02578nam 2200457 450 991048345980332120210311145823.0981-15-8944-510.1007/978-981-15-8944-7(CKB)4100000011679110(DE-He213)978-981-15-8944-7(MiAaPQ)EBC6437730(PPN)252512472(EXLCZ)99410000001167911020210311d2021 uy 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierActivity and behavior computing /Atiqur Rahman Ahad [and three others], editors1st ed. 2021.Singapore :Springer,[2021]©20211 online resource (XVIII, 306 p. 121 illus., 102 illus. in color.) Smart innovation, systems, and technologies ;Volume 204981-15-8943-7 Activity and Behavior Computing: Algorithms and Methods -- Mapping Vicon Motion Tracking to 6-axis IMU Data for Wearable Activity Recognition -- Improvement of Human Action Recognition Using 3D Pose Estimation -- 3D Pose Estimation Using Multiple Asynchronous Cameras -- Accuracy Evaluation of Human Gait Estimation by a Sparse Set of Inertial Measurement Units -- Improving Smartphone based Transport Mode Recognition using Generative Adversarial Networks -- New Class Candidate Generation applied to On-Body Smartphone Localization.Focusing on the vision-based and sensor-based recognition and analysis of human activity and behavior, this book gathers extended versions of selected papers presented at the International Conference on Activity and Behavior Computing (ABC 2020), held in Kitakyushu, Japan on August 26 – 29, 2020. The respective chapters cover action recognition, action understanding, gait analysis, gesture recognition, behavior analysis, emotion and affective computing, and related areas. The book addresses various challenges and aspects of human activity recognition in both the sensor-based and vision-based domains, making it a unique guide to the field. .Smart innovation, systems, and technologies ;Volume 204.Human activity recognitionCongressesHuman activity recognition006.3Ahad Atiqur RahmanMiAaPQMiAaPQMiAaPQBOOK9910483459803321Activity and behavior computing2854303UNINA