1st Edition

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

    284 Pages 103 B/W Illustrations
    by CRC Press

    Human Activity and Behavior Analysis relates to the field of vision and sensor-based human action or activity and behavior analysis and recognition. The book includes a series of methodologies, surveys, relevant datasets, challenging applications, ideas, and future prospects.

    The book discusses topics such as action recognition, action understanding, gait analysis, gesture recognition, behavior analysis, emotion and affective computing, and related areas. This volume focuses on two main subject areas: Movement and Sensors, and Sports Activity Analysis.

    The editors are experts in these arenas, and the contributing authors are drawn from high-impact research groups around the world. This book will be of great interest to academics, students, and professionals working and researching in the field of human activity and behavior analysis.


     Movement and Sensors

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

    Claudia Krull, Pascal Krenckel, and Lauro Fialho Müller

    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




    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.