English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 109874/140825 (78%)
Visitors : 45938270      Online Users : 346
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/136011

    Title: 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
    Authors: 林緯政
    Lin, Wei-Cheng
    Contributors: 廖峻鋒

    Lin, Wei-Cheng
    Keywords: 穿戴式裝置
    Wearable devices
    Human-computer interaction
    Date: 2021
    Issue Date: 2021-07-01 21:02:59 (UTC+8)
    Abstract: 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.
    Reference: 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-4a3703885929
    Norman, 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-myth
    Grater, 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 2021.6.23
    Zhou, 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.
    Description: 碩士
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0105462014
    Data Type: thesis
    DOI: 10.6814/NCCU202100552
    Appears in Collections:[數位內容碩士學位學程] 學位論文
    [數位內容與科技學士學位學程] 學位論文

    Files in This Item:

    File Description SizeFormat
    201401.pdf6296KbAdobe PDF2162View/Open

    All items in 政大典藏 are protected by copyright, with all rights reserved.

    社群 sharing

    著作權政策宣告 Copyright Announcement
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback