• DocumentCode
    2331080
  • Title

    Cooking procedure recognition and inference in sensor embedded kitchen

  • Author

    Nakauchi, Yasushi ; Suzuki, Takuo ; Tokumasu, Akira ; Murakami, Sho

  • Author_Institution
    Dept. of Intell. Interaction Technol., Univ. of Tsukuba, Tsukuba, Japan
  • fYear
    2009
  • fDate
    Sept. 27 2009-Oct. 2 2009
  • Firstpage
    593
  • Lastpage
    600
  • Abstract
    This paper proposes cooking support using ubiquitous sensors. We developed a machine learning algorithm that recognizes cooking procedures by taking into account widely varying sensor information and user behavior. To provide appropriate instructions to users, we developed a Markov-model-based behavior prediction algorithm. Using these algorithms, we developed cooking support automatically displaying cooking instruction videos based on user progress. Experiments and experimental results confirmed the feasibility of our proposed cooking support.
  • Keywords
    CCD image sensors; Markov processes; home computing; image recognition; inference mechanisms; intelligent sensors; learning (artificial intelligence); ubiquitous computing; CCD camera; Markov-model-based behavior prediction algorithm; cooking instruction video; cooking procedure recognition; inference mechanism; machine learning algorithm; sensor embedded kitchen; ubiquitous sensor; user behavior; Charge coupled devices; Charge-coupled image sensors; Foot; Infrared detectors; Machine learning algorithms; RFID tags; Robot sensing systems; Sensor systems; Switches; Videos;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robot and Human Interactive Communication, 2009. RO-MAN 2009. The 18th IEEE International Symposium on
  • Conference_Location
    Toyama
  • ISSN
    1944-9445
  • Print_ISBN
    978-1-4244-5081-7
  • Electronic_ISBN
    1944-9445
  • Type

    conf

  • DOI
    10.1109/ROMAN.2009.5326050
  • Filename
    5326050