Activity, Behavior, and Healthcare Computing

Forword
Preface
Acknowledgments
About the Editors

Part 1 Activity and Behavior
Chapter 1 PressureTransferNet: Human Attribute Guided Dynamic Ground
Pressure Profile Transfer using 3D simulated Pressure Maps
Lala Shakti Swarup Ray, Vitor Fortes Rey, Bo Zhou, Sungho Suh, Paul
Lukowicz

Chapter 2 SIMUAug: Variability-aware Data Augmentation for Wearable IMU
using Physics Simulation
Nobuyuki Oishi, Daniel Roggen, Phil Birch, and Paula Lago
Chapter 3 Estimation of Muscle Activation during Complex Movement using
Unsupervised Motion Primitives Decomposition of Limb
Kinematics
Mainul Islam Labib, Md. Johir Raihan, and Abdullah-Al Nahid
Chapter 4 Pitcher Identification Method using an Accelerometer and
Gyroscope embedded In a Baseball
Goro Mizuno, Kazuya Murao, Akinori Nagano, Shohei Shibata, and Yuki Yamada
Chapter 5 Design and Implementation of a Long-casting Support System for
Lure Fishing using an Accelerometer
Takashi Ogawa and Kazuya Murao
Chapter 6 Contrastive Left-Right Wearable Sensors (IMUs) Consistency
Matching for HAR
Dominique Nshimyimana, Vitor Fortes Rey, and Paul Lukowicz
Chapter 7 Estimation Method of Doneness for Boiled Eggs and Diced Steaks
using Active Acoustic Sensing
Daiki Takahashi and Kazuya Murao
Part 2 Healthcare
Chapter 1 Older Adults Daily Mobility and Its Connection to DEMMI
Björn Friedrich, Lena Elgert, Daniel Eckhoff, Jürgen Martin Bauer, and
Andreas Hein
Chapter 2 Subjective Stress and Heart Rate Variability Patterns: A Study on
Harassment Detection
Takahiro Ueno and Masayoshi Ohashi
Chapter 3 Analysis of Physiological Variances in Thermal Comfort among
Individuals
Kazuki Honda, Tahera Hossain, Yusuke Kawasaki, and Guillaume Lopez
Chapter 4 Personal Thermal Assessment using Feature Reduction and
Machine Learning Techniques
Afsana Mimi, Md. Golam Rasul, Tanjila Alam Sathi, and Lutfun Nahar Lota
Chapter 5 Analysis of Personal Thermal State using Machine Learning
Algorithms to Prevent Heatstroke
Afroza Rahman, Md Ibrahim Mamun, Shahera Hossain, and Md Atiqur
Rahman Ahad
Chapter 6 Ensemble Learning Models-Based Prediction of Personal Thermal
Assessment Aimed at Heatstroke Prevention
Motoki Sakai and Masaki Shuzo
Chapter 7 Predicting Heatstroke Risk and Preventing Health Complications:
An Innovative Approach Using Machine Learning and
Physiological Data
Md Imran Hosen, Abdullah Nazhat Abdullah, Tarkan Aydın, Md Atiqur Rahman Ahad,
and Md Baharul Islam
Chapter 8 Predictive Modeling for Heatstroke Risk Forecasting Integrating
Physiological Features Using Ensemble Classifier
Md Mamun Sheikh, Shahera Hossain, and Md Atiqur Rahman Ahad
Chapter 9 Clustering-based Feature Selection and Stacked Generalization
Method to Offset Imbalanced Data for Thermal Stress Assessment
Iqbal Hassan, Shahera Hossain, and Md Atiqur Rahman Ahad
Chapter 10 Enhancing Personalized Heatstroke Prevention: Forecasting
Thermal Comfort Sensations through Data-driven Models
Md Samiur Rahman, Ziaul Karim Asfi, Md Atik Shams, Md Ifaj Hossan Omi,
Md Akhtaruzzaman Adnan, Shahera Hossain
Chapter 11 Advancing Heatstroke Prevention: Integrating Physiological Data
for Enhanced Thermal Comfort Forecasting
Tahera Hossain, Tahia Tazin, Christina Garcia, Kazuki Honda, Sozo Inoue,
Guillaume Lopez
Chapter 12 Intrapatient Forecasting of Parkinson’s Wearing-off by Analyzing
Data from Wrist-worn Fitness Tracker and Smartphone
Nhat Tan Le, Duy Nguyen Khuong Cong, Duy Nhat Vo, and Tan Thi Pham
Chapter 13 Foreseeing wearing-off state in Parkinson’s disease patients, a
multimodal approach with the usage of machine learning and
wearables
Justyna Skibinska, Muhammad Zaigham Abbas Sha, Asma Channa, Muhammad Shehram Shah Syed, Zafi
Sherhan Syed, and Jiri Hosek
Chapter14 Wearable Technology-Enabled Prediction of Wearing-Off
Phenomenon in Parkinson's Disease: A Personalized Approach
Using LSTM-Based Time-Series Analysis
Md Ifaj Hossan Omi, Md Atik Shams, Md Samiur Rahman, Ziaul Karim Asfi,
Md Akhtaruzzaman Adnan, and Shahera Hossain
Chapter 15 Forecasting Parkinson’s Patient’s Wearing-off Periods by
Employing Stacked Super Learner
Iqbal Hassan, Shahera Hossain, and Md Atiqur Rahman Ahad
Chapter 16 Forecasting Wearing-Off in Parkinson’s Disease: An Ensemble
Learning Approach Using Wearable Data
Md Imran Hosen and Md Baharul Islam
Chapter 17 Forecasting the Wearing-off Phenomenon in Parkinson’s Disease:
Summarized Approaches and Insights
Haru Kaneko, John Noel Victorino, Christina Garcia, Defry Hamdhana,
Muhammad Fikry, Nazmun Nahid, Tahera Hossain, Tomohiro Shibata, Sozo
Inoue

Biography

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