Human Activity Recognition Challenge: 199 (Smart Innovation, Systems and Technologies, 199)

The book introduces some challenging methods and solutions to solve the human activity recognition challenge. This book highlights the challenge that will lead the researchers in academia and industry to move further related to human activity recognition and behavior analysis, concentrating on cooking challenge. Current activity recognition systems focus on recognizing either the complex label (macro-activity) or the small steps (micro-activities) but their combined recognition is critical for analysis like the challenge proposed in this book. It has 10 chapters from 13 institutes and 8 countries (Japan, USA, Switzerland, France, Slovenia, China, Bangladesh, and Columbia).

Md Atiqur Rahman Ahad, SMIEEE, is Professor, University of Dhaka (DU), and Specially Appointed Associate Professor, Osaka University. He did B.Sc. (Honors) & Masters (DU), Masters (University of New South Wales), and Ph.D. (Kyushu Institute of Technology) and is JSPS Postdoctoral Fellow and Visiting Researcher. His authored books are “Motion History Images for Action Recognition and Understanding,” in Springer; “Computer Vision and Action Recognition,” in Springer; “IoT-sensor based Activity Recognition,” in Springer (in press). He has been authoring/editing a few more books. He published 130+ peer-reviewed papers, 60+ keynote/invited talks, 25+ Awards/Recognitions. He is Editorial Board Member of Scientific Reports, Nature; Associate Editor of Frontiers in Computer Science; Editor of the International Journal of Affective Engineering; Editor-in-Chief: International Journal of Computer Vision & Signal Processing; General Chair: 9th ICIEV; 4th IVPR; 2nd ABC; Guest-Editor:Pattern Recognition Letters, Elsevier; JMUI, Springer; JHE, Hindawi; IJICIC; Member: OSA, ACM, IAPR.

Sozo INOUE is a Full 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, 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 dataset for 4 months combined with smart meter data. 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 Kyushu University, Japan. He then moved to the Research Department at 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, moved to the 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 the Institute of Systems, Information Technologies and Nanotechnologies (ISIT) during 2015–2016, and a Guest Professor at the University of Los Andes in Colombia in 2019. He is 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 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).