RehabTwin
RehabTwin: AI-Powered Smart Coach for Personalized Stroke Rehabilitation at Home
The RehabTwin project advances AI-supported, home-based stroke rehabilitation through a new public–private partnership that brings together the human–technology interaction expertise of HvA, rehabilitation and movement science research of VU, clinical expertise of Reade, and technological innovation of wearm.ai. The project develops an AI-powered personalized rehabilitation system to support stroke patients in recovering at home while enabling therapists to remotely monitor and guide rehabilitation.
Critical challenges
Stroke is a major health challenge in the Netherlands, affecting 41,000 people annually, causing 10,000 deaths, and ranking third in disease burden, accounting for 2.5% of healthcare costs. Rising pressures on healthcare have reduced inpatient rehabilitation to an average of six days, leaving 60–65% of patients to recover at home.
Home-based rehabilitation, however, faces critical challenges: patients often perform exercises incorrectly without real-time feedback, imbalanced daily activities and exercises may lead to overload, and limited interaction with therapists can reduce motivation and adherence. These gaps highlight the urgent need for AI-powered e-rehabilitation solutions that provide engaging guidance, timely feedback, and adaptive support in the home setting.
Hybrid Human Artificial Intelligence
To address these challenges, RehabTwin integrates Advanced Sensing (AS), Artificial Intelligence (AI), and Augmented Feedback (AF) to enhance movement quality and adaptivity. The system combines wearable motion sensors, AI-based movement and experience analysis, and interactive patient interfaces to deliver real-time joint-level corrections, adaptive encouragement, and personalized exercise adjustments.
A human-centered design approach ensures stroke patients, healthcare professionals, designers, and AI engineers co-create a solution that is clinically effective, engaging, and reliable.
RehabAI@home
The project will deliver a comprehensive system that includes wearable sensors for motion tracking, an AI agent for capturing patient experiences, and AI models for movement analysis, corrective feedback, and exercise adaptation. The dual platform features a patient-facing home exercise application and professional monitoring tools, enabling safe, effective, and personalized rehabilitation at home.