It will cover action recognition, action understanding, gait analysis, gesture recognition, behavior analysis, emotion and affective computing, healthcare, dementia, nursing, Parkinson’s disease, and related areas.

PrefaceAbout the EditorsPart 1 Activity and BehaviorChapter 1 PressureTransferNet: Human Attribute Guided Dynamic Ground Pressure Profile Transfer using 3D simulated Pressure Maps by Lala Shakti Swarup Ray, Vitor Fortes Rey, Bo Zhou, Sungho Suh, Paul LukowiczChapter 2 SIMUAug: Variability-aware Data Augmentation for Wearable IMU using Physics Simulation by Nobuyuki Oishi, Daniel Roggen, Phil Birch, and Paula LagoChapter 3 Estimation of Muscle Activation during Complex Movement using Unsupervised Motion Primitives Decomposition of Limb Kinematics by Mainul Islam Labib, Md. Johir Raihan, and Abdullah-Al NahidChapter 4 Pitcher Identification Method using an Accelerometer and Gyroscope embedded In a Baseball by Goro Mizuno, Kazuya Murao, Akinori Nagano, Shohei Shibata, and Yuki YamadaChapter 5 Design and Implementation of a Long-casting Support System for Lure Fishing using an Accelerometer by Takashi Ogawa and Kazuya MuraoChapter 6 Contrastive Left-Right Wearable Sensors (IMUs) Consistency Matching for HAR by Dominique Nshimyimana, Vitor Fortes Rey, and Paul LukowiczChapter 7 Estimation Method of Doneness for Boiled Eggs and Diced Steaks using Active Acoustic Sensing by Daiki Takahashi and Kazuya MuraoPart 2 HealthcareChapter 8 Older Adults Daily Mobility and Its Connection to DEMMI by Björn Friedrich, Lena Elgert, Daniel EckhoQ, Jürgen Martin Bauer, and Andreas HeinChapter 9 Subjective Stress and Heart Rate Variability Patterns: A Study on Harassment Detection by Takahiro Ueno and Masayoshi OhashiChapter 10 Analysis of Physiological Variances in Thermal Comfort among Individuals by Kazuki Honda, Tahera Hossain, Yusuke Kawasaki, and Guillaume LopezChapter 11 Personal Thermal Assessment using Feature Reduction and Machine Learning Techniques by Afsana Mimi, Md. Golam Rasul, Tanjila Alam Sathi, and Lutfun Nahar LotaChapter 12 Analysis of Personal Thermal State using Machine Learning Algorithms to Prevent Heatstroke by Afroza Rahman, Md Ibrahim Mamun, Shahera Hossain, and Md Atiqur Rahman AhadChapter 13 Ensemble Learning Models-Based Prediction of Personal Thermal Assessment Aimed at Heatstroke Prevention by Motoki SAKAI and Masaki ShuzoChapter 14 Predicting Heatstroke Risk and Preventing Health Complications: An Innovative Approach Using Machine Learning and Physiological Data by Md Imran Hosen, Abdullah Abdullah, Tarkan Aydın, Md Atiqur Rahman Ahad, and Md Baharul IslamChapter 15 Predictive Modeling for Heatstroke Risk Forecasting Integrating Physiological Features Using Ensemble Classifier by Md Mamun Sheikh, Shahera Hossain, and Md Atiqur Rahman AhadChapter 16 Clustering-based Feature Selection and Stacked Generalization Method to O`set Imbalanced Data for Thermal StressAssessment by Iqbal Hassan, Shahera Hossain, and Md Atiqur Rahman AhadChapter 17 Enhancing Personalized Heatstroke Prevention: Forecasting Thermal Comfort Sensations through Data-driven Models by Md Samiur Rahman, Ziaul Karim Asfi, Md Atik Shams, Md Ifaj Hossan Omi, Md Akhtaruzzaman Adnan, Shahera HossainChapter 18 Advancing Heatstroke Prevention: Integrating Physiological Data for Enhanced Thermal Comfort Forecasting by Tahera Hossain, Tahia Tazin, Christina Garcia, Kazuki Honda, Sozo Inoue, Guillaume LopezChapter 19 Intrapatient Forecasting of Parkinson’s Wearing-o` by Analyzing Data from Wrist-worn Fitness Tracker and Smartphone by Nhat Tan Le, Khuong Cong Duy Nguyen, Nhat Duy Vo, and Tan Thi PhamChapter 20 Foreseeing wearing-o` state in Parkinson’s disease patients, a multimodal approach with the usage of machine learning and wearables by Justyna Skibińska, Muhammad Zaigham Abbas Shah, Asma Channa, Muhammad Shehram Shah Syed, Zafi Sherhan Syed, and Jiri HosekChapter 21 Wearable Technology-Enabled Prediction of Wearing-O`Phenomenon in Parkinson's Disease: A Personalized Approach Using LSTM-Based Time-Series Analysis by Md Ifaj Hossan Omi, Md Atik Shams, Md Samiur Rahman, Ziaul Karim Asfi, Akhtaruzzaman Adnan, and Shahera HossainChapter 22 Forecasting Parkinson’s Patient’s Wearing-o` Periods by Employing Stacked Super Learner by Iqbal Hassan, Shahera Hossain, and Md Atiqur Rahman AhadChapter 23 Forecasting Wearing-O` in Parkinson’s Disease: An Ensemble Learning Approach Using Wearable Data by Md Imran Hosen and Md Baharul IslamChapter 24 Forecasting the Wearing-o` Phenomenon in Parkinson’s Disease:Summarized Approaches and Insights by Haru Kaneko, John Noel Victorino, Christina Garcia, Defry Hamdhana, Muhammad Fikry, Nazmun Nahid, Tahera Hossain, Tomohiro Shibata, Sozo Inoue