Virtual Reality, motion Sensing, and activity tracking for rehabilitation Research Track
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This project aims to investigate the effectiveness of Virtual Reality (VR) technology in upper limb rehabilitation for stroke survivors. Stroke remains a leading cause of long-term disability, with upper limb impairment severely limiting independence and quality of life. While traditional rehabilitation methods are clinically established, they often face challenges with patient motivation and inconsistent stimulation of neuroplasticity. By integrating VR-based interventions, we seek to leverage immersive and interactive environments to boost engagement and provide task-specific training, potentially promoting greater recovery of motor function. The research will assess how VR can enhance the rehabilitation experience and outcomes compared to conventional approaches, with the goal of establishing evidence-based practices for post-stroke upper limb therapy.
Researchers: Nouf Alotabi, Abeer Alnafjan, Noura Alhakbani
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This project, Jasoor, envisions a future where individuals experiencing driving anxiety can access culturally tailored, technology-based tools to better understand and overcome their fears. Unlike traditional, often clinical phobia assessments, Jasoor offers an interactive and user-friendly experience by combining immersive virtual reality simulations of real driving scenarios with real-time physiological feedback. The system uses a GSR sensor and mobile application to display responses from users after each session, and employs a Random Forest classifier to classify the anxiety state. By making phobia assessment more personalized, localized, and engaging—particularly for communities shaped by unique social norms and infrastructure—Jasoor aims to address gaps in current solutions and empower more individuals to confront driving anxiety safely and effectively.
Researchers: Noura Alhakbani, Abeer Alnafjan, Layan Almousa, Anwar Alshamrani, Retaj Alghamdi, and Sarah Alsayari
