PrefaceMovement and Sensors1. Testing the Applicability of Virtual Stochastic Sensors in Human Activity RecognitionClaudia Krull, Pascal Krenckel, and Lauro Fialho Müller2. Static Sign Language Recognition Using Segmented Images and HOG on Cluttered BackgroundsArezoo Sadeghzadeh, Md. Baharul Islam, and Md. Atiqur Rahman Ahad3. (k,n)-Threshold Encoding Scheme for RFID-Based Real-Time Event Extraction and Its Application to ADL RecognitionMasayuki Numao and Ryota Fukumoto4. A CSI-Based Human Activity Recognition Using Canny Edge DetectorHossein Shahverdi, Parisa Fard Moshiri, Mohammad Nabati, Reza Asvadi, and Seyed Ali Ghorashi5. Function Estimation of Multiple IoT Devices by Communication Traffic AnalysisYuichi Hattori, Yutaka Arakawa, and Sozo Inoue6. A Method for Estimating the Number of Steps Taken Using a BLE Beacon Attached to the Soles of FootwearYuki Ogane, Yu Enokibori, and Katsuhiko Kaji7. A Method for Estimating Upper-Arm Muscle Activities and sEMG with PPG SensorMasahiro Okamoto and Kazuya Murao8. Development of Automatic Posture and Stumbling Judgement System Using Deep Learning, Jetson Nano and Drone with Information-Sharing FunctionShinji Kawakura, Masayuki Hirafuji, and Ryosuke Shibasaki9. Gait Condition Assessment Methods for Visualizing Interventional Expertise by Means of Posture DetectionAkinori Kunishima, Koki Suzuki, Atsushi Omata, Shogo Ishikawa, and Shinya Kiriyama10. Psychological Analysis in Human-Robot Collaboration from Workplace Stress Factors: A ReviewNazmun Nahid, Min Xinyi, Md. Atiqur Rahman Ahad, and Sozo InoueSports Activity Analysis11. Real-Time Feedback System for Efficient Core TrainingKeisuke Sato, Ami Jinno, Nishiki Motokawa, Tahera Hossain, Anna Yokokubo, and Guillaume Lopez12. Keeping Athletes Motivated by Realtime Co-running ApplicationShun Ishii, Kazuki Imura, Tahera Hossain, Anna Yokokubo, and Guillaume Lopez13. Boxing Movements Recognition Using IMUs During Shadow Boxing ExerciseYoshinori Hanada, Tahera Hossain, Anna Yokokubo, and Guillaume Lopez14. FootbSense: Soccer Moves in Practice Environment Identification Using a Single IMUHikari Aoyagi, Tahera Hossain, Anna Yokokubo, and Guillaume Lopez