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Analysis of institutional authors

Gil-Martin MCorresponding AuthorFernández-Martinez FAuthorSan-Segundo RAuthor

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July 24, 2023
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Reducing the Impact of Sensor Orientation Variability in Human Activity Recognition Using a Consistent Reference System

Publicated to: SENSORS. 23 (13): 5845- - 2023-07-01 23(13), DOI: 10.3390/s23135845

Authors:

Gil-Martin, Manuel; Lopez-Iniesta, Javier; Fernandez-Martinez, Fernando; San-Segundo, Ruben
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Affiliations

Univ Politecn Madrid, Informat Proc & Telecommun Ctr, Speech Technol & Machine Learning, ETSI Telecomunicac, Madrid 28040, Spain - Author
Universidad Politécnica de Madrid - Author

Abstract

Sensor- orientation is a critical aspect in a Human Activity Recognition (HAR) system based on tri-axial signals (such as accelerations); different sensors orientations introduce important errors in the activity recognition process. This paper proposes a new preprocessing module to reduce the negative impact of sensor-orientation variability in HAR. Firstly, this module estimates a consistent reference system; then, the tri-axial signals recorded from sensors with different orientations are transformed into this consistent reference system. This new preprocessing has been evaluated to mitigate the effect of different sensor orientations on the classification accuracy in several state-of-the-art HAR systems. The experiments were carried out using a subject-wise cross-validation methodology over six different datasets, including movements and postures. This new preprocessing module provided robust HAR performance even when sudden sensor orientation changes were included during data collection in the six different datasets. As an example, for the WISDM dataset, sensors with different orientations provoked a significant reduction in the classification accuracy of the state-of-the-art system (from 91.57 ± 0.23% to 89.19 ± 0.26%). This important reduction was recovered with the proposed algorithm, increasing the accuracy to 91.46 ± 0.30%, i.e., the same result obtained when all sensors had the same orientation.
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Keywords

acceleration signalsconvolutional neural networksdeep learningforward movement directiongravity estimationsensor-orientation-independentwearable sensorsAccelerationAcceleration signalsAlgorithmsConvolutional neural networksDeep learningForward movement directionGravity estimationHuman activitiesHuman activity recognitionHumansMovementPostureSensor-orientation-independentWearable sensors

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal SENSORS due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2023, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Instrumentation.

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 2026-04-25:

  • Google Scholar: 6
  • WoS: 4
  • Scopus: 6
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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 2026-04-25:

  • 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: 21 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

    It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

    • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
    • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/85332/

    As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

    • Views: 141
    • Downloads: 26
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    Leadership analysis of institutional authors

    There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (GIL MARTIN, MANUEL) and Last Author (SAN SEGUNDO HERNANDEZ, RUBEN).

    the author responsible for correspondence tasks has been GIL MARTIN, MANUEL.

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