Using Inertial Measurement Units (IMU) and Comparative Trajectory Analysis for Modeling Micro-level Human Motion Dysfunction

Abstract: Ubiquitous sensing from smartphones and wearable devices has proven to be useful for applications ranging from sports to modern medicine. The aim of this paper is to propose a visualization framework to illustrate the points in time when a query trajectory is deviating the most from a reference trajectory. Validation is performed through the use of a novel post ACL reconstruction dataset. Validation is performed through wearable sensing data collected from 11 patients recovering from ACL reconstruction and 10 healthy participants. Results provide promising insights about how this method can be used to visualize anomalies in motion trajectories and to detect abnormal motion patterns.

Keywords: IMU, ubiquitous sensing, trajectory analysis, motion modeling

DOI: 10.54941/ahfe1001471

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