Human Activity and Behavior Analysis Advances in Computer Vision and Sensors: Volume 1 and Volume 2

Volume 1

Preface

Healthcare and Emotion

1.     Forecasting Parkinson's Disease Patients' Wearing-Off using Wrist-Worn Fitness Tracker and Smartphone Dataset

John Noel Victorino, Yuko Shibata, Inoue Sozo, and Tomohiro Shibata

2.     Toward Human Thermal Comfort Sensing: New Dataset and Analysis of Heart Rate Variability (HRV) Under Different Activities

Tahera Hossain, Yusuke Kawasaki, Kazuki Honda, Kizito Nkurikiyeyezu, and Guillaume Lopez

3.     Reducing the Number of Wearable Sensors and Placement Optimization by Missing Data Imputation on Nursery Teacher Activity Recognition

Akira Omi, Kensi Fujiwara, Naoko Ishibashi, and Ren Ohmura

4.     Optimal EEG Electrode Set for Emotion Recognition from Brain Signals: An Empirical Quest

Rumman Ahmed Prodhan, Sumya Akter, Tanmoy Sarkar Pias, and Md. Akhtaruzzaman Adnan

5.     Translation-Delay-Aware Emotional Avatar System for Online Communication Support

Tomoya Suzuki, Akihito Taya, Yoshito Tobe, and Guillaume Lopez

6.     Touching with eye contact and vocal greetings increases the sense of security

Miyuki Iwamoto and Atsushi Nakazawa

7.     Challenges and Opportunities of Activity Recognition in Clinical Pathways

Christina Garcia and Sozo Inoue

Mental Health

8.     Anxolotl, an Anxiety Companion App - Stress Detection

Nuno Gomes, Matilde Pato, Pedro Santos, Andre´ Lourenc¸ and Lourenc Rodrigues 

9.     Detection of self-reported stress level from wearable sensor data using machine learning and deep learning-based classifiers: Is it feasible?

Atzeni Michele, Cossu Luca, Cappon Giacomo, and Vettoretti Martina

10.   A Multi-Sensor Fusion Method for Stress Recognition

Leonardo Alchieri, Nouran Abdalazim, Lidia Alecci, Silvia Santini, and Shkurta Gashi 

11.   Classification of Stress via Ambulatory ECG and GSR Data

Zachary Dair, Muhammad Saad, Urja Pawar, Samantha Dockray, and Ruairi O’Reilly 

12.  Detection and Classification of Acute Psychological Stress in Free-Living: Challenges and Achievements

M. Sevil, M. Rashid, R. Askari, L. Sharp, L. Quinn, and A. Cinar 

13.  IEEE EMBC 2022 Workshop and Challenge on Detection of Stress and Mental Health Using Wearable Sensors

Huiyuan Yang, Han Yu, Alicia Choto Segovia, Maryam Khalid, Thomas Vaessen, and Akane Sano

14.  Understanding Mental Health Using Ubiquitous Sensors and Machine Learning: Challenges Ahead

Tahia Tazin, Tahera Hossain, Shahera Hossain, and Sozo Inoue

Nurse Care Records

15.   Improving Complex Nurse Care Activity Recognition Using Barometric Pressure Sensors

Muhammad Fikry, Christina Garcia, Vu Nguyen Phuong Quynh, Shin- taro Oyama, Keiko Yamashita, Yuji Sakamoto, Yoshinori Ideno, and Sozo Inoue

16.   Analysis of Care Records for Predicting Urination Times

Masato Uchimura, Haru Kaneko, and Sozo Inoue

17.   Predicting User-specific Future Activities using LSTM-based Multi-label Classification

Mohammad Sabik Irbaz, Fardin Ahsan Sakib, and Lutfun Nahar Lota

18.   Nurse Activity Recognition based on Temporal Frequency Features

Md. Sohanur Rahman, Hasib Ryan Rahman, Abrar Zarif, Yeasin Arafat Pritom, and Md Atiqur Rahman Ahad

