, walking rehabilitation is often slow and discouraging. This is mainly because the brain no longer receives sufficient feedback from the body. In this context, the ERC-funded FEST project aims to tackle this challenge with a sensory augmentation system that helps patients ‘feel’ their movement again. The system combines smart, multisensory insoles with machine learning to analyse each step in real time and deliver feedback through gentle sounds and vibrations. Co-designed with patients, physiotherapists, and neurologists, it aims to make therapy more intuitive and motivating. Tested in clinics and homes, FEST will validate its effectiveness and explore market pathways towards a fully deployable rehabilitation solution.

Objective

For patients with neurological gait impairment, rehabilitation can be challenging and even frustrating due to a lack of sensory feedback. In many neurological conditions, motor and sensory pathways are equally affected and therefore require a combined therapeutic approach.

In this proof-of-concept study, we will validate the functionality and usability of an innovative sensory augmentation system based on the combination of multi-sensory insoles and machine learning models for step prediction, which gives patients feedback on the quality of their stance and gait through sound and vibration. These additional sensory feedback channels will be leveraged in novel therapy approaches which we will co-design together with patients, physiotherapists, and neurologists. The combined system will be tested and validated in real-world environments in rehabilitation hospitals and patients’ homes, with strong emphasis on verifying user acceptance.

In addition to enhancing the technology readiness level of our approach towards a field-tested product, we will develop a comprehensive IP strategy and conduct market research and business model analysis to investigate the potential for large-scale and sustainable commercialization.

Fields of science (EuroSciVoc)

Programme(s)

Topic(s)

Funding Scheme

HORIZON-ERC-POC - HORIZON ERC Proof of Concept Grants

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Call for proposal

(opens in new window) ERC-2025-POC

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Host institution

TECHNISCHE UNIVERSITAET MUENCHEN
Net EU contribution
€ 150 000,00
Address
Arcisstrasse 21
80333 Muenchen
Germany
Region
Bayern Oberbayern München, Kreisfreie Stadt
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data

Beneficiaries (1)