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題名 I-Jogging：基於震動回饋穩定步頻以增進跑步效率的穿戴式系統
I-Jogging：Improve stride frequency to elevate jogging performance based on vibration feedback作者 林緯政
Lin, Wei-Cheng貢獻者 廖峻鋒<br>陳聖智
林緯政
Lin, Wei-Cheng關鍵詞 穿戴式裝置
人機互動
運動
跑步
步頻
震動
Wearable devices
Human-computer interaction
Sports
Jogging日期 2021 上傳時間 1-Jul-2021 21:02:59 (UTC+8) 摘要 健康，對於現代人是一個相當重要的課題，而維持健康不外乎就是良好的飲食、充足的睡眠以及規律的運動。而要維持最規律運動最沒有成本以及最沒有門檻的就是跑步了。其中，穩定步頻為跑步中極為重要的元素。因此，本研究基於震動回饋穩定步頻以增進跑步效率，設計出 I-Jogging，由智能互動襪及手機應用程式所組成的穿戴式系統。本研究欲達成的目標為：讓使用者能在獨自一人的情況下，有穩定的頻率作為步頻跟隨的標準；使用裝置時減少對裝置的注意力，增加跑步時的安全性；使用裝置時不會因為額外過多的重量而影響跑步效率；可以自行調整震動頻率以符合自身跑步需求。上述目標旨於設計出一種新型態、增加使用裝置時安全性且用於跑步之穿戴式裝置。未來亦可望將此一方法擴大運用於其他運動中。本研究採觀察法及訪談法，實作 I-Jogging 穿戴式系統中的智能互動襪及手機應用程式作為原型工具。在經過三次系統迭代後，徵集五位受試者進行測試。實驗後發現，震動作為受試者跟隨步頻之依據是有效果的，能讓受試者輕易的穩定步頻。除此之外，手機應用程式步頻紊亂提示能清楚告訴使用者需要修正步頻，可以在跑步途中任意調整頻率，使得使用者也可以依據自身需求自行調整，震動回饋之於提升跑步效率是明顯有成效的。
Health and fitness are important to modern people. Main approaches for health and fitness include a good diet, adequate sleep, and regular exercise. Among these practices, jogging is one of the most popular approaches as it is with low cost and low barrier. For jogging, stabilizing stride frequency is the key to the effectiveness of the exercise. In this thesis, the author aims to investigate the design of a wearable system that helps the runner to maintain stable stride frequency based on vibration feedback devices. The prototype of the proposed design is called I-Jogging, which is a system with smart interactive socks and an App for mobile phones. The goal of this system is to assist the user to have a stable frequency without paying too much attention to the system. The smart interactive sock is made using conductive thread so that it is lightweight and does not affect running efficiency. Moreover, users can adjust the vibration frequency by themselves to meet their running needs.The prototype went through three system iterations. To evaluate the prototype, this research follows the observation and the interview methods simultaneously. The results indicate that vibration feedback is effective for users to follow the stride frequency, allowing users to easily stabilize the stride frequency. In addition, the mobile phone application stride frequency disorder prompt can tell the user that the stride frequency needs to be modified, and the frequency can be adjusted dynamically when jogging. In this way, the user can also adjust stride frequency according to their own needs.參考文獻 Bateman, K. (2020). Counting 180 steps. Retrieved from https://olderyetfaster.com/running-myths-explained/counting-180-steps/Cheng, L., Roskilly, K., Kuntze, G., Tan, H., Lowe, J., Hailes, S., Kerwin, D. G., & Wilson, A. (2010). Stride information monitoring and sensing in sports. IEEE MASS 2010, 205-213.Cleghorn, J. (2017). Pros and Cons of Running While Listening to Music. Retrieved from https://medium.com/@jwcleghorn/pros-and-cons-of-running-while-listening-to-music-4a3703885929Norman, D., A. 2005. Emotional Design: Why We Love (or Hate) Everyday Things. Basic Books. New York, NY.Damen, L. (2020). Running With Music – The Pros And Cons. Retrieved from https://www.realbuzz.com/articles-interests/running/article/running-with-music-the-pros-and-cons/Dobos, P. (2020). The 180 Steps Per Minute Running Myth. Retrieved from https://endurelite.com/blogs/free-nutrition-supplement-and-training-articles-for-runners-and-cyclists/the-180-steps-per-minute-running-mythGrater, M. (2020). Should You Listen to Music While Running?. Retrieved