Design of a Golf Swing Injury Detection and Evaluation Open Service Platform with Ontology-Oriented Clustering Case-Based Reasoning Mechanism

瀏覽統計 Email 通知 RSS Feed

簡歷

基本資料

Project title

Code/計畫編號

MOST104-2221-E146-002

Translated Name/計畫中文名

規劃與設計一以本體論導向之群落案例式推理機制應用於高爾夫揮桿傷害預防與姿勢調適服務平台

Project Coordinator/計畫主持人

Hao-Hsiang Ku

Funding Organization/主管機關

National Science and Technology Council

Co-Investigator(s)/共同執行人

歐俠宏

Department/Unit

Department of Computer Science and Information Engineering, Hwa Hsia University of Technology

Website

https://www.grb.gov.tw/search/planDetail?id=11575919

Year

2015

Start date/計畫起

01-08-2015

Expected Completion/計畫迄

31-07-2015

Bugetid/研究經費

485千元

ResearchField/研究領域

資訊科學--軟體

自微軟提出三螢一雲數位化生活架構願景後，人們只要使用智慧手機即可快速享受便利的資訊生活環境，如今不論是硬體製程或軟體整合隨著科技進步越來越精緻且高效能，眾多的生活應用情境由此而生。本計畫將規劃與設計一以本體論導向之群落案例式推理機制應用於高爾夫揮桿傷害預防與姿勢調適服務平台(Golf Swing Injury Detection and Evaluation Open Service Platform, GoSIDE)，利用 Arduino 與Open Service Gateway initiative(OSGi)開放式服務平台建構起雲端服務機制。GoSIDE為三層式架構，包括具體感與環境互動感知之行動式使用者端、具智慧型高爾夫球揮桿姿勢分析模型之應用伺服器以及具經驗品質感知之雲端匯流伺服器。使用者端將整合Kinect體感感測器及穿戴式三軸加速規感應設備蒐集高爾夫運動員於揮桿過程中的揮桿動作，再將資料送至應用伺服器中運用智慧型高爾夫球揮桿姿勢分析模型(Intelligent Golf Swing Posture Analysis Model, iGoSPAM)進行分析揮桿數據，檢測出可能發生運動傷害之姿勢動作，並發出警示通知運動員，以達成預防運動傷害的目的。此外，雲端匯流伺服器其推論核心為本體論導向之群落案例式推理機制(Ontology-oriented Clustering Case-based Reasoning for Quality of Experiences, OCC4QoE)，為整合本體論(Ontology)、背包定理(Knapsack Algorithm)與群落案例式推理技術(Clustering Case-based Reasoning)建構與提供快速經驗品質服務 (Quality of Experience, QoE)匯流環境。使用者僅需透過配戴在身上的手機，並利用本體論技術可輕易建構起專屬之經驗品質(QoE)推論法則(Rules)與事件(Events)，獲取所需資訊與服務。此外，對於新加入的使用者，雲端伺服器會先將大眾法則(Papular Rules)傳遞給使用者端，並給予相對的服務，再透過具調適性之經驗品質(Adaptive Quality of Experience)模式，用以滿足不同使用者之情境、特性與需求。最後依OCC4QoE推論機制結果匯入iGoSPAM進行建模，如此可讓運動員有符合自己的特殊運動模式。有鑑於此，本計畫之目標將規劃與設計 (1) 具體感與環境互動感知之行動式使用者端，(2) 具智慧型高爾夫球揮桿姿勢分析模型之應用伺服器以及(3) 具經驗品質感知之雲端匯流伺服器。 With the rapid progress of information techniques and the popularity of mobile devices, people should have a relatively convenient environment and life. Users can easily use a information device to get wanted realtime information and services. Hence, this project designs and proposes a Golf Swing Injury Detection and Evaluation Open Service Platform with Ontology-oritened Clustering Case-based Reasoning Mechism, which 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 users’ Golf swing actions and to alter the user when users with error actions. Cloud-based Digital Covergence Server is with Ontology-oriented Clustering Case-based Reasoning (CBR) for Quality of Experiences (OCC4QoE), which is composed of Ontology, Case-based Reasoning, and Knapsack Algorithm. OCC4QoE is designed to provide QoE services by QoE-based Ontology strategies, rules and events for this user. Futhemore, when a new user uses GoSIDE, GoSIDE will trigger OCC4QoE and deliver popular rules to this user. Finally, the proposed GoSIDE can be a reference model for researchers and engineers.

Keyword(s)

開放式服務平台
本體論
經驗品質
案例式推理
高爾夫揮桿
Open Service Platform
Ontology
Quality of Experience
Case-based Reasonong
Golf Swing

DSpace CRIS

Design of a Golf Swing Injury Detection and Evaluation Open Service Platform with Ontology-Oriented Clustering Case-Based Reasoning Mechanism

基本資料

Description