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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/98660
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dc.contributor.advisor洪一平zh_TW
dc.contributor.advisorYi-Ping Hungen
dc.contributor.author鄧英杰zh_TW
dc.contributor.authorMiguel Then Ying Jieen
dc.date.accessioned2025-08-18T01:15:24Z-
dc.date.available2025-08-18-
dc.date.copyright2025-08-15-
dc.date.issued2025-
dc.date.submitted2025-08-05-
dc.identifier.citationESP32 Wi-Fi & Bluetooth SoC | Espressif Systems — espressif.com. https://www.espressif.com/en/products/socs/esp32.
GitHub - aras-p/UnityGaussianSplatting: Toy Gaussian Splatting visualization in Unity — github.com. https://github.com/aras-p/UnityGaussianSplatting. [Accessed 16-07-2025].
Key considerations — developers.meta.com. https://developers.meta.com/horizon/design/mr-design-guideline/.
Open Sound Control - Wikipedia — en.wikipedia.org. https://en.wikipedia.org/wiki/Open_Sound_Control.
The Health Benefits of Tai Chi - Harvard Health Publishing - Harvard Health — health.harvard.edu. https://www.health.harvard.edu/staying-healthy/the-health-benefits-of-tai-chi#:~:text=This%20gentle%20form% 20of%20exercise,the%20rest%20of%20your%20life.
Wii Balance Board - Wikipedia — en.wikipedia.org. https://en.wikipedia.org/wiki/Wii_Balance_Board.
吳榮輝副理事長 — wtccf.blogspot.com. https://wtccf.blogspot.com/2022/03/blog-post.html.
Tai chi quan’s releasing and resisting 太 極 拳 的 “丟 與 頂" 及 “沾 連 黏 隨". http://taijiquan.com.tw/power/power32.html, 2005.11.16.
T. G. Bang, S. Fdili Alaoui, and E. Schwartz. Designing in conversation with dance practice. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, CHI ’23, New York, NY, USA, 2023. Association for Computing Machinery.
K. Bourahmoune, K. Ishac, and M. Carmichael. A remote training platform for learning physical skills using an ai powered virtual coach and a novel iot sensing mat. In SIGGRAPH Asia 2023 Posters, pages 1–2. 2023.
R. Gouveia, F. Pereira, E. Karapanos, S. A. Munson, and M. Hassenzahl. Exploring the design space of glanceable feedback for physical activity trackers. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp ’16, page 144–155, New York, NY, USA, 2016. Association for Computing Machinery.
P.-H. Han, Y.-S. Chen, Y. Zhong, H.-L. Wang, and Y.-P. Hung. My tai-chi coaches: an augmented-learning tool for practicing tai-chi chuan. In Proceedings of the 8th Augmented Human International Conference, pages 1–4, 2017.
R. Hohmuth, D. Schwensow, H. Malberg, and M. Schmidt. A wireless rowing measurement system for improving the rowing performance of athletes. Sensors, 23(3):1060, 2023.
K. Höök, B. Caramiaux, C. Erkut, J. Forlizzi, N. Hajinejad, M. Haller, C. C. Hummels, K. Isbister, M. Jonsson, G. Khut, et al. Embracing first-person perspectives in soma-based design. In Informatics, volume 5, page 8. MDPI, 2018.
F. Hülsmann, J. P. Göpfert, B. Hammer, S. Kopp, and M. Botsch. Classification of motor errors to provide real-time feedback for sports coaching in virtual reality —a case study in squats and tai chi pushes. Computers Graphics, 76:47–59, 2018.
I. Interlink Electronics. FSR 406 — interlinkelectronics.com. https://www.interlinkelectronics.com/fsr-406.
K. Ishac, K. Bourahmoune, and M. Carmichael. An iot sensing platform and serious game for remote martial arts training. Sensors, 23(17):7565, 2023.
Y.-F. Jan, K.-W. Tseng, P.-Y. Kao, and Y.-P. Hung. Augmented tai-chi chuan practice tool with pose evaluation. In 2021 IEEE 4th International Conference on Multimedia Information Processing and Retrieval (MIPR), pages 35–41, 2021.
P.-Y. Kao, P.-H. Han, Y.-F. Jan, Z.-W. Yang, C.-H. Li, and Y.-P. Hung. On learning weight distribution of tai chi chuan using pressure sensing insoles and mr-hmd. In 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), pages 1457–1464, 2019.
