Title: Medical and Caregiving Applications of Human Sensing and Activity Recognition
In this talk, we introduce activity recognition technology using mobile type sensors including smartphones and applications to medical and nursing fields. Although a lot of activity recognition technology has already been introduced, there are many challenges in collecting realistic datasets and developing algorithms for complicated and long-term activities. To this problem, from our research, we proposed a method [UbiComp2015] that uses prior knowledge of the activity segment of the day, and a method that automatically corrects when the timing of the labels are inaccurate [MobiQuitou2016]. We also proposed a method [MobiQuitous2016] that corrects differences among individuals by transfer learning. Along with these works, we talk about the future prediction of nursing work volume and patient prognosis in combination with medical data in the hospital[UBI16], and talk about the trial of recognizing whole staffs’ activities in nursing homes for 4 months [UBI17].
Sozo INOUE is an associate professor in Kyushu Institute of Technology, Japan. His research interests include human activity recognition with smartphones and healthcare application of web/pervasive/ubiquitous systems. Inoue has a Ph.D. in 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, a visiting professor at Karlsruhe Institute of Technology, Germany, in 2014, and a special researcher at Institute of Systems, Information Technologies and Nanotechnologies (ISIT) during 2015-2016. He is a technical advisor to TeamAIBOD Co. Ltd since 2017 and a guest researcher at RIKEN Center for Advanced Intelligence Project (AIP).