Digital biomarkers of gait and exercise for ageing, frailty and Parkinson’s disease

We are looking to join a Horizon Europe Cluster Health consortium as a technology and data analysis partner, contributing advanced methods for the objective assessment of gait and physical exercise in older adults and people with movement disorders.

Our expertise focuses on foot-worn inertial sensors (IMUs) and depth-camera–based analysis to extract clinically meaningful digital biomarkers related to mobility, balance, and motor control. We have extensive experience in the design of signal processing pipelines and algorithms for gait event detection, spatiotemporal gait parameters, variability metrics, symmetry, stability indicators, and exercise quality assessment.

In addition, we develop real-time feedback solutions based on depth cameras, enabling users to perform physical exercises correctly and safely, with automatic evaluation of execution quality. These solutions are particularly suitable for home-based or community-based interventions, supporting adherence and personalization of exercise programs.

Our technologies and methods are applicable to multiple health domains, including:

• Healthy ageing and frailty prevention

• Parkinson’s disease and other neurodegenerative disorders

• Fall risk assessment and mobility monitoring

• Remote and longitudinal patient follow-up

Within a project, we can contribute to:

• Definition and validation of digital biomarkers of gait and exercise

• Development of sensor-based and vision-based assessment tools

• Integration of real-time feedback into digital health platforms

• Support for clinical studies, pilot trials, and real-world validation

• Data analysis, interpretation, and contribution to evidence-based outcomes

We aim to collaborate with clinical, academic, and industrial partners to translate advanced motion analysis technologies into robust, scalable, and clinically relevant solutions for European health challenges.