Sozo Inoue, PhD, is a Professor in the 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, 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 is 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. 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 is a technical advisor of Team AIBOD Co. Ltd since 2017, and a guest researcher at RIKEN Center for Advanced Intelligence Project (AIP) since 2017. 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). Guillaume Lopez, PhD, received an M.E. in Computer Engineering from INSA Lyon, a M.Sc. and a Ph.D. in Environmental Studies from the University of Tokyo in 2000, 2002, and 2005 respectively. He worked as a research engineer at Nissan Motor Corp. from September 2005, and as a project dedicated Assistant Professor at the University of Tokyo from March 2009. In April 2013, he joined Aoyama Gakuin University as an Associate Professor of the Department of Integrated Information Technology. Full Professor since April 2020, his research interests include lifestyle enhancement, skill science, and healthcare support based on intelligent information systems using wearable sensing technology. His professional memberships include the AAAC, ACM, AHI, IEEE, IPSJ, SICE. Tahera Hossain, PhD, is a Postdoctoral Researcher at the Kyushu Institute of Technology, Japan. Md Atiqur Rahman Ahad, PhD, SMIEEE, SMOPTICA, is an Associate Professor of AI and Machine Learning at University of East London, UK; Visiting Professor of Kyushu Institute of Technology, Japan. He worked as a Professor, University of Dhaka (DU); and a Specially Appointed Associate Professor, Osaka University. He studied at the University of Dhaka, University of New South Wales, and Kyushu Institute of Technology. His authored books are: "IoT-sensor based Activity Recognition"; "Motion History Images for Action Recognition and Understanding"; "Computer Vision and Action Recognition", in Springer along with several edited books. He published ~200 peer-reviewed papers, ~150 keynote/invited talks, ~40 Awards/Recognitions. He is an Editorial Board Member of Scientific Reports, Nature; Assoc. Editor of Frontiers in Computer Science; Editor of Int. Journal of Affective Engineering; Editor-in-Chief: Int. Journal of Computer Vision & Signal Processing http://cennser.org/IJCVSP; General Chair: 10th ICIEV http://cennser.org/ICIEV; 5th IVPR http://cennser.org/IVPR; 4th ABC https://abc-research.github.io, Guest-Editor: Pattern Recognition Letters, Elsevier; JMUI, Springer; JHE, Hindawi; IJICIC; Member: ACM, IAPR. More: http://AhadVisionLab.com
