Human Activity and Behavior Analysis (eBook, ePUB)

Advances in Computer Vision and Sensors: Volume 2
Redaktion: Ahad, Md Atiqur Rahman; Hossain, Tahera; Lopez, Guillaume; Inoue, Sozo

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 284
• Erscheinungstermin: 29. April 2024
• Englisch
• ISBN-13: 9781003815839
• Artikelnr.: 70135248

Autorenporträt

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.

Inhaltsangabe

Preface Movement and Sensors1. Testing the Applicability of Virtual Stochastic Sensors in Human Activity Recognition Claudia Krull
Pascal Krenckel
and Lauro Fialho Mü 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.