| Redner Info | Assoc. Prof., Kyushu Inst. Tech. |
| Beginn | 09.09.2016, 15:00 Uhr |
| Ort | TU Braunschweig, Informatikzentrum, Mühlenpfordtstrße 23, 1. OG, Hörsaal M 161 |
| Eingeladen durch | Prof. Dr. Reinhold Haux |
| In this talk, we firstly introduce our work where we proposed for recognizing whole day activities using prior knowledge, and applied the method for real nursing sensor dataset we have collected. Then, we introduce the method for predicting near future of nurses by integrating nurse activity data, location data, and medical records. For both works, we independently collected real and open nursing datasets with 2 weeks of accelerometers and training labels from 22 nurses for the former work, and nurse activity, location, medical payment, and nursing needs data from 35 nurses and 96 patients for 40 days for the latter work. Short Bio.: Sozo INOUE is an associate professor in Kyushu Institute of Technology, Japan. His research interests include human activity recognition with smart phones, and healthcare application of web/pervasive/ubiquitous systems. Currently he is working on verification studies in real field applications, and collecting and providing a large-scale open dataset for activity recognition. Inoue has a Ph.D of Engineering from Kyushu University in 2003. After completion of his degree, he was appointed as an assistant professor in the Faculty of Information Science and Electrical Engineering at the Kyushu University, Japan. He then moved to the Research Department at the Kyushu University Library in 2006. Since 2009, he is appointed as an associate professor in the Faculty of Engineering at Kyushu Institute of Technology, Japan. Meanwhile, he was a guest professor in Kyushu University, and a visiting professor at Karlsruhe Institute of Technology, Germany, in 2014. He is a member of the IEEE Computer Society, the ACM, the Information Processing Society of Japan (IPSJ), the Institute of Electronics, Information and Communication Engineers (IEICE), the Japan Society for Fuzzy Theory and Intelligent Informatics, the Japan Association for Medical Informatics (JAMI), and the Database Society of Japan (DBSJ). | |