Pablo Maceira-Elvira

École Polytechnique Fédérale de Lausanne

Papers

Total Citations

H-Index

About

Pablo Maceira-Elvira is a researcher at the intersection of rehabilitation robotics and serious gaming, with a primary focus on adaptive upper limb rehabilitation. His most cited work, "Towards an Adaptive Upper Limb Rehabilitation Game with Tangible Robots" (2019, 6 citations), introduces a novel framework that balances patient motivation with therapeutic efficacy. Maceira-Elvira’s key contribution lies in designing difficulty adaptation algorithms that dynamically adjust game challenges based on real-time patient performance, ensuring both engagement and the completion of prescribed motor training objectives. This approach addresses a critical gap in traditional rehabilitation, where static difficulty levels often lead to patient disengagement or insufficient challenge. By integrating tangible robots with adaptive gaming, his work demonstrates how robotic systems can personalize therapy, potentially improving recovery outcomes for individuals with upper limb impairments. Though his citation count is modest, his research is foundational for the emerging field of adaptive serious games in neurorehabilitation, offering a scalable, patient-centered model that could transform how robotic therapy is delivered in clinical and home settings. His contributions are particularly notable for bridging engineering, game design, and clinical rehabilitation science.