Children age group detection base don human-computer interaction and time series análisis
Entity
UAM. Departamento de Tecnología Electrónica y de las ComunicacionesPublisher
SpringerDate
2024-03-06Citation
10.1007/s10032-024-00462-1
International Journal on Document Analysis and Recognition (2024)
ISSN
1433-2833 (print); 1433-2825 (online)DOI
10.1007/s10032-024-00462-1Funded by
PID2021-126521OB-I00Project
Gobierno de España. PID2021-126521OB-I00Editor's Version
https://doi.org/10.1007/s10032-024-00462-1Subjects
Age Detection; ChildCIdb; Drawing Test; Time Series; e-Health; e-Learning; InformáticaRights
© 2024 The AuthorsAbstract
This article proposes a novel children–computer interaction (CCI) approach for the task of age group detection. This approach focuses on the automatic analysis of the time series generated from the interaction of the children with mobile devices. Inparticular, we extract a set of 25 time series related to spatial, pressure, and kinematic information of the children interaction while colouring a tree through a pen stylus tablet, a specific test from the large-scale public ChildCIdb database. A complete analysis of the proposed approach is carried out using different time series selection techniques to choose the most discriminative ones for the age group detection task: (i) a statistical analysis and (ii) an automatic algorithm called sequential forward search (SFS). In addition, different classification algorithms such as dynamic time warping barycenter averaging (DBA) and hidden Markov models (HMM) are studied. Accuracy results over 85% are achieved, outperforming previous approaches in the literature and in more challenging age group conditions. Finally, the approach presented in this study can benefit many children-related applications, for example, towards an age-appropriate environment with the technology
Files in this item
Google Scholar:Ruiz García, Juan Carlos
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Hojas García-Plaza, Carlos
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Tolosana Moranchel, Rubén
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Vera Rodríguez, Rubén
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Morales Moreno, Aythami
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Fiérrez Aguilar, Julián
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Ortega García, Javier
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Herreros Rodríguez, Jaime
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