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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 康仕仲 | |
dc.contributor.author | Jyun-Jie Jhao | en |
dc.contributor.author | 趙君傑 | zh_TW |
dc.date.accessioned | 2021-06-17T08:21:23Z | - |
dc.date.available | 2024-08-19 | |
dc.date.copyright | 2019-08-19 | |
dc.date.issued | 2019 | |
dc.date.submitted | 2019-08-13 | |
dc.identifier.citation | S. Azenkot, R. E. Ladner, and J. O. Wobbrock. Smartphone haptic feedback for non-visual wayfinding. In The proceedings of the 13th international ACM SIGACCESS conference on Computers and accessibility, pages 281–282. ACM, 2011.
K. Bark, E. Hyman, F. Tan, E. Cha, S. A. Jax, L. J. Buxbaum, and K. J. Kuchen-becker. Effects of vibrotactile feedback on human learning of arm motions. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 23(1):51–63, 2015. K. Bark, P. Khanna, R. Irwin, P. Kapur, S. A. Jax, L. J. Buxbaum, and K. J. Kuchen-becker. Lessons in using vibrotactile feedback to guide fast arm motions. In 2011 IEEE World Haptics Conference, pages 355–360. IEEE, 2011. S. P. Bird, K. M. Tarpenning, and F. E. Marino. Designing resistance training programmes to enhance muscular fitness. Sports medicine, 35(10):841–851, 2005. H.-Y. Chen, J. Santos, M. Graves, K. Kim, and H. Z. Tan. Tactor localization at the wrist. In International Conference on Human Haptic Sensing and Touch Enabled Computer Applications, pages 209–218. Springer, 2008. A. Cosgun, E. A. Sisbot, and H. I. Christensen. Evaluation of rotational and directional vibration patterns on a tactile belt for guiding visually impaired people. In 2014 IEEE Haptics Symposium (HAPTICS), pages 367–370. IEEE, 2014. H. Culbertson, J. M. Walker, M. Raitor, and A. M. Okamura. Waves: A wearable asymmetric vibration excitation system for presenting three-dimensional translation and rotation cues. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pages 4972–4982. ACM, 2017. S. J. Fleck. Cardiovascular adaptations to resistance training. Medicine and science in sports and exercise, 20(5 Suppl):S146–51, 1988. S. Günther, F. Müller, M. Funk, J. Kirchner, N. Dezfuli, and M. Mühlhäuser. Tactileglove: Assistive spatial guidance in 3d space through vibrotactile navigation. In Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference, pages 273–280. ACM, 2018. J. Hong, A. Pradhan, J. E. Froehlich, and L. Findlater. Evaluating wrist-based haptic feedback for non-visual target finding and path tracing on a 2d surface. In Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility, pages 210–219. ACM, 2017. J. Hong, L. Stearns, J. Froehlich, D. Ross, and L. Findlater. Evaluating angular accuracy of wrist-based haptic directional guidance for hand movement. In Graphics Interface, pages 195–200, 2016. hypertextbook. Size of a human: Body proportions, 2005. S. Kammoun, C. Jouffrais, T. Guerreiro, H. Nicolau, and J. Jorge. Guiding blind people with haptic feedback. Frontiers in Accessibility for Pervasive Computing (Pervasive 2012), 3, 2012. H. Kanehisa and M. Miyashita. Specificity of velocity in strength training. European journal of applied physiology and occupational physiology, 52(1):104–106, 1983. Y.-C. Liao, Y.-L. Chen, J.-Y. Lo, R.-H. Liang, L. Chan, and B.-Y. Chen. Edgevib: effective alphanumeric character output using a wrist-worn tactile display. In Proceedings of the 29th Annual Symposium on User Interface Software and Technology, pages 595–601. ACM, 2016. J. Lieberman and C. Breazeal. Tikl: Development of a wearable vibrotactile feedback suit for improved human motor learning. IEEE Transactions on Robotics, 23(5):919–926, 2007. M. Matscheko, A. Ferscha, A. Riener, and M. Lehner. Tactor placement in wrist worn wearables. In International Symposium on Wearable Computers (ISWC) 2010, pages 1–8. IEEE, 2010. A. C. of Sports Medicine et al. American college of sports medicine position stand. progression models in resistance training for healthy adults. Medicine and science in sports and exercise, 41(3):687, 2009. W. H. Organization. Global strategy on diet, physical activity and health, 2019. N. Ratamess, B. Alvar, T. Evetoch, T. Housh, W. Kibler, W. Kraemer, et al. Progression models in resistance training for healthy adults [acsm position stand]. Med Sci Sports Exerc, 41(3):687–708, 2009. C. Rossa, J. Fong, N. Usmani, R. Sloboda, and M. Tavakoli. Multiactuator haptic feedback on the wrist for needle steering guidance in brachytherapy. IEEE Robotics and Automation Letters, 1(2):852–859, 2016. M. F. Rotella, K. Guerin, X. He, and A. M. Okamura. Hapi bands: a haptic augmented posture interface. In 2012 IEEE Haptics Symposium (HAPTICS), pages 163–170. IEEE, 2012. S. Rümelin, E. Rukzio, and R. Hardy. Naviradar: a novel tactile information display for pedestrian navigation. In Proceedings of the 24th annual ACM symposium on User interface software and technology, pages 293–302. ACM, 2011. B. J. Schoenfeld. The mechanisms of muscle hypertrophy and their application to resistance training. The Journal of Strength & Conditioning Research, 24(10):2857–2872, 2010. Y.-C. Tung, C.-Y. Hsu, H.-Y. Wang, S. Chyou, J.-W. Lin, P.