Ir al contenido (pulsa Retorno)

Universitat Politècnica de Catalunya

    • Català
    • Castellano
    • English
    • LoginRegisterLog in (no UPC users)
  • mailContact Us
  • world English 
    • Català
    • Castellano
    • English
  • userLogin   
      LoginRegisterLog in (no UPC users)

UPCommons. Global access to UPC knowledge

57.066 UPC E-Prints
You are here:
View Item 
  •   DSpace Home
  • E-prints
  • Departaments
  • Departament de Ciències de la Computació
  • Ponències/Comunicacions de congressos
  • View Item
  •   DSpace Home
  • E-prints
  • Departaments
  • Departament de Ciències de la Computació
  • Ponències/Comunicacions de congressos
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

A Survey on multimodal data stream mining for e-learner’s emotion recognition

Thumbnail
View/Open
Camera-Ready_IEEE_COINS_2020__Survey_paper.pdf (153,6Kb) (Restricted access)   Request copy 

Què és aquest botó?

Aquest botó permet demanar una còpia d'un document restringit a l'autor. Es mostra quan:

  • Disposem del correu electrònic de l'autor
  • El document té una mida inferior a 20 Mb
  • Es tracta d'un document d'accés restringit per decisió de l'autor o d'un document d'accés restringit per política de l'editorial
Share:
 
 
10.1109/COINS49042.2020.9191370
 
  View Usage Statistics
Cita com:
hdl:2117/329794

Show full item record
Arijit, NandiMés informacióMés informació
Xhafa Xhafa, FatosMés informacióMés informacióMés informació
Subirats, Laia
Fort, Santi
Document typeConference report
Defense date2020
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
Emotions play a crucial role in learning. To improve and optimize electronic learning (e-Learning) outcomes, many researchers have investigated the role of emotions. Also, researchers have come up with many approaches to utilize one or many data modalities to achieve this goal, and they have been successful. But the recent advancements in technology and the internet of things (IoT) devices have brought a new dimension in e-Learning, with many input devices (such as webcams, fit-bands etc.) for interacting with e-Learners. This new dimension brings not only massive amounts of data with volume, variety, and velocity called multimodal data streams but also more challenges of mining those data in real-time. In this work, we have focused on state-of-the-art emotion recognition in e-Learning utilizing the multimodal data streams of learners. Also, we have thoroughly investigated the past research and surveys on emotion recognition methods in e-Learning to find the affecting emotions and their relations with the emotion measurement channels; and we have compared several data-stream classifiers for emotion recognition by utilizing multimodal physiological data streams. Finally, the future research opportunities to be addressed are also discussed
CitationNandi, A. [et al.]. A Survey on multimodal data stream mining for e-learner's emotion recognition. A: IEEE COINS 2020 IEEE International Conference on Omni-Iayer Intelligent Systems. "IEEE COINS 2020: IEEE International Conference on Omni-Iayer Intelligent Systems". Institute of Electrical and Electronics Engineers (IEEE), 2020, p. 188-193. ISBN 978-1-7281-6371-0. DOI 10.1109/COINS49042.2020.9191370. 
URIhttp://hdl.handle.net/2117/329794
DOI10.1109/COINS49042.2020.9191370
ISBN978-1-7281-6371-0
Publisher versionhttps://ieeexplore.ieee.org/document/9191370
Collections
  • Departament de Ciències de la Computació - Ponències/Comunicacions de congressos [1.191]
  • IMP - Information Modeling and Processing - Ponències/Comunicacions de congressos [28]
Share:
 
  View Usage Statistics

Show full item record

FilesDescriptionSizeFormatView
Camera-Ready_IEEE_COINS_2020__Survey_paper.pdfBlocked153,6KbPDFRestricted access

Browse

This CollectionBy Issue DateAuthorsOther contributionsTitlesSubjectsThis repositoryCommunities & CollectionsBy Issue DateAuthorsOther contributionsTitlesSubjects

© UPC Obrir en finestra nova . Servei de Biblioteques, Publicacions i Arxius

info.biblioteques@upc.edu

  • About This Repository
  • Contact Us
  • Send Feedback
  • Inici de la pàgina