Alireza Bilesan

Papers

Total Citations

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About

Alireza Bilesan is a researcher advancing accessible, high-precision motion capture technology, with a focus on biomechanics and human motion analysis. His work centers on making sophisticated kinematic tracking affordable and user-friendly, primarily by leveraging the Microsoft Kinect sensor. Bilesan’s major contributions include developing marker-based methods to enhance the Kinect’s accuracy, as demonstrated in his most-cited paper, "Marker-based motion tracking using Microsoft Kinect" (2018, 26 citations), which addresses the cost and complexity of commercial systems. He further refined this approach in "Improved 3D Human Motion Capture Using Kinect Skeleton and Depth Sensor" (2021, 20 citations), overcoming limitations in landmark tracking precision. His 2019 study, "Markerless Human Motion Tracking Using Microsoft Kinect SDK and Inverse Kinematics" (13 citations), introduced inverse kinematics to boost reliability without expensive equipment. With a cumulative impact of nearly 60 citations across these key works, Bilesan’s research bridges the gap between high-cost commercial systems and practical, low-cost alternatives, enabling broader applications in rehabilitation, sports science, and animation. His innovative use of depth sensors and algorithmic improvements marks him as a notable contributor to democratizing motion capture technology.