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Trujillo Guerrero, María FernandaAuthorMachine Learning to Determine Upper Extremity Motion from Inertial Measurement Unit Signals
Publicated to:6th Ieee Ecuador Technical Chapters Meeting, Etcm 2022. - 2022-01-01 (), DOI: 10.1109/ETCM56276.2022.9935735
Authors: Tobar A; López B; Trujillo MF; Rosales A
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Abstract
Within the medical field and more specialized focus on the therapeutic part, the anatomical analysis of human limbs is a highly important issue, to improve the way in which ailments are treated at the movement level. For these reasons, part of the technological studies has focused on the detection of human movements and activities, to obtain an accurate interpretation within a computational system. The present project has a technological approach in the detection of characteristic movements of the human upper extremity with the use of positioning sensors; and with the information obtained from these, could make use of machine learning to detect such movements. Finally, these information and results from the machine learning will be displayed through the use of a graphical interface.
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This work has been carried out with international collaboration, specifically with researchers from: Ecuador.