An Audiovisual Child Emotion Recognition System for Child-Robot Interaction Applications
| dc.creator | Filntisis P.P., Efthymiou N., Potamianos G., Maragos P. | en |
| dc.date.accessioned | 2023-01-31T07:38:02Z | |
| dc.date.available | 2023-01-31T07:38:02Z | |
| dc.date.issued | 2021 | |
| dc.identifier | 10.23919/EUSIPCO54536.2021.9616106 | |
| dc.identifier.isbn | 9789082797060 | |
| dc.identifier.issn | 22195491 | |
| dc.identifier.uri | http://hdl.handle.net/11615/71590 | |
| dc.description.abstract | We present an audiovisual emotion recognition system tailored to child-robot interaction scenarios. Our proposed system is based on deep learning and the Temporal Segment Networks framework, receives input from both the child's speech and video modalities (the latter represented as RGB and optical flow streams), and tackles several challenges that arise in emotion recognition and child-robot interaction. The system is evaluated on the EmoReact child emotion recognition dataset, significantly outperforming the state-of-the-art on this corpus. In addition, extensive ablation studies are conducted. © 2021 European Signal Processing Conference. All rights reserved. | en |
| dc.language.iso | en | en |
| dc.source | European Signal Processing Conference | en |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123183143&doi=10.23919%2fEUSIPCO54536.2021.9616106&partnerID=40&md5=4edaf730c0358537ad0ad223192b0ac3 | |
| dc.subject | Deep learning | en |
| dc.subject | Robots | en |
| dc.subject | Audio-visual fusion | en |
| dc.subject | Audiovisual emotion recognition | en |
| dc.subject | Audiovisual fusion | en |
| dc.subject | Child-robot interactions | en |
| dc.subject | Children's speech | en |
| dc.subject | Emotion recognition | en |
| dc.subject | Multi-modality | en |
| dc.subject | Network frameworks | en |
| dc.subject | Recognition systems | en |
| dc.subject | Temporal segments | en |
| dc.subject | Speech recognition | en |
| dc.subject | European Signal Processing Conference, EUSIPCO | en |
| dc.title | An Audiovisual Child Emotion Recognition System for Child-Robot Interaction Applications | en |
| dc.type | conferenceItem | en |
Fichier(s) constituant ce document
| Fichiers | Taille | Format | Vue |
|---|---|---|---|
|
Il n'y a pas de fichiers associés à ce document. |
|||
Ce document figure dans la(les) collection(s) suivante(s)
Related items
Showing items related by title, author, creator and subject.
-
Resource-efficient TDNN Architectures for Audio-visual Speech Recognition
(2021)In this paper, we consider the problem of resource-efficient architectures for audio-visual automatic speech recognition (AVSR). Specifically, we complement our earlier work that introduced efficient convolutional neural ... -
Low-Complexity Hand Gesture Recognition System for Continuous Streams of Digits and Letters
(2016)In this paper, we propose a complete gesture recognition framework based on maximum cosine similarity and fast nearest neighbor (NN) techniques, which offers high-recognition accuracy and great computational advantages for ... -
ChildBot: Multi-robot perception and interaction with children
(2022)In this paper, we present an integrated robotic system capable of participating in and performing a wide range of educational and entertainment tasks collaborating with one or more children. The system, called ChildBot, ...