Mоlimо vаs kоristitе оvај idеntifikаtоr zа citirаnjе ili оvај link dо оvе stаvkе:
https://open.uns.ac.rs/handle/123456789/18888
Pоljе DC-а | Vrеdnоst | Јеzik |
---|---|---|
dc.contributor.author | Kurbalija Vladimir | - |
dc.contributor.author | Mirjana Ivanovic | - |
dc.contributor.author | Radovanović Miloš | - |
dc.contributor.author | Geler Zoltan | - |
dc.contributor.author | Weihui Dai | - |
dc.contributor.author | Weidong Zhao | - |
dc.date.accessioned | 2020-12-13T13:08:54Z | - |
dc.date.available | 2020-12-13T13:08:54Z | - |
dc.date.issued | 2018 | - |
dc.identifier.issn | 1389-0417 | - |
dc.identifier.uri | https://open.uns.ac.rs/handle/123456789/18888 | - |
dc.description.abstract | © 2018 Elsevier B.V. The electroencephalogram (EEG) is a powerful method for investigation of different cognitive processes. Recently, EEG analysis became very popular and important, with classification of these signals standing out as one of the mostly used methodologies. Emotion recognition is one of the most challenging tasks in EEG analysis since not much is known about the representation of different emotions in EEG signals. In addition, inducing of desired emotion is by itself difficult, since various individuals react differently to external stimuli (audio, video, etc.). In this article, we explore the task of emotion recognition from EEG signals using distance-based time-series classification techniques, involving different individuals exposed to audio stimuli. Furthermore, since some of the participants in the experiment do not understand the language of the stimuli, we also investigate the impact of language understanding on emotion perception. Using time-series distances as features for the construction of new data representations, applied here for the first time to emotion recognition and related tasks, lead to excellent classification performance, indicating that differences between EEG signals can be used to build successful models for recognition of emotions, individuals, and other related tasks. In the process, we observed that cultural differences between the subjects did not have a significant impact on the recognition tasks and models. | - |
dc.language.iso | en | - |
dc.relation.ispartof | Cognitive Systems Research | - |
dc.source | CRIS UNS | - |
dc.source.uri | http://cris.uns.ac.rs | - |
dc.title | Emotion perception and recognition: An exploration of cultural differences and similarities | - |
dc.type | Journal/Magazine Article | - |
dc.identifier.doi | 10.1016/j.cogsys.2018.06.009 | - |
dc.identifier.scopus | 85049457771 | - |
dc.identifier.url | https://www.cris.uns.ac.rs/record.jsf?recordId=108640&source=BEOPEN&language=en | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85049457771 | - |
dc.relation.lastpage | 116 | - |
dc.relation.firstpage | 103 | - |
dc.relation.volume | 52 | - |
dc.identifier.externalcrisreference | (BISIS)108640 | - |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
crisitem.author.dept | Departman za matematiku i informatiku | - |
crisitem.author.dept | Departman za matematiku i informatiku | - |
crisitem.author.dept | Departman za matematiku i informatiku | - |
crisitem.author.dept | Odsek za medijske studije | - |
crisitem.author.orcid | 0000-0002-9599-4495 | - |
crisitem.author.orcid | 0000-0003-1946-0384 | - |
crisitem.author.orcid | 0000-0003-2225-7803 | - |
crisitem.author.parentorg | Prirodno-matematički fakultet | - |
crisitem.author.parentorg | Prirodno-matematički fakultet | - |
crisitem.author.parentorg | Prirodno-matematički fakultet | - |
crisitem.author.parentorg | Filozofski fakultet | - |
Nаlаzi sе u kоlеkciјаmа: | FF Publikacije/Publications PMF Publikacije/Publications |
SCOPUSTM
Nаvоđеnjа
18
prоvеrеnо 10.05.2024.
Prеglеd/i stаnicа
50
Prоtеklа nеdеljа
11
11
Prоtеkli mеsеc
6
6
prоvеrеnо 10.05.2024.
Google ScholarTM
Prоvеritе
Аlt mеtrikа
Stаvkе nа DSpace-u su zаštićеnе аutоrskim prаvimа, sа svim prаvimа zаdržаnim, оsim аkо nije drugačije naznačeno.