from https://www.runnersworld.com/gear/a20799208/should-you-listen-to-music-while-running/Hao, T., Xing, G., & Zhou, G., (2015). RunBuddy: A Smartphone System for Running Rhythm Monitoring. UbiComp’15, 133-144.Högberg, P. (1952). How do stride length and stride frequency influence the energy-output during running ?. Arbeitsphysiologie 14, 437-441.Hong, J., & Baker, M., (2014, April-June). Wearable Computing. IEEE Pervasive Computing, 7-9.Ludvigsen, M., Fogtmann, M. H., & Grønbæk, K. (2010). TacTowers: An Interactive Training Equipment for Elite Athletes. Designing Interactive Systems ,10, 412-415.Lee, A., (2013)。十大易用性原則。取自https://blog.akanelee.me/posts/160115-top-ten-usability-principles/Mueller, F. F., Brien, S. O., & Thorogood, A. (2007). Jogging over a Distance – Supporting a “Jogging Together” Experience Although Being Apart. CHI EA’07, 2579-2584.Mueller, F. F., Marshall, J., Khot, R. A., Nylander, S., & Tholander, J. (2016). Jogging at CHI. CHI EA’16,1119-1122.Nylander, S., Jacobsson, M., & Tholander, J. (2014). RunRight – Real-Time Visual and Audio Feedback on Running. CHI EA’14, 583-586.Nielsen, J. (1994). Enhancing the explanatory power of usability heuristics. the SIGCHI conference on Human Factors in Computing Systems, 152-158.Oliver, N., & Mangas, F. F. (2006). MPTrain: A Mobile, Music and Physiology-Based Personal Trainer. MobileHCI’06, 21-28.Peiris, R. L., Tharakan, M. J., Fernando, N., & Chrok, A. D., (2011). AmbiKraf: A nonemissive fabric display for fast changing textile animation. 2011 IFIP 9th International Conference on Embedded and Ubiquitous Computing, 221-228.Sauro, J., & Lewis JR. (2012) ‘Quantifying the user experience: Practical Statistics for User Research.’, Waltham, MA: Morgan Kaufmann Publishers In.Shen, C. L., Kao, T., Huang, C. T., & Lee, J. H., (2006). Wearable Band Using a Fabric-Based Sensor for Exercise ECG Monitoring. 2006 10th IEEE International Symposium on Wearable Computers.Xu, Y., Yang, W., Wang, J., Zhou, X., Li, H., & Huang, L., (2018). WiStep: Device-free Step Counting with WiFi Signals. Interactive, Mobile, Wearable and Ubiquitous Technologies, 172:1-23.Yu, Adam (2018) 先來做個易用性檢測 (Usability Reviews) 吧！談十大經驗法則. https://medium.com/@y3vu060312/%E5%88%A9%E7%94%A8%E5%8D%81%E5%A4%A7%E7%B6%93%E9%A9%97%E6%B3%95%E5%89%87%E8%88%87%E5%85%AB%E5%A4%A7%E9%BB%83%E9%87%91%E5%BE%8B%E5%81%9A%E5%A5%BD%E5%9F%BA%E7%A4%8E%E6%98%93%E7%94%A8%E6%80%A7%E6%AA%A2%E6%B8%AC-ux-notes-c454f96b12e6 retrieved 2021.6.23Zhou, B., Bahle, G., Furg, L., Singh, M. S., Cruz, H. Z., & Lukowicz, P., (2017). TRAINWEAR: a Real-Time Assisted Training Feedback System with Fabric Wearable Sensors. 2017 IEEE International Conference on Pervasive Computing and Communications Demonstrations.衛生福利部國民健康署（2018）。臺灣肥胖防治策略。台北市：健康署。王鴻祥、翁鵲嵐、鄭玉屏、張志傑（譯）（2011）。情感＠設計：為什麼有些設計讓你一眼就愛上。台北市：遠流。 描述 碩士
國立政治大學
數位內容碩士學位學程
105462014資料來源 http://thesis.lib.nccu.edu.tw/record/#G0105462014 資料類型 thesis dc.contributor.advisor 廖峻鋒<br>陳聖智 zh_TW dc.contributor.author (Authors) 林緯政 zh_TW dc.contributor.author (Authors) Lin, Wei-Cheng en_US dc.creator (作者) 林緯政 zh_TW dc.creator (作者) Lin, Wei-Cheng en_US dc.date (日期) 2021 en_US dc.date.accessioned 1-Jul-2021 21:02:59 (UTC+8) - dc.date.available 1-Jul-2021 21:02:59 (UTC+8) - dc.date.issued (上傳時間) 1-Jul-2021 21:02:59 (UTC+8) - dc.identifier (Other Identifiers) G0105462014 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/136011 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 數位內容碩士學位學程 zh_TW dc.description (描述) 105462014 zh_TW dc.description.abstract (摘要) 健康，對於現代人是一個相當重要的課題，而維持健康不外乎就是良好的飲食、充足的睡眠以及規律的運動。