Skip to main navigation Skip to search Skip to main content

Eye-based head gestures for interaction in the car

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

    Abstract

    In this paper we suggest using a new method for head gesture recognition in the automotive context. This method involves using only the eye tracker for measuring the head movements through the eye movements when the gaze point is fixed. It allows for identifying a wide range of head gestures that can be used as an alternative input in the multimodal interaction context. Two approaches are described for using this method for interaction with objects inside or outside the car. Some application examples are described where the discrete or continuous head movements in combination with the driver’s visual attention can be used for controlling the objects inside the car.
    Original languageEnglish
    Title of host publicationProceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications : AutomotiveUI '12
    Number of pages4
    PublisherAssociation for Computing Machinery
    Publication date2013
    Pages39-42
    ISBN (Print)978-1-4503-1751-1
    Publication statusPublished - 2013
    Event4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications - Portsmouth, United States
    Duration: 17 Oct 201219 Oct 2012
    Conference number: 4
    http://www.auto-ui.org/12/

    Conference

    Conference4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
    Number4
    Country/TerritoryUnited States
    CityPortsmouth
    Period17/10/201219/10/2012
    Internet address

    Keywords

    • head gesture recognition
    • eye tracking
    • automotive interaction
    • multimodal interaction
    • driver attention

    Fingerprint

    Dive into the research topics of 'Eye-based head gestures for interaction in the car'. Together they form a unique fingerprint.

    Cite this