Leveraging Knowledge Management Techniques for Developing Multimedia Exercise Guides for Elderly Fall Prevention

Q3 Social Sciences Journal of Mobile Multimedia Pub Date : 2024-03-29 DOI:10.13052/jmm1550-4646.2028
S. Wongsila, S. Chernbumroong, Kritsana Boonprasit, P. Sureephong
{"title":"Leveraging Knowledge Management Techniques for Developing Multimedia Exercise Guides for Elderly Fall Prevention","authors":"S. Wongsila, S. Chernbumroong, Kritsana Boonprasit, P. Sureephong","doi":"10.13052/jmm1550-4646.2028","DOIUrl":null,"url":null,"abstract":"In this research study, the primary objective was to develop a comprehensive exercise program specifically designed for elderly individuals. The focus was on evaluating various exercise postures and validating their impact on muscle groups. By integrating knowledge management systems with knowledge engineering methodologies, the aim was to optimize the design of exercise postures and promote optimal health outcomes for the elderly.\nDivided into three distinct experiments, the study employed a systematic approach to acquire, represent, and validate knowledge related to exercise postures for the elderly population. The use of knowledge management systems and engineering methodologies facilitated the design of effective exercise postures tailored to meet the unique needs and capabilities of elderly individuals. Experiment I focused on knowledge acquisition through structured interviews with physical therapists. The acquired knowledge was used to screen and prioritize exercise postures suitable for elderly individuals. Expert recommendations and analysis were employed to select a set of exercise postures. Using a matrix combination approach, 189 possible exercise postures were generated by combining aerobic and dance postures. Through a screening process, 52 postures were selected as suitable for elderly individuals. Experiment II utilized kinesthetic representation techniques to visually represent the 52 selected exercise postures for the elderly. Additionally, frame representation was employed to capture muscle specifications associated with each posture. The representation design was validated by physical exercise experts. In the first step of Experiment III, a total of 52 exercise postures were implemented and evaluated with elderly participants. The implementation and validation process aimed to identify the best and most appropriate postures for the elderly, considering factors such as satisfaction levels, difficulty levels, and safety considerations. Through this rigorous evaluation, the initial selection of 52 postures was narrowed down to a final set of 21 suitable postures. The validation results provided valuable insights into the effectiveness of the exercise postures and their impact on the elderly participants. It ensured that the chosen postures were not only effective in promoting optimal health outcomes but also minimized the risk of injury. The iterative assessment and refinement process contributed to the development of an evidence-based exercise program specifically tailored to the unique needs and capabilities of elderly individuals. For the second step of Experiment III, the effects of the selected exercise postures on different muscle groups were validated. Three physical exercise experts evaluated the impact on upper limb, trunk, and lower limb muscles. Specific muscle groups, such as brachioradialis, deltoid, quadriceps, and hamstring, were found to be strongly focused on during the exercises, while trunk muscles were rated as poor overall. The evaluation involved implementing and evaluating a total of 52 exercise postures with elderly participants. The selection of the final 21 postures was based on the evaluation results and provided insights into satisfaction levels, difficulty levels, and safety considerations for each exercise posture. The validation outcomes showed a high level of agreement among the experts, ranging from 79% to 91%.\nFor conclusion, this research aimed to enhance exercise programs for the elderly by developing more effective methodologies for designing exercise postures. By considering the specific requirements of the elderly population and utilizing knowledge management systems, the study successfully created exercise postures that maximize health benefits and overall well-being. Through the implementation of knowledge engineering methodologies and the utilization of knowledge management systems, the research optimized the design of exercise postures for elderly individuals. The division of the study into three experiments enabled a comprehensive analysis of the acquired knowledge, leading to the development of exercise postures specifically tailored to the needs of the elderly population.","PeriodicalId":38898,"journal":{"name":"Journal of Mobile Multimedia","volume":"76 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Mobile Multimedia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.13052/jmm1550-4646.2028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0