-J. Wu, A. Valstar, and M. Y. Chen. User-defined game input for smart glasses in public space. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, pages 3327–3336. ACM, 2015. J. B. Van Erp, H. A. Van Veen, C. Jansen, and T. Dobbins. Waypoint navigation with a vibrotactile waist belt. ACM Transactions on Applied Perception (TAP), 2(2):106– 117, 2005. Wikipedia. Anatomical terms of location, 2019. J. O. Wobbrock, H. H. Aung, B. Rothrock, and B. A. Myers. Maximizing the guessability of symbolic input. In CHI’05 extended abstracts on Human Factors in Computing Systems, pages 1869–1872. ACM, 2005. J. O. Wobbrock, M. R. Morris, and A. D. Wilson. User-defined gestures for surface computing. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pages 1083–1092. ACM, 2009. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/74136 | - |
dc.description.abstract | 力量訓練可以改善健康,健康,身體形象和運動表現。在力量訓練期間,肌肉反復經歷3個階段的變化,從肌肉縮短(同心)到保持相同的長度(等距)到延長(離心)。這種同心-等距-離心循環的時間稱為「節奏」,三個階段之間的最佳比例因不同的目標而不同。本文介紹了「動力節奏」,一種可穿戴設備,引導用戶透過一系列震動回饋來遵循節奏。我們首先進行了一項20人的用戶定義研究,以了解人們如何將振動回饋映射到不同的力量訓練動作,並分析了100種振動模式以確定最佳的震動模式。接著我們實作了「動力節奏」雛形裝置,在12人評估結果顯示,用戶可以根據設計的振動觸覺反饋區分當前的重複階段,我們的系統顯著提高了節奏精度達28%(p<0.01)。與沒有振動反饋和簡化的振動反饋相比,參與者更傾向於用戶定義的振動反饋模式到其他條件(75%)和額定用戶定義的振動反饋模式在性能方面更好。 | zh_TW |
dc.description.abstract | Strength training improves fitness, health, body image, and athletic performance. During strength training, the muscles repeatedly go through 3 stages of changes in length, from shortening (concentric) to maintaining the same length (isometric) to lengthening (eccentric). The timing of this concentric-isometric-eccentric cycle is called tempo and the optimal ratio between the three phases is different for different goals. This paper presents PowerTempo, a wearable device which guides users to follow the tempo by series of vibrations. We first conducted a 20-person user-defined study to understand how people map vibration to different strength training motions and tempo, and analyzed 100 vibration patterns to identify the best candidates. We implemented a PowerTempo prototype and our 12-person evaluation results show that vibrotactile feedback significantly improved tempo accuracy by up to 28% (p<0.01). Participants preferred user-defined vibration feedback pattern to other conditions and rated user-defined vibration feedback pattern better in terms of performance than no vibration feedback and simplified vibration feedback (75%). | en |
dc.description.provenance | Made available in DSpace on 2021-06-17T08:21:23Z (GMT). No. of bitstreams: 1 ntu-108-R06521609-1.pdf: 1627074 bytes, checksum: 457f4fc4c855322c12090d29c17d0e1b (MD5) Previous issue date: 2019 | en |
dc.description.tableofcontents | 誌謝 i
摘要 ii Abstract iii 1 Introduction 1 2 Related work 4 2.1 Resistance Training Guidelines . . . . . . . . . . . . . . . . . . . . . . . 4 2.2 Vibrotactile Feedback for Guidance . . . . . . . . . . . . . . . . . . . . 5 3 User-defined Vibrotactile Feedback pattern study 6 3.1 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 3.2 Design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 3.3 Implementation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 3.4 Motion task . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 3.5 Participants . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 3.6 Procedure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 4 User-Defined result 12 4.1 Classification of Vibrotactile Feedback Pattern . . . . . . . . . . . . . . 12 4.2 User-Defined Vibrotactile Feedback Pattern Set . . . . . . . . . . . . . . 14 5 Evaluation 17 5.1 Participants . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 5.2 Experimental Design . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 5.2.1 Conditions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 5.2.2 Simplified . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 5.2.3 Procedure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 5.3 Accuracy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 5.4 NASA-TLX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 5.5 Qualitative Feedback . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 5.5.1 Advantage . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 5.5.2 Disadvantage . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 5.5.3 Suggestions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 6 CONCLUSION 23 Bibliography 24 | |
dc.language.iso | zh-TW | |
dc.title | 動力節奏:使用即時震動回饋提升力量訓練的節奏準確率 | zh_TW |
dc.title | PowerTempo: Improving Strength Training Tempo Accuracy by Using Real-time Vibrotactile Feedback | en |
dc.type | Thesis | |
dc.date.schoolyear | 107-2 | |
dc.description.degree | 碩士 | |
dc.contributor.coadvisor | 陳彥仰 | |
dc.contributor.oralexamcommittee | 鄭龍磻,余能豪 | |
dc.subject.keyword | 力量訓練,節奏,可穿戴設備, | zh_TW |
dc.subject.keyword | Strength training,tempo,wearable device, | en |
dc.relation.page | 27 | |
dc.identifier.doi | 10.6342/NTU201902937 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2019-08-14 | |
dc.contributor.author-college | 工學院 | zh_TW |
dc.contributor.author-dept | 土木工程學研究所 | zh_TW |
顯示於系所單位: | 土木工程學系 |
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