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Article

Visual Robotic Perception System with Incremental Learning for Child–Robot Interaction Scenarios

1
School of Electrical and Computer Engineering, National Technical University of Athens, 15780 Zografou, Greece
2
Department of Electrical and Computer Engineering, University of Thessaly, 38221 Volos, Greece
*
Author to whom correspondence should be addressed.
Academic Editor: Fillia Makedon
Technologies 2021, 9(4), 86; https://doi.org/10.3390/technologies9040086
Received: 16 October 2021 / Revised: 8 November 2021 / Accepted: 10 November 2021 / Published: 15 November 2021
(This article belongs to the Collection Selected Papers from the PETRA Conference Series)
This paper proposes a novel lightweight visual perception system with Incremental Learning (IL), tailored to child–robot interaction scenarios. Specifically, this encompasses both an action and emotion recognition module, with the former wrapped around an IL system, allowing novel actions to be easily added. This IL system enables the tutor aspiring to use robotic agents in interaction scenarios to further customize the system according to children’s needs. We perform extensive evaluations of the developed modules, achieving state-of-the-art results on both the children’s action BabyRobot dataset and the children’s emotion EmoReact dataset. Finally, we demonstrate the robustness and effectiveness of the IL system for action recognition by conducting a thorough experimental analysis for various conditions and parameters. View Full-Text
Keywords: visual perception; visual learning; incremental learning; action recognition; emotion recognition; child–robot interaction visual perception; visual learning; incremental learning; action recognition; emotion recognition; child–robot interaction
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MDPI and ACS Style

Efthymiou, N.; Filntisis, P.P.; Potamianos, G.; Maragos, P. Visual Robotic Perception System with Incremental Learning for Child–Robot Interaction Scenarios. Technologies 2021, 9, 86. https://doi.org/10.3390/technologies9040086

AMA Style

Efthymiou N, Filntisis PP, Potamianos G, Maragos P. Visual Robotic Perception System with Incremental Learning for Child–Robot Interaction Scenarios. Technologies. 2021; 9(4):86. https://doi.org/10.3390/technologies9040086

Chicago/Turabian Style

Efthymiou, Niki, Panagiotis P. Filntisis, Gerasimos Potamianos, and Petros Maragos. 2021. "Visual Robotic Perception System with Incremental Learning for Child–Robot Interaction Scenarios" Technologies 9, no. 4: 86. https://doi.org/10.3390/technologies9040086

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