Eating and drinking recognition via integrated information of head directions and joint positions in a group

Naoto Ienaga, Yuko Ozasa, Hideo Saito

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Recent years have seen the introduction of service robots as waiters or waitresses in restaurants and cafes. In such venues, it is common for customers to visit in groups as well as for them to engage in conversation while eating and drinking. It is important for cyber serving staff to understand whether they are eating and drinking, or not, in order to wait on tables at appropriate times. In this paper, we present a method by which the robots can recognize eating and drinking actions performed by individuals in a group. Our approach uses the positions of joints in the human body as a feature and long short-term memory to achieve a recognition task on time-series data. We also used head directions in our method, as we assumed that it is effective for recognition in a group. The information garnered from head directions and joint positions is integrated via logistic regression and employed in recognition. The results show that this yielded the highest accuracy and effectiveness of the robots' tasks.

本文言語English
ホスト出版物のタイトルICPRAM 2017 - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods
編集者Maria De De Marsico, Gabriella Sanniti di Baja, Ana Fred
出版社SciTePress
ページ527-533
ページ数7
ISBN(電子版)9789897582226
DOI
出版ステータスPublished - 2017
イベント6th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2017 - Porto, Portugal
継続期間: 2017 2 242017 2 26

出版物シリーズ

名前ICPRAM 2017 - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods
2017-January

Other

Other6th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2017
CountryPortugal
CityPorto
Period17/2/2417/2/26

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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