title: Design of a Golf Swing Injury Detection and Evaluation open service platform with Ontology-oriented clustering case-based reasoning mechanism.
abstract: Nowadays, people can easily use a smartphone to get wanted information and requested services. Hence, this study designs and proposes a Golf Swing Injury Detection and Evaluation open service platform with Ontology-oritened clustering case-based reasoning mechanism, which is called GoSIDE, based on Arduino and Open Service Gateway initative (OSGi). GoSIDE is a three-tier architecture, which is composed of Mobile Users, Application Servers and a Cloud-based Digital Convergence Server. A mobile user is with a smartphone and Kinect sensors to detect the user's Golf swing actions and to interact with iDTV. An application server is with Intelligent Golf Swing Posture Analysis Model (iGoSPAM) to check a user's Golf swing actions and to alter this user when he is with error actions. Cloud-based Digital Convergence Server is with Ontology-oriented Clustering Case-based Reasoning (CBR) for Quality of Experiences (OCC4QoE), which is designed to provide QoE services by QoE-based Ontology strategies, rules and events for this user. Furthermore, GoSIDE will automatically trigger OCC4QoE and deliver popular rules for a new user. Experiment results illustrate that GoSIDE can provide appropriate detections for Golfers. Finally, GoSIDE can be a reference model for researchers and engineers.
authors.forename: Hao-Hsiang
authors.initials: HH
authors.lastname: Ku
mesh_terms: D001265:Athletic Injuries / Q000517:prevention & control*; D001696:Biomechanical Phenomena; D000067917:Cloud Computing; D006055:Golf; D006801:Humans; D007091:Image Processing, Computer-Assisted; D009068:Movement / Q000502:physiology*; D004856:Postural Balance; D011187:Posture; D058998:Remote Sensing Technology / Q000379:methods; D000068997:Smartphone; D014584:User-Computer Interface
keywords: Golf swing; Open service platform; case-based reasoning; ontology; quality of experience