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Analysis of institutional authors

Trujillo Guerrero, María FernandaAuthor

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December 5, 2022
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Machine 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

Affiliations

Escuela Politécnica Nacional - Author
Universidad Politécnica de Madrid - Author

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.

Keywords

Artificial intelligenceData trainingInertial measurement sensorsK-nearest neighborsMachine learningMovement detectionNeural networkingSupport vector machine

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2025-07-16:

  • Scopus: 1

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-07-16:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 1 (PlumX).

Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Ecuador.