An image processing based method for chewing detection using Variable-intensity template

Atsuto Fujimoto*, Takaaki Ohkawauchi, Junji Yamato, Jun Ohya

*Corresponding author for this work

    Research output: Contribution to journalConference articlepeer-review

    2 Citations (Scopus)


    To contribute to the actualization of the care worker assistance robot, this paper proposes a method for detecting whether the care receiver is chewing from the video sequence acquired by the camera that observes that receiver. The proposed method detects the receiver's face and areas for both cheeks and chin. After applying some normalization to the areas, chewing detection that uses a variable-intensity template is performed, where the template consists of shape models, interest points and intensity distribution model. A likelihood based on the variableintensity template is computed so that the receiver is judged whether the receiver is chewing. Experiments using seven subjects are conducted. As a result, the accuracy of chewing detection by the proposed method is 83%, which is quite promising.

    Original languageEnglish
    Pages (from-to)2791-2794
    Number of pages4
    JournalIS and T International Symposium on Electronic Imaging Science and Technology
    VolumePart F138660
    Publication statusPublished - 2018 Jan 1
    EventIntelligent Robotics and Industrial Applications using Computer Vision 2018, IRIACV 2018 - Burlingame, United States
    Duration: 2018 Jan 282018 Feb 1

    ASJC Scopus subject areas

    • Computer Graphics and Computer-Aided Design
    • Computer Science Applications
    • Human-Computer Interaction
    • Software
    • Electrical and Electronic Engineering
    • Atomic and Molecular Physics, and Optics


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