Sentiment pen : recognizing emotional context based on handwriting features

Link:
Autor/in:
Beteiligte Personen:
  • Keio University
  • Keio University
  • Keio University
  • The University of Tokyo
  • The University of Tokyo
  • Hochschule für Angewandte Wissenschaften Hamburg
  • Keio University
  • #NODATA#
  • #NODATA#
  • #NODATA#
  • #NODATA#
  • #NODATA#
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  • Tokyo
  • Tokyo
  • Tokyo
  • Tokyo
  • Tokyo
  • Hamburg
  • Tokyo
  • Japan
  • Japan
  • Japan
  • Japan
  • Japan
  • Germany
  • Japan
  • https://api.elsevier.com/content/affiliation/affiliation_id/60025997
  • https://api.elsevier.com/content/affiliation/affiliation_id/60025997
  • https://api.elsevier.com/content/affiliation/affiliation_id/60025997
  • https://api.elsevier.com/content/affiliation/affiliation_id/60025272
  • https://api.elsevier.com/content/affiliation/affiliation_id/60025272
  • https://api.elsevier.com/content/affiliation/affiliation_id/60032697
  • https://api.elsevier.com/content/affiliation/affiliation_id/60025997
Verlag/Körperschaft:
Association for Computing Machinery
Erscheinungsjahr:
2019
Medientyp:
Text
Schlagworte:
  • Affective computing
  • Emotional recognition
  • Handwriting analysis
  • 004: Informatik
  • ddc:004
Beschreibung:
  • PeerReviewed
Quellsystem:
ReposIt
Interne Metadaten
Quelldatensatz
oai:reposit.haw-hamburg.de:20.500.12738/15862