Abstract

In this research study, the primary objective was to develop a comprehensive exercise program specifically designed for elderly individuals. The focus was on evaluating various exercise postures and validating their impact on muscle groups. By integrating knowledge management systems with knowledge engineering methodologies, the aim was to optimize the design of exercise postures and promote optimal health outcomes for the elderly. Divided into three distinct experiments, the study employed a systematic approach to acquire, represent, and validate knowledge related to exercise postures for the elderly population. The use of knowledge management systems and engineering methodologies facilitated the design of effective exercise postures tailored to meet the unique needs and capabilities of elderly individuals. Experiment I focused on knowledge acquisition through structured interviews with physical therapists. The acquired knowledge was used to screen and prioritize exercise postures suitable for elderly individuals. Expert recommendations and analysis were employed to select a set of exercise postures. Using a matrix combination approach, 189 possible exercise postures were generated by combining aerobic and dance postures. Through a screening process, 52 postures were selected as suitable for elderly individuals. Experiment II utilized kinesthetic representation techniques to visually represent the 52 selected exercise postures for the elderly. Additionally, frame representation was employed to capture muscle specifications associated with each posture. The representation design was validated by physical exercise experts. In the first step of Experiment III, a total of 52 exercise postures were implemented and evaluated with elderly participants. The implementation and validation process aimed to identify the best and most appropriate postures for the elderly, considering factors such as satisfaction levels, difficulty levels, and safety considerations. Through this rigorous evaluation, the initial selection of 52 postures was narrowed down to a final set of 21 suitable postures. The validation results provided valuable insights into the effectiveness of the exercise postures and their impact on the elderly participants. It ensured that the chosen postures were not only effective in promoting optimal health outcomes but also minimized the risk of injury. The iterative assessment and refinement process contributed to the development of an evidence-based exercise program specifically tailored to the unique needs and capabilities of elderly individuals. For the second step of Experiment III, the effects of the selected exercise postures on different muscle groups were validated. Three physical exercise experts evaluated the impact on upper limb, trunk, and lower limb muscles. Specific muscle groups, such as brachioradialis, deltoid, quadriceps, and hamstring, were found to be strongly focused on during the exercises, while trunk muscles were rated as poor overall. The evaluation involved implementing and evaluating a total of 52 exercise postures with elderly participants. The selection of the final 21 postures was based on the evaluation results and provided insights into satisfaction levels, difficulty levels, and safety considerations for each exercise posture. The validation outcomes showed a high level of agreement among the experts, ranging from 79% to 91%. For conclusion, this research aimed to enhance exercise programs for the elderly by developing more effective methodologies for designing exercise postures. By considering the specific requirements of the elderly population and utilizing knowledge management systems, the study successfully created exercise postures that maximize health benefits and overall well-being. Through the implementation of knowledge engineering methodologies and the utilization of knowledge management systems, the research optimized the design of exercise postures for elderly individuals. The division of the study into three experiments enabled a comprehensive analysis of the acquired knowledge, leading to the development of exercise postures specifically tailored to the needs of the elderly population.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用知识管理技术开发预防老年人跌倒的多媒体运动指南
在这项研究中,首要目标是制定一项专为老年人设计的综合锻炼计划。重点是评估各种运动姿势,并验证其对肌肉群的影响。通过将知识管理系统与知识工程方法相结合,目的是优化运动姿势的设计,促进老年人获得最佳的健康结果。这项研究分为三个不同的实验,采用了系统的方法来获取、呈现和验证与老年人运动姿势相关的知识。知识管理系统和工程方法的使用促进了有效运动姿势的设计,以满足老年人的独特需求和能力。实验 I 的重点是通过对物理治疗师进行结构化访谈来获取知识。所获得的知识被用于筛选适合老年人的运动姿势并确定其优先次序。专家建议和分析被用来选择一组运动姿势。通过矩阵组合方法,结合有氧运动和舞蹈姿势,产生了 189 种可能的运动姿势。通过筛选,选出了 52 个适合老年人的运动姿势。实验二利用动觉表征技术,直观地表现出 52 种选定的老年人运动姿势。此外,还采用了框架表示法来捕捉与每个姿势相关的肌肉规格。表征设计通过了体育锻炼专家的验证。在实验 III 的第一步,共实施了 52 个运动姿势,并对老年参与者进行了评估。实施和验证过程旨在确定最适合老年人的最佳姿势,同时考虑到满意度、难度和安全性等因素。通过这种严格的评估,最初选定的 52 个姿势被缩小到 21 个合适的姿势。验证结果为了解运动姿势的有效性及其对老年参与者的影响提供了宝贵的见解。它确保了所选姿势不仅能有效促进最佳健康结果,还能最大限度地降低受伤风险。反复评估和改进的过程有助于开发出一套以证据为基础、专门针对老年人独特需求和能力的锻炼计划。实验 III 的第二步是验证所选运动姿势对不同肌肉群的影响。三位体育锻炼专家评估了对上肢、躯干和下肢肌肉的影响。结果发现,肱骨肌、三角肌、股四头肌和腿筋等特定肌肉群在练习过程中受到了强烈关注,而躯干肌肉的整体评价较差。评估包括对老年参与者实施和评估总共 52 个锻炼姿势。根据评估结果选择了最终的 21 个姿势,并深入了解了每个锻炼姿势的满意度、难度和安全考虑因素。验证结果表明,专家们的意见高度一致,从 79% 到 91%不等。总之,这项研究旨在通过开发更有效的运动姿势设计方法来加强老年人运动项目。通过考虑老年人群的特殊要求并利用知识管理系统,该研究成功地设计出了能最大限度地提高健康效益和整体健康水平的运动姿势。通过实施知识工程方法和利用知识管理系统,该研究优化了老年人运动姿势的设计。通过将研究分为三个实验,可以对所获得的知识进行全面分析,从而开发出专门针对老年人群需求的运动姿势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Mobile Multimedia
Journal of Mobile Multimedia Social Sciences-Communication
CiteScore
1.90
自引率
0.00%
发文量
80
期刊介绍: The scope of the journal will be to address innovation and entrepreneurship aspects in the ICT sector. Edge technologies and advances in ICT that can result in disruptive concepts of major impact will be the major focus of the journal issues. Furthermore, novel processes for continuous innovation that can maintain a disruptive concept at the top level in the highly competitive ICT environment will be published. New practices for lean startup innovation, pivoting methods, evaluation and assessment of concepts will be published. The aim of the journal is to focus on the scientific part of the ICT innovation and highlight the research excellence that can differentiate a startup initiative from the competition.
期刊最新文献
Just-in-Accuracy: Mobile Approach to Uncertainty Neural Technologies for Objects Classification with Mobile Applications Mobile Recognition of Image Components Based on Machine Learning Methods Some Aspects of Artificial Intelligence Development Strategy for Mobile Technologies From Fuzzy to Mobile Fuzzy
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1