Xiangren Shi

Xiangren Shi is a researcher at Bournemouth University, contributing to fields such as motion capture, robotics, and machine learning. His work focuses on enhancing inertial motion capture systems using transformers and optimizing 3D point-cloud compression with convolutional neural networks.

• Research Interests: Motion capture algorithms, sensor calibration, machine learning applications in robotics, point-cloud processing, teleoperation systems, and sensor fusion.

Recent publications highlight advancements in dynamic on-body IMU calibration for motion capture and real-time humanoid teleoperation systems. His work integrates neural networks for sensor optimization and 3D motion analysis. Key trends include wearable sensor technologies, signal processing, and 3D reconstruction techniques.