Oscar Ruiz-Salguero
Papers
6
Total Citations
91
H-Index
5
About
Oscar Ruiz-Salguero is a leading researcher at the intersection of computer graphics, visual computing, and biomedical engineering, with a core focus on advancing rehabilitation and surgical technologies. His major contributions lie in developing computational methods for precise upper limb posture estimation in robotic and virtual reality-based rehabilitation, a critical need for assessing patient recovery and creating realistic VR therapy environments. His work on inverse kinematics for exoskeleton-assisted rehabilitation, which has garnered significant attention (17+ citations), provides economical and accurate joint angle estimation for patients with nervous system injuries. Ruiz-Salguero also explores the role of visual computing as a key enabler for Industry 4.0 and Operator 4.0, demonstrating how physically-based simulation can create non-disruptive, interactive solutions for smart manufacturing. His notable achievements include the creation of an ultrasound image dataset for evaluating image analysis algorithms and research into optical enhancement of exoskeleton-based motion capture. With his most-cited paper on upper limb posture estimation reaching 31 citations, Ruiz-Salguero’s work is instrumental in bridging the gap between computer graphics, robotics, and clinical practice, driving innovation in both rehabilitation and surgical assistance.
Research Focus
Key Achievements
Top Papers
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- 4Ultrasound Image Dataset for Image Analysis Algorithms Evaluation9 citations · 2015
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- 6Robotic Research Platform for Image-Guided Surgery Assistance2 citations · 2013