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.
|ジャーナル||IS and T International Symposium on Electronic Imaging Science and Technology|
|出版ステータス||Published - 2018 1月 1|
|イベント||Intelligent Robotics and Industrial Applications using Computer Vision 2018, IRIACV 2018 - Burlingame, United States|
継続期間: 2018 1月 28 → 2018 2月 1
ASJC Scopus subject areas
- コンピュータ グラフィックスおよびコンピュータ支援設計
- コンピュータ サイエンスの応用