S. Kollannur, Katherine, Robertson, and H. Culbertson. Developing a modular toolkit for rapid prototyping of wearable vibrotactile haptic harness, 2024.
R. Najami and R. Ghannam. Enhancing tennis training with real-time swing data visualisation in immersive virtual reality, 2025.
Y. Okada, T. Ogata, and H. Matsuguma. Component-based approach for prototyping of tai chi-based physical therapy game and its performance evaluations. Computers in Entertainment (CIE), 14(1):1–20, 2016.
Y. Suzuki, D. Sakamoto, and T. Ono. Gino .aiki: Mixed reality-based physical motor skill training in aikido. In 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), pages 519–524, 2023.
F. Tian, S. Ni, X. Zhang, F. Chen, Q. Zhu, C. Xu, and Y. Li. Enhancing tai chi training system: Towards group-based and hyper-realistic training experiences. IEEE Transactions on Visualization and Computer Graphics, 2024.
F. Tian, J. Zou, K. Li, and Y. Li. Kung fu metaverse: A movement guidance training system. IEEE Transactions on Learning Technologies, 16(6):1082–1095, 2023.
S. Vando, M. Haddad, D. Masala, L. Falese, and J. Padulo. Visual feedback training in young karate athletes. Muscles, Ligaments and Tendons Journal, 4:137 – 140, 07 2014.
S. Vando, S. Longo, L. Cavaggioni, L. Maurino, A. Larion, P. L. Invernizzi, and J. Padulo. The effects of short-term visual feedback training on the stability of the roundhouse kicking technique in young karatekas. International Journal of Environmental Research and Public Health, 18(4):1961, 2021.
E. Vikberg, Y.-H. Tseng, T. Moesgen, R. Gowrishankar, and Y. Xiao. Thermotouch: Exploring a modular design of a programmable wearable thermo-haptic device. In Proceedings of the 2024 ACM International Conference on Interactive Media Experiences Workshops, IMXw ’24, page 122–126, New York, NY, USA, 2024. Association for Computing Machinery.
P. Wang, Z. Zhang, L. Wang, K. Yao, S. Xie, J. Yu, M. Wu, and L. Xu. V^ 3: Viewing volumetric videos on mobiles via streamable 2d dynamic gaussians. ACM Transactions on Graphics (TOG), 43(6):1–13, 2024.
Z. Yuqing, C. Mingliang, Z. Haoyang, and Z. Yong. Vr technology and application in martial arts. In 2021 IEEE 7th international conference on virtual reality (ICVR), pages 240–245. IEEE, 2021.
Y. Zhang, B. Liang, B. Chen, P. M. Torrens, S. F. Atashzar, D. Lin, and Q. Sun. Force-aware interface via electromyography for natural vr/ar interaction. ACM Trans.Graph., 41(6), Nov. 2022.
J. Zimmermann, K. Bredenkamp, J. Hwong, and K. Jadhav. Human interface guidelines for interaction zones in ar. Human Interaction & Emerging Technologies(IHIET 2022): Artificial Intelligence & Future Applications, 68(68), 2022.
吳榮輝. 傳統太極拳推手. 碩士論文, 國立體育學院教練研究所, 2004. Available at https://hdl.handle.net/11296/qvv2m7.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/98660-
dc.description.abstract太極推手是一種強調細膩感知與內勁運用的傳統對練方式,其中「聽勁」能力對於理解與應對對方施力至關重要。然而,由於這種技巧主要靠長時間的感受和身體經驗累積,沒有明確標準可依,初學者通常不容易學會且難以量化,初學者往往難以掌握。本研究提出一套結合擴增實境(XR)與視覺回饋的訓練系統,以協助學習者在練習太極推手時更清楚地理解施力情況。我們開發了可穿戴感測袖套,內嵌壓力感測器,可即時量測對練時的接觸壓力,並將資料透過無線方式傳送至XR頭戴裝置進行視覺化。系統介面中包括動態壓力時變圖與對應手臂部位的感測位置圖,讓使用者能即時察覺自身施力情形。
我們亦透過高擬真的4D高斯潑灑技術建構虛擬教練,提供真實的動作示範,以提升學習效果。透過與太極教練的長期合作與示範實測,我們持續優化系統設計,並觀察到視覺回饋能有效幫助學習者覺察與調整動作與力道表現。未來將進一步進行正式使用者研究與硬體模組的精簡設計。本研究展示了傳統內家武術在數位技術輔助下的創新學習可能性,使抽象內勁原則得以具象化、視覺化與量化。
zh_TW
dc.description.abstractTai Chi pushing hands is a traditional partnered martial arts practice that emphasizes sensitivity to subtle forces, known as Tīng Jìng (聽勁). However, due to its internalized nature, Tīng Jìng is difficult for beginners to grasp as it requires learning experience and hard to quantify objectively. In this work, we present an extended reality (XR) system designed to enhance Tai Chi pushing hands training by providing real-time visual feedback on applied force. Our system features wearable sleeves embedded with force-sensitive resistors (FSRs) that capture pressure data during practice and transmit it wirelessly to an XR headset. The headset interface visualizes the data using time-varying plot and a pressure mapping display on a forearm illustration, helping users perceive when and where pressure is applied.