而要維持最規律運動最沒有成本以及最沒有門檻的就是跑步了。其中，穩定步頻為跑步中極為重要的元素。因此，本研究基於震動回饋穩定步頻以增進跑步效率，設計出 I-Jogging，由智能互動襪及手機應用程式所組成的穿戴式系統。本研究欲達成的目標為：讓使用者能在獨自一人的情況下，有穩定的頻率作為步頻跟隨的標準；使用裝置時減少對裝置的注意力，增加跑步時的安全性；使用裝置時不會因為額外過多的重量而影響跑步效率；可以自行調整震動頻率以符合自身跑步需求。上述目標旨於設計出一種新型態、增加使用裝置時安全性且用於跑步之穿戴式裝置。未來亦可望將此一方法擴大運用於其他運動中。本研究採觀察法及訪談法，實作 I-Jogging 穿戴式系統中的智能互動襪及手機應用程式作為原型工具。在經過三次系統迭代後，徵集五位受試者進行測試。實驗後發現，震動作為受試者跟隨步頻之依據是有效果的，能讓受試者輕易的穩定步頻。除此之外，手機應用程式步頻紊亂提示能清楚告訴使用者需要修正步頻，可以在跑步途中任意調整頻率，使得使用者也可以依據自身需求自行調整，震動回饋之於提升跑步效率是明顯有成效的。 zh_TW dc.description.abstract (摘要) Health and fitness are important to modern people. Main approaches for health and fitness include a good diet, adequate sleep, and regular exercise. Among these practices, jogging is one of the most popular approaches as it is with low cost and low barrier. For jogging, stabilizing stride frequency is the key to the effectiveness of the exercise. In this thesis, the author aims to investigate the design of a wearable system that helps the runner to maintain stable stride frequency based on vibration feedback devices. The prototype of the proposed design is called I-Jogging, which is a system with smart interactive socks and an App for mobile phones. The goal of this system is to assist the user to have a stable frequency without paying too much attention to the system. The smart interactive sock is made using conductive thread so that it is lightweight and does not affect running efficiency. Moreover, users can adjust the vibration frequency by themselves to meet their running needs.The prototype went through three system iterations. To evaluate the prototype, this research follows the observation and the interview methods simultaneously. The results indicate that vibration feedback is effective for users to follow the stride frequency, allowing users to easily stabilize the stride frequency. In addition, the mobile phone application stride frequency disorder prompt can tell the user that the stride frequency needs to be modified, and the frequency can be adjusted dynamically when jogging. In this way, the user can also adjust stride frequency according to their own needs. en_US dc.description.tableofcontents 圖次 6表次 7第一章 緒論 8第一節 研究背景與動機 8第二節 應用情境 11第三節 研究目標 12第四節 研究架構與流程 14第二章文獻探討 16第一節 科技如何提升運動效能 16第二節 穿戴式裝置在跑步中的回饋 18第三節 跑步中步頻的重要性 19第四節 跑步資訊的計算與統計 21第五節 電子織物的應用 24第六節 穿戴式裝置如何應用於運動之中 26第三章 系統設計 27第一節 設計概念 27第二節 設計構想 28第三節 設計說明 29第四節 操作流程 42第四章 評估與討論 44第一節 測試對象 44第二節 評估方法及流程 45第三節 評估結果分析 49第四節 研究限制 52第五章 結論 53參考文獻 55 zh_TW dc.format.extent 6447854 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0105462014 en_US dc.subject (關鍵詞) 穿戴式裝置 zh_TW dc.subject (關鍵詞) 人機互動 zh_TW dc.subject (關鍵詞) 運動 zh_TW dc.subject (關鍵詞) 跑步 zh_TW dc.subject (關鍵詞) 步頻 zh_TW dc.subject (關鍵詞) 震動 zh_TW dc.subject (關鍵詞) Wearable devices en_US dc.subject (關鍵詞) Human-computer interaction en_US dc.subject (關鍵詞) Sports en_US dc.subject (關鍵詞) Jogging en_US dc.title (題名) I-Jogging：基於震動回饋穩定步頻以增進跑步效率的穿戴式系統 zh_TW dc.title (題名) I-Jogging：Improve stride frequency to elevate jogging performance based on vibration feedback en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) Bateman, K. (2020). Counting 180 steps. Retrieved from https://olderyetfaster.com/running-myths-explained/counting-180-steps/Cheng, L., Roskilly, K., Kuntze, G., Tan, H., Lowe, J., Hailes, S., Kerwin, D. G., & Wilson, A. (2010). Stride information monitoring and sensing in sports. IEEE MASS 2010, 205-213.Cleghorn, J. (2017). Pros and Cons of Running While Listening to Music. Retrieved