Publicación:
An Evaluation of Physiological Public Datasets for Emotion Recognition Systems
An Evaluation of Physiological Public Datasets for Emotion Recognition Systems
| dc.contributor.author | Mendoza A. | es_PE |
| dc.contributor.author | Cuno A. | es_PE |
| dc.contributor.author | Condori-Fernandez N. | es_PE |
| dc.contributor.author | Lovón W.R. | es_PE |
| dc.date.accessioned | 2024-05-30T23:13:38Z | |
| dc.date.available | 2024-05-30T23:13:38Z | |
| dc.date.issued | 2021 | |
| dc.description | Acknowledgment. A. Mendoza, A. Cuno, N. Condori-Fernandez and W. Ramos acknowledge financial support from the “Proyecto Concytec - Banco Mundial, Mejo-ramiento y Ampliación de los Servicios del Sistema Nacional de Ciencia Tecnología e Innovación Tecnológica” 8682-PE, through its executing unit FONDECYT [Contract N? 014-2019-FONDECYT-BM-INC.INV]. Also, this work has been partially supported by Datos 4.0 (TIN2016-78011-C4-1-R) funded by MINECO-AEI/FEDER-UE. | |
| dc.description.abstract | [Background] The performance of emotion recognition systems depends heavily on datasets used in their training, validation, or testing stages. [Aims] This research aims to evaluate the extent to which public available physiological datasets created for emotion recognition systems meet a set of reference requirements. [Method] Firstly, we analyze the applicability of some reference requirements proposed for stress datasets and adjust the corresponding evaluation criteria. Secondly, nine public physiological datasets were identified from a previous survey. [Results] None of the evaluated datasets satisfy all the reference requirements in order to be considered as a reference dataset for being used in the construction of reliable emotion recognition systems. [Conclusion] Although the evaluated datasets do not support the whole reference requirements, they provide a baseline for further development. Also, a greater effort is needed to establish specific reference requirements that can appropriately guide the creation of physiological datasets for emotion recognition systems. © 2021, Springer Nature Switzerland AG. | |
| dc.description.sponsorship | Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concytec | |
| dc.identifier.doi | https://doi.org/10.1007/978-3-030-76228-5_7 | |
| dc.identifier.scopus | 2-s2.0-85111098913 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12390/2966 | |
| dc.language.iso | eng | |
| dc.publisher | Springer Science and Business Media Deutschland GmbH | |
| dc.relation.ispartof | Communications in Computer and Information Science | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Reference requirements | |
| dc.subject | Assessment | es_PE |
| dc.subject | Physiological datasets | es_PE |
| dc.subject.ocde | https://purl.org/pe-repo/ocde/ford#2.02.04 | |
| dc.title | An Evaluation of Physiological Public Datasets for Emotion Recognition Systems | |
| dc.type | info:eu-repo/semantics/conferenceObject | |
| dspace.entity.type | Publication |