Requirement analysis to design the knowledge-based system for long jump coaching

IF 1.3 Q3 MANAGEMENT

International Journal of Knowledge Management Studies Pub Date : 2019-03-28 DOI:10.1504/IJKMS.2019.10020236

T. Kamnardsiri, W. Janchai, P. Khuwuthyakorn, Permsak Suriyachan, Wacharee Rittiwat

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引用次数: 3

Abstract

This paper presents the requirement for coaching the long jump of sports schools in Thailand. Moreover, a knowledge-based system (KBS) was designed for improving the long jump of athletes. Telephone and face-to-face interview approaches were used for collecting data from sports schools. There were 11 interview questions to investigate the requirement. MAXQDA 12 was employed to generate code and analyse data from interviewees. The results demonstrated that one of the most significant problems of coaching was the lacking of the system for analysis and suggestion. The framework, furthermore, was designed by experts using the knowledge engineering technique to create IF-THEN rules and an algorithm of all phases of the long jump biomechanics. In conclusion, there were many issues of requirements, for instance, all of the coaches required some systems for analysis and suggestion to improve the long jump skills. For the future works, the decision making algorithms of the system should be developed by using computer vision techniques.

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基于需求分析的跳远训练知识系统设计

本文提出了对泰国体校跳远训练的要求。此外，为了提高跳远运动员的水平，还设计了知识基础系统(KBS)。采用电话和面对面访谈的方法对体校进行数据收集。有11个面试问题来调查需求。使用MAXQDA 12生成代码并分析受访者的数据。研究结果表明，教练组存在的一个重要问题是缺乏分析和建议系统。此外，该框架由专家使用知识工程技术设计，以创建跳远生物力学各阶段的IF-THEN规则和算法。综上所述，教练员对跳远技术的要求有很多，比如教练员都需要一些系统的分析和建议来提高跳远技术。在未来的工作中，系统的决策算法应该利用计算机视觉技术来开发。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Knowledge Management Studies Decision Sciences-Information Systems and Management

CiteScore

1.90

自引率

14.30%

发文量

期刊介绍： “Knowledge as a key resource will contribute to improved organisational performance if it is properly leveraged and harnessed." IJKMS is a refereed and authoritative source of information in the field of knowledge management and related aspects. Topics covered include: -Knowledge creation, acquisition, codification, classification, organisation -Knowledge sharing, transfer, application, protection, retention -KM design and development -KM management and implementation -Measurement of knowledge management performance and benefits -Techniques and methods for managing knowledge -Technological tools for knowledge management, e.g. -knowledge bases, collaborative tools -expert/intelligent systems, knowledge mining/extraction -content/document management -portals, search and retrieval -e-learning, virtual reality, business intelligence, etc. -Human, organisational, strategic, behavioural, socio-cultural aspects -Public policy, economics, education policy, intellectual capital, ethics -Other related aspects of KM

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