Ubicomp Deployment Challenges in Nursing and Caregiving

Sozo Inoue

Professor Graduate School of Life Science and Systems Engineering, Department of Human Intelligence Systems
Kyushu Institute of Technology

In this talk, we address the challenges in ubicomp systems for nursing and caregiving domains. We firstly overview the ubicomp challenges from scientific to practical, along with the social situations of the most ‘advanced’ aging country in the world. One of the characteristics is that the services are mainly provided not based on self- or automated wellbeing, but based on human-based ‘care’ activities, where the wellbeing of both caretakers and caregivers are important.As one of the approaches utilizing the characteristics, we introduce our research on integrating human activity recognition and nursing care records on smartphones [IMWUT2019], followed by the deployment challenge to care facilities by the start up company AUTOCARE LLC. Also, we introduce our research on maximizing the quality of the dataset by applying active learning and gamification concepts [IMWUT2021], utilizing additional sensors only in training phases [ISWC2021], and automating the records by dialogue systems [APAMI2020]. The developed smartphone app FonLog is highly-flexible and usable, so we can utilize the system for many kinds of wellbeing research. We will introduce some examples such as predicting status of Parkinson’s diseases [AppliedSciences2021], or the dataset for predicting office workers’ work engagement from daily activities [ABC2021].

Sozo INOUE is a full professor in National Kyushu Institute of Technology, Japan, and the Chief Technical Officer of AUTOCARE LLC. 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, such as a mobile accelerator dataset with about 35,000 activity data from more than 200 subjects, nurses’ sensor data combined with 100 patients’ sensor data and medical records, and 34 households’ light sensor data set for 4 months combined with smart meter data.
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 has been appointed as an associate professor in the Faculty of Engineering at Kyushu Institute of Technology, Japan, and moved to Graduate School of Life Science and Systems Engineering at Kyushu Institute of Technology in 2018, and appointed as a full professor from 2020. Meanwhile, he was a guest professor in Kyushu University, a visiting professor at Karlsruhe Institute of Technology, Germany, in 2014, a special researcher at Institute of Systems, Information Technologies and Nanotechnologies (ISIT) during 2015-2016, and a guest professor at University of Los Andes in Colombia in 2019. He was a technical advisor of Team AIBOD Co. Ltd during 2017-2019, and a guest researcher at RIKEN Center for Advanced Intelligence Project (AIP) during 2017-2019.
He is a director and a senior member of the Information Processing Society of Japan (IPSJ), a member of the IEEE Computer Society, the ACM, 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).