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About

Luis Unzueta is a leading researcher at the intersection of rehabilitation robotics, virtual reality (VR), and intelligent IoT systems. His primary contributions lie in developing technologies that enhance human health and autonomy, with a particular focus on accurate biomechanical sensing for motor therapy and social robotics for ageing populations. Unzueta’s most cited work, “Upper Limb Posture Estimation in Robotic and Virtual Reality-Based Rehabilitation” (31 citations), addresses a critical challenge in modern therapy: precisely estimating limb posture to provide realistic VR feedback and accurately assess patient progress when using exoskeletons. He further advanced this field by developing optical enhancement methods to improve glenohumeral angle estimation in robot-assisted rehabilitation (7 citations). Beyond rehabilitation, Unzueta has made notable contributions to active and healthy ageing, reviewing user requirements for social robotic applications that support independent living (14 citations). Demonstrating his versatility, he also tackles deployment challenges in heterogeneous IoT platforms, designing automated strategies for face recognition solutions across diverse devices like robots and tablets (7 citations). His work consistently bridges the gap between advanced sensing, human-machine interaction, and practical, real-world healthcare applications.