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
Link To Document :
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