Stammdaten

Titel: Information Difference of Transfer Entropies between Head Motion and Eye Movement Indicates a Proxy of Driving
Untertitel:
Kurzfassung:

Visual scanning is achieved via head motion and gaze movement for visual information acquisition and cognitive processing, which plays a critical role in undertaking common sensorimotor tasks such as driving. The coordination of the head and eyes is an important human behavior to make a key contribution to goal-directed visual scanning and sensorimotor driving. In this paper, we basically investigate the two most common patterns in eye–head coordination: “head motion earlier than eye movement” and “eye movement earlier than head motion”. We utilize bidirectional transfer entropies between head motion and eye movements to determine the existence of these two eye–head coordination patterns. Furthermore, we propose a unidirectional information difference to assess which pattern predominates in head–eye coordination. Additionally, we have discovered a significant correlation between the normalized unidirectional information difference and driving performance. This result not only indicates the influence of eye–head coordination on driving behavior from a computational perspective but also validates the practical significance of our approach utilizing transfer entropy for quantifying eye–head coordination.

Schlagworte: head-eye coordination, unidirectional information difference, transfer entropy, behaviometrics
Publikationstyp: Beitrag in Zeitschrift (Autorenschaft)
Erscheinungsdatum: 19.12.2023 (Online)
Erschienen in: Entropy
Entropy
zur Publikation
 ( MDPI Publishing; )
Titel der Serie: Special Issue: Information-Theoretic Methods in Data Analytics
Bandnummer: 26
Heftnummer: 1
Erstveröffentlichung: Ja
Version: -
Seite: S. 1 - 15
Gesamtseitenanzahl: 3 S.

Versionen

Keine Version vorhanden
Erscheinungsdatum: 19.12.2023
ISBN (e-book): -
eISSN: 1099-4300
DOI: http://dx.doi.org/10.3390/e26010003
Homepage: https://www.mdpi.com/1099-4300/26/1/3
Open Access
  • Online verfügbar (Open Access)

Zuordnung

Organisation Adresse
Fakultät für Technische Wissenschaften
 
Institut für Informationstechnologie
Universitaetsstr. 65-67
9020 Klagenfurt am Wörthersee
Österreich
   martina.steinbacher@aau.at
http://itec.aau.at/
zur Organisation
Universitaetsstr. 65-67
AT - 9020  Klagenfurt am Wörthersee

Kategorisierung

Sachgebiete
  • 1020 - Informatik
Forschungscluster Kein Forschungscluster ausgewählt
Zitationsindex
  • Science Citation Index Expanded (SCI Expanded)
Informationen zum Zitationsindex: Master Journal List
Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: III)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Verteilte Systeme

Kooperationen

Organisation Adresse
Tianjin University
Tianjin
China
CN  Tianjin
University of Huddersfield
Huddersfield
Großbrit. u. Nordirland
GB  Huddersfield

Beiträge der Publikation

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