Silvia Traverso
Integration of IMU-based Motion Tracking Algorithms into Wearable Devices for Human Joint Angle Estimation.
Rel. Danilo Demarchi, Fabio Rossi, Andrea Mongardi. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2023
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Abstract
Motion capture technologies generate real-time data that dynamically represents the position and orientation of a human body in three-dimensional (3D) space. In the clinical medicine and rehabilitation fields, the electromyography (EMG) is commonly used for interpreting patients’ muscle conditions but does not give information about the objective performance of movement execution. This technique can be combined with motion capture technologies to track patient improvement and guide therapy. Since the 1980s, many technologies have been tested to track human motion. Visual marker-based tracking systems are considered the gold standard in this field. However, they are expensive and restrict the analysis to a laboratory setting.
Inertial measurement units (IMU) are now at the center of the research to overcome these problems
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