Child behavior recognition in social robot interaction using stacked deep neural networks and biomechanical signals

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27730%2F25%3A10259012" target="_blank" >RIV/61989100:27730/25:10259012 - isvavai.cz</a>

Result on the web

<a href="https://www.nature.com/articles/s41598-025-19728-7" target="_blank" >https://www.nature.com/articles/s41598-025-19728-7</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/s41598-025-19728-7" target="_blank" >10.1038/s41598-025-19728-7</a>

Result language

angličtina

Original language name

Child behavior recognition in social robot interaction using stacked deep neural networks and biomechanical signals

Original language description

With the growing integration of social robots into pediatric environments, understanding and monitoring child-robot interaction has become increasingly important. Toward the advancement of biomechanical monitoring systems for pediatric applications, this study presents an innovative approach employing stacked Deep Neural Networks (DNNs) for the objective monitoring of interaction dynamics between children and social robots. The study focuses on quantitatively analyzing behaviors exhibited by children towards four types of social robots, each equipped with accelerometers and gyroscopes. These sensors capture vibration signals and angular displacements, translating them into statistical features-Kurtosis (K) for accelerometer data and Signal Magnitude Area (SMA) for gyroscope data. This transformation facilitates an objective analysis of the interaction dynamics. The model demonstrates high efficacy with accuracy, precision, recall, and F1 scores of 0.941, 0.94, 0.941, and 0.939, respectively. While the initial emphasis of this research is on the development of the stacked DNN model, the study also sets the stage for future applications in real-time mobile monitoring and biomedical robotics. This research contributes to the understanding of child-robot interactions by setting an objective and developmental stage-appropriate perspective, and paves the way for advancements in interactive technologies within developmental contexts.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20200 - Electrical engineering, Electronic engineering, Information engineering

Project

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Continuities

O - Projekt operacniho programu

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Scientific Reports

ISSN

2045-2322

e-ISSN

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Volume of the periodical

15

Issue of the periodical within the volume

1

Country of publishing house

GB - UNITED KINGDOM

Number of pages

13

Pages from-to

1-13

UT code for WoS article

001596281700011

EID of the result in the Scopus database

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