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Analysis of institutional authors

Maqueda, Ana I.AuthorDel-Blanco, Carlos R.AuthorJaureguizar, FernandoAuthorGarcia, NarcisoAuthor

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June 9, 2019
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Temporal Pyramid Matching of Local Binary Subpatterns for Hand-Gesture Recognition

Publicated to: IEEE SIGNAL PROCESSING LETTERS. 23 (8): 1037-1041 - 2016-08-01 23(8), DOI: 10.1109/LSP.2016.2579664

Authors:

Maqueda, Ana I; del-Blanco, Carlos R; Jaureguizar, Fernando; Garcia, Narciso
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Affiliations

Univ Politecn Madrid, Grp Tratamiento Imagenes, E-28040 Madrid, Spain - Author

Abstract

Human-computer Interaction systems based on hand-gesture recognition are nowadays of great interest to establish a natural communication between humans and machines. However, the visual recognition of gestures and other human poses remains a challenging problem. In this paper, the original volumetric spatiograms of local binary patterns descriptor has been extended to efficiently and robustly encode the spatial and temporal information of hand gestures. This enhancement mitigates the dimensionality problems of the previous approach, and considers more temporal information to achieve a higher recognition rate. Excellent results have been obtained, outperforming other existing approaches of the state of the art.
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Keywords

Color camerasHand-gesture recognitionHistogramsHuman computer interactionLatticesShapeSignal processingSpatio-temporal descriptorsSpatiotemporal descriptorsSupport vector machine (svm) classifierSvm classifierThree-dimensional displaysVideo sequencesVision basedVision-based

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal IEEE SIGNAL PROCESSING LETTERS 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, 2016, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Electrical and Electronic Engineering. Notably, the journal is positioned above the 90th percentile.

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 2026-04-08:

  • WoS: 11
  • Scopus: 18
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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 2026-04-08:

  • 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: 20 (PlumX).

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/46332/

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: 477
  • Downloads: 519
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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 (MAQUEDA NIETO, ANA ISABEL) and Last Author (GARCIA SANTOS, NARCISO).

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Awards linked to the item

This work was supported in part by the Ministerio de Economia y Competitividad of the Spanish Government under the project TEC2013-48453 (MR-UHDTV).
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