19.   Ensemble Classifier for Nurse Care Activity Prediction Based on Care Records

Bj¨orn Friedrich andAndreas Hein

20.  Addressing the inconsistent and missing time stamps in Nurse Care Activity Recognition Care Record Dataset

Rashid Kamal, Chris Nugent, Ian Cleland, and Paul McCullagh

21.   A Sequential-based Analytical Approach for Nurse Care Activity Forecasting

Md Mamun Sheikh, Shahera Hossain, and Md Atiqur Rahman Ahad

22.   Predicting Nursing Care with K-Nearest Neighbors and Random Forest Algorithms

Jonathan Sturdivant, John Hendricks, and Gulustan Dogan

23. Future Prediction for Nurse Care Activities Using Deep Learning based Multi-Label Classification

Md. Golam Rasul, Wasim Akram, Sayeda Fatema Tuj Zohura, Tanjila Alam Sathi, and Lutfun Nahar Lota

 24. A Classification Technique based on Exploratory Data Analysis for Activity Recognition

Riku Shinohara, Huakun Liu, Monica Perusqu´Ia-Hern´Andez, Naoya Isoyama, Hideaki Uchiyama, and Kiyoshi Kiyokawa

25. Time Series Analysis of Care Records Data for Nurse Activity Recognition in the Wild

Md. Kabiruzzaman, Mohammad Shidujaman, Shadril Hassan Shifat, Pritom Debnath, and Shahera Hossain

26. Summary of the Fourth Nurse Care Activity Recognition Challenge – Predicting Future Activities

Defry Hamdhana, Christina Garcia, Nazmun Nahid, Haru Kaneko, Sayeda Shamma Alia, Tahera Hossain, and Sozo Inoue

Volume 2

Preface

 Movement and Sensors

1.     Testing the Applicability of Virtual Stochastic Sensors in Human Activity Recognition

Claudia Krull, Pascal Krenckel, and Lauro Fialho Mu¨ Ller

2.     Static Sign Language Recognition Using Segmented Images and HOG on Cluttered Backgrounds

Arezoo Sadeghzadeh, Md Baharul Islam, and Md Atiqur Rahman Ahad

3.     (k,n)-Threshold Encoding Scheme for RFID-based Real-Time Event Extraction and Its Application to ADL Recognition

Masayuki Numao and Ryota Fukumoto

4.     A CSI-based Human Activity Recognition using Canny Edge Detector

Hossein Shahverdi, Parisa Fard Moshiri, Mohammad Nabati, Reza Asvadi, and Seyed Ali Ghorashi

5.     Function Estimation of Multiple IoT Devices by Communication Traffic Analysis

Yuichi Hattori, Yutaka Arakawa, and Sozo Inoue

6.     A Method for Estimating the Number of Steps Taken Using a BLE Beacon Attached to the Soles of Footwear

Yuki Ogane, Yu Enokibori, and Katsuhiko Kaji

7.     A Method for Estimating Upper-Arm Muscle Activities and sEMG with PPG Sensor

Masahiro Okamoto and Kazuya Murao

8.     Development of Automatic Posture and Stumbling Judgement System using Deep Learning, Jetson Nano and Drone with Information-Sharing Function

Shinji Kawakura, Masayuki Hirafuji, and Ryosuke Shibasaki

9.     Gait condition assessment methods for visualizing interventional expertise by means of posture detection

Akinori Kunishima, Koki Suzuki, Atsushi Omata, Shogo Ishikawa, and Shinya Kiriyama

10.  Psychological Analysis in Human-Robot Collaboration from Workplace Stress Factors: A Review

Nazmun Nahid, Min Xinyi, Md Atiqur Rahman Ahad, and Sozo Inoue

Sports Activity Analysis

11.   Real-Time Feedback System for Efficient Core Training

Keisuke Sato, Ami Jinno, Nishiki Motokawa, Tahera Hossain, Anna

Yokokubo, and Guillaume Lopez

12.   Keeping athletes motivated by realtime co-running application

Shun Ishii, Kazuki Imura, Tahera Hossain, Anna Yokokubo, and Guillaume

Lopez

13.   Boxing movements recognition using IMUs during shadow boxing exercise

Yoshinori Hanada, Tahera Hossain, Anna Yokokubo, and Guillaume Lopez

14.   FootbSense: Soccer Moves in Practice Environment Identification Using a Single IMU

Hikari Aoyagi, Tahera Hossain, Anna Yokokubo, and Guillaume Lopez

Biography

Md Atiqur Rahman Ahad, PhD, is Associate Professor at the University of East London, UK.

Sozo Inoue, PhD, is Professor at the Kyushu Institute of Technology, Japan.

Guillaume Lopez, PhD, is Professor at Aoyama Gakuin University, Japan.

Tahera Hossain, PhD, is Assistant Professor (Project) at Aoyama Gakuin University, Japan.