Design of a Golf Swing Injury Detection and Evaluation open service platform with Ontology-oriented clustering case-based reasoning mechanism

Issue title: Recent Innovations on Biomedical Engineering

Guest editors: Wen-Hsiang Hsieh

Article type: Research Article

Authors: Ku, Hao-Hsiang

Affiliations: Department of Computer Science and Information Engineering, Hwa-Hsia University of Technology, New Taipei City 235, Taiwan. E-mail: kuhh@cc.hwh.edu.tw

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.

Keywords: Open service platform, ontology, case-based reasoning, quality of experience, Golf swing

DOI: 10.3233/THC-151083

Journal: Technology and Health Care, vol. 24, no. s1, pp. S261-S270, 2016