Additionally, we incorporate a photorealistic virtual coach captured using 4D Gaussian Splatting to assist learners in imitating correct movements. Through close collaboration with a Tai Chi coach and demonstrative sessions, we iteratively refined our system and observed its potential to support both skill development and self-awareness. While this study focuses on qualitative feedback, future work will involve formal user studies and hardware refinement. Ultimately, our system provides a novel approach to making the invisible principles of internal martial arts perceptible, measurable, and teachable through immersive technology.
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dc.description.provenanceSubmitted by admin ntu (admin@lib.ntu.edu.tw) on 2025-08-18T01:15:24Z
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dc.description.provenanceMade available in DSpace on 2025-08-18T01:15:24Z (GMT). No. of bitstreams: 0en
dc.description.tableofcontentsAcknowledgements i
摘要 ii
Abstract iii
Contents v
List of Figures vii
Chapter 1 Introduction 1
Chapter 2 Related Works 3
2.1 XR Martial Arts Learning 3
2.2 Force Data Acquisition for XR Applications 5
2.3 Visual Feedback Training in XR 6
Chapter 3 Design Considerations 8
3.1 Collaboration with Tai Chi Practitioners 8
3.2 Modular Design for Pressure Data Acquisition System 9
3.3 Visualization Interface Design 11
3.3.1 Virtual Coach 11
3.3.2 Plot Design 13
3.3.3 Visualization Interface Spatial Placement 14
Chapter 4 Design and Implementation 16
4.1 Wearable Sleeves for Data Acquisition 16
4.2 Visual Feedback Training Interface in XR Headset 18
4.2.1 Learning Component 18
4.2.2 Visual Feedback Component 20
Chapter 5 User Scenario and Discussion 22
5.1 Demonstrative Scenarios 22
5.2 Effectiveness of Our System 24
5.3 Limitations 25
5.4 Reflection on Our System 26
Chapter 6 Conclusion 28
References 30
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dc.language.isoen-
dc.subject視覺回饋zh_TW
dc.subject身體化學習zh_TW
dc.subject穿戴式感測技術zh_TW
dc.subject擴增實境zh_TW
dc.subject太極推手zh_TW
dc.subjectVisual Feedbacken
dc.subjectEmbodied Learningen
dc.subjectWearable Sensing Technologyen
dc.subjectExtended Realityen
dc.subjectTai Chi Pushing Handsen
dc.title基於壓力感測之 XR 視覺回饋強化太極推手練習zh_TW
dc.titleEnhancing Tai Chi Pushing Hands Practice with XR Visualization Feedback from Pressure Sensingen
dc.typeThesis-
dc.date.schoolyear113-2-
dc.description.degree碩士-
dc.contributor.oralexamcommittee陳祝嵩;林經堯;陳維超;鄭龍磻zh_TW
dc.contributor.oralexamcommitteeChu-Song Chen;Jin-Yao Lin;Wei-Chao Chen;Lung-Pan Chengen
dc.subject.keyword太極推手,視覺回饋,擴增實境,穿戴式感測技術,身體化學習,zh_TW
dc.subject.keywordTai Chi Pushing Hands,Visual Feedback,Extended Reality,Wearable Sensing Technology,Embodied Learning,en
dc.relation.page34-
dc.identifier.doi10.6342/NTU202503584-
dc.rights.note同意授權(全球公開)-
dc.date.accepted2025-08-11-
dc.contributor.author-college電機資訊學院-
dc.contributor.author-dept資訊網路與多媒體研究所-
dc.date.embargo-lift2025-08-18-
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