@inproceedings{oai:kyutech.repo.nii.ac.jp:00004586,
 author = {Isoda, Tatsuya and Nohara, Yasunobu and Inoue, Sozo and 井上, 創造 and Shirouzu, Mako and Sugiyama, Yasuhiko and Hirata, Mari and Machida, Kyoko and Nakashima, Naoki},
 book = {Proceedings of the 47th ISCIE International Symposium on Stochastic Systems Theory and Its Applications ISCIE SSS '15},
 month = {Dec},
 note = {In recent years, big data are utilized in many industries.In this study, in order to analyze duties of thenurses, we performed experiments to collect the dutiesactivity data of the nurses for a long term. Weset 38 nurses as subjects and asked them to carry outduties while attaching a wearable small sensor device,and collected the acceleration data, meeting informationbetween nurses and the nurse duties information.In addition, we collected the location information of the nurses by using infrared information and communication equipment at the same time. From various data collected, we analyzed intensity and positional information of duties activity of the nurse, meeting information and the duties information between nurses and considered the influence that each factor affected to the nurse. As the result, we found that intensity of the activity increases in such nurses as who has many times of meeting with other nurses, visits the patient room many times, or who works on jobs concerning with the assistance of the patients such as rehabilitation assistance duties or the activity assistance duties, The 47th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'15), December 5-8, 2015, Waikiki Beach Marriott Resort & Spa, Hawaii, USA},
 pages = {196--203},
 publisher = {Institute of Systems, Control and Information Engineers},
 title = {Nursing Activity Sensing Using Mobile Sensors and Proximity Sensors},
 year = {2015},
 yomi = {イノウエ, ソウゾウ}
}