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.
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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
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.
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