from https://medium.com/@jwcleghorn/pros-and-cons-of-running-while-listening-to-music-4a3703885929Norman, D., A. 2005. Emotional Design: Why We Love (or Hate) Everyday Things. Basic Books. New York, NY.Damen, L. (2020). Running With Music – The Pros And Cons. Retrieved from https://www.realbuzz.com/articles-interests/running/article/running-with-music-the-pros-and-cons/Dobos, P. (2020). The 180 Steps Per Minute Running Myth. Retrieved from https://endurelite.com/blogs/free-nutrition-supplement-and-training-articles-for-runners-and-cyclists/the-180-steps-per-minute-running-mythGrater, M. (2020). Should You Listen to Music While Running?. Retrieved from https://www.runnersworld.com/gear/a20799208/should-you-listen-to-music-while-running/Hao, T., Xing, G., & Zhou, G., (2015). RunBuddy: A Smartphone System for Running Rhythm Monitoring. UbiComp’15, 133-144.Högberg, P. (1952). How do stride length and stride frequency influence the energy-output during running ?. Arbeitsphysiologie 14, 437-441.Hong, J., & Baker, M., (2014, April-June). Wearable Computing. IEEE Pervasive Computing, 7-9.Ludvigsen, M., Fogtmann, M. H., & Grønbæk, K. (2010). TacTowers: An Interactive Training Equipment for Elite Athletes. Designing Interactive Systems ,10, 412-415.Lee, A., (2013)。十大易用性原則。取自https://blog.akanelee.me/posts/160115-top-ten-usability-principles/Mueller, F. F., Brien, S. O., & Thorogood, A. (2007). Jogging over a Distance – Supporting a “Jogging Together” Experience Although Being Apart. CHI EA’07, 2579-2584.Mueller, F. F., Marshall, J., Khot, R. A., Nylander, S., & Tholander, J. (2016). Jogging at CHI. CHI EA’16,1119-1122.Nylander, S., Jacobsson, M., & Tholander, J. (2014). RunRight – Real-Time Visual and Audio Feedback on Running. CHI EA’14, 583-586.Nielsen, J. (1994). Enhancing the explanatory power of usability heuristics. the SIGCHI conference on Human Factors in Computing Systems, 152-158.Oliver, N., & Mangas, F. F. (2006). MPTrain: A Mobile, Music and Physiology-Based Personal Trainer. MobileHCI’06, 21-28.Peiris, R. L., Tharakan, M. J., Fernando, N., & Chrok, A. D., (2011). AmbiKraf: A nonemissive fabric display for fast changing textile animation. 2011 IFIP 9th International Conference on Embedded and Ubiquitous Computing, 221-228.Sauro, J., & Lewis JR. (2012) ‘Quantifying the user experience: Practical Statistics for User Research.’, Waltham, MA: Morgan Kaufmann Publishers In.Shen, C. L., Kao, T., Huang, C. T., & Lee, J. H., (2006). Wearable Band Using a Fabric-Based Sensor for Exercise ECG Monitoring. 2006 10th IEEE International Symposium on Wearable Computers.Xu, Y., Yang, W., Wang, J., Zhou, X., Li, H., & Huang, L., (2018). WiStep: Device-free Step Counting with WiFi Signals. Interactive, Mobile, Wearable and Ubiquitous Technologies, 172:1-23.Yu, Adam (2018) 先來做個易用性檢測 (Usability Reviews) 吧！談十大經驗法則. https://medium.com/@y3vu060312/%E5%88%A9%E7%94%A8%E5%8D%81%E5%A4%A7%E7%B6%93%E9%A9%97%E6%B3%95%E5%89%87%E8%88%87%E5%85%AB%E5%A4%A7%E9%BB%83%E9%87%91%E5%BE%8B%E5%81%9A%E5%A5%BD%E5%9F%BA%E7%A4%8E%E6%98%93%E7%94%A8%E6%80%A7%E6%AA%A2%E6%B8%AC-ux-notes-c454f96b12e6 retrieved 2021.6.23Zhou, B., Bahle, G., Furg, L., Singh, M. S., Cruz, H. Z., & Lukowicz, P., (2017). TRAINWEAR: a Real-Time Assisted Training Feedback System with Fabric Wearable Sensors. 2017 IEEE International Conference on Pervasive Computing and Communications Demonstrations.衛生福利部國民健康署（2018）。臺灣肥胖防治策略。台北市：健康署。王鴻祥、翁鵲嵐、鄭玉屏、張志傑（譯）（2011）。情感＠設計：為什麼有些設計讓你一眼就愛上。台北市：遠流。 zh_TW dc.identifier.doi (DOI) 10.6814/NCCU202100552 en_US
