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Analysis of institutional authors

Martín-Ruiz M-LAuthor

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October 3, 2022
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Proceedings Paper
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Artificial Vision Algorithm for Behavior Recognition in Children with ADHD in a Smart Home Environment

Publicated to: Lecture Notes In Networks And Systems. 542 LNNS 661-671 - 2023-01-01 542 LNNS(), DOI: 10.1007/978-3-031-16072-1_47

Authors:

Berrezueta-Guzman, J; Krusche, S; Serpa-Andrade, L; Martín-Ruiz, ML
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Affiliations

Tech Univ Munich, D-80333 Munich, Germany - Author
Univ Politecn Madrid, Madrid 28031, Spain - Author
Univ Politecn Salesiana, Cuenca 010105, Ecuador - Author
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Abstract

Artificial vision has made a great advance in the recognition of visual patterns that are not perceptible by humans or that are biased in their interpretation. Among its applications, artificial vision or computer vision has served in the support of people with some kind of disability. In this work, an image classification algorithm is developed to complement a pervasive therapy support system for children with Attention Deficit Hyperactivity Disorder (ADHD) during the development of their homework. For this purpose, a camera is adapted within a smart environment made up of Smart objects and a robotic assistant. In the system, a convolutional neural network (CNN) is implemented for the classification of the child’s status (doing or not doing his/her homework). An experiment of this implementation is carried out in which the results of the environment without the camera are compared with the results obtained by using the camera and the implemented CNN. The latter results are also compared with the information collected through observation by the therapist during the session. The results show that what the camera identifies as the child not doing homework matches what the smart objects identify as distractions and pauses at 82.70% and what the therapist identifies as distractions and pauses at 98.21%. This approach will help the smart home environment have new and more accurate data to process and make better decisions, just like a therapist would do.
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Keywords

adhdcomputer visionconvolutional neural networksroboticssmart homeAdhdArtificial visionComputer visionConvolutional neural networksRoboticsSmart home

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Lecture Notes In Networks And Systems, Q4 Agency Scopus (SJR), its regional focus and specialization in Signal Processing, give it significant recognition in a specific niche of scientific knowledge at an international level.

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 2025-12-21:

  • WoS: 1
  • Scopus: 8
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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 2025-12-21:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 7.
  • 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: 8 (PlumX).

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

  • The Total Score from Altmetric: 3.
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Leadership analysis of institutional authors

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

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: Last Author (MARTIN RUIZ, MARIA LUISA).

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