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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 李明穗 | |
| dc.contributor.author | Kuan-Yin Lu | en |
| dc.contributor.author | 呂冠穎 | zh_TW |
| dc.date.accessioned | 2021-06-15T11:29:23Z | - |
| dc.date.available | 2018-08-25 | |
| dc.date.copyright | 2016-08-25 | |
| dc.date.issued | 2016 | |
| dc.date.submitted | 2016-08-17 | |
| dc.identifier.citation | [1] Hong, Y., & Li, J. X. (2007). Biomechanics of Tai Chi: a review. Sports biomechanics, 6(3), 453-464.
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C., Liu, W., Finley, M., & McQuade, K. (2007). Muscle activation profiles about the knee during Tai-Chi stepping movement compared to the normal gait step. Journal of Electromyography and Kinesiology, 17(3), 372-380. [26] Tseng, S. C., Liu, W., Finley, M., & McQuade, K. (2007). Muscle activation profiles about the knee during Tai-Chi stepping movement compared to the normal gait step. Journal of Electromyography and Kinesiology, 17(3), 372-380. [27] González, A., Hayashibe, M., & Fraisse, P. (2012, October). Estimation of the Center of Mass with Kinect and Wii balance board. In 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (pp. 1023-1028). IEEE. [28] Dutta, T. (2012). Evaluation of the Kinect™ sensor for 3-D kinematic measurement in the workplace. Applied ergonomics, 43(4), 645-649. [29] Cotton, S., Murray, A. P., & Fraisse, P. (2009). Estimation of the center of mass: From humanoid robots to human beings. 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Articulated Non-Rigid Point Set Registration for Human Pose Estimation from 3D Sensors. Sensors, 15(7), 15218-15245. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/49453 | - |
| dc.description.abstract | 相較於傳統的多媒體影片的學習方式，本研究建構一套基於深度攝影機及重心回饋科技來提供視覺引導和學習回饋之智慧型太極拳訓練系統。進而讓使用者可藉由本系統在沒有教練在的情況下獨自練習。為使得動作訓練系統更加完善，本研究針對深度攝影機的諸多限制，整理並提出相關系統之設計準則，以讓系統可獲取更正確的資訊來做動作分析。另外，在多媒體學習策略部分，本系統採用七階層漸進式學習模組，其中結合了動作學習和重量轉移學習兩部分。最後，本研究採用三種不同介面來評估本系統－分別是只看影片學習、顯示骨架的引導和回饋學習，與顯示骨架和重量轉移的引導和回饋學習。結果顯示有加入重量轉移的引導和回饋機制對於學習太極拳動作非常有效，且重量轉移的學習可幫助學員在肢體動作上的學習。 | zh_TW |
| dc.description.abstract | In comparison with the traditional learning method by video, our research is developing a smart physical training system to practice Tai-Chi Chuan with a depth-camera-based and pressure sensing technology for supporting visual guidance and feedback. Users are capable of practicing TCC alone without instructors. To make our training system be more wonderful, we focus on investigating the limitation caused by a depth-camera-based, and advance the design guidelines for acquiring more correct information to analyze. Moreover, in our learning module, we introduce seven step-by-step learning stages which include movements learning and weight-transfer learning. Finally, our research adopts three different interfaces to evaluate our training system, which are video only, skeleton feedback, and skeleton&weight-transfer feedback interface. The result demonstrates that adding weight-transfer feedback is beneficial for trainees to learn the Tai-Chi movements. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T11:29:23Z (GMT). No. of bitstreams: 1 ntu-105-R03922088-1.pdf: 2401687 bytes, checksum: d3b27f59627caed90a61b305c5cc4b34 (MD5) Previous issue date: 2016 | en |
| dc.description.tableofcontents | 口試委員會審定書 i
誌謝 ii 中文摘要 iii ABSTRACT iv CONTENTS v LIST OF FIGURES vii LIST OF TABLES ix Chapter 1 Introduction 1 Chapter 2 Related Work 4 2.1 Physical Activity Training 4 2.2 Movement Guidance 5 2.3 Body Weight-Transfer 6 Chapter 3 Design Consideration 7 3.1 Scenario of Smart TV 7 3.2 Insight of Learning Tai-Chi Chuan 7 3.3 Design a Kinect-Based Training System of Tai-Chi Chuan 8 3.3.1 Training System Design of Tai-Chi Chuan 8 3.3.2 Kinect Limitation 9 3.3.3 Design Guideline 10 3.4 Standard Movement 12 3.4.1 Skeleton Recorded by Vicon 13 3.4.2 Weight-Transfer Distribution Recorded by Vicon 15 Chapter 4 Implementation of SoM-SmartTV 17 4.1 System Overview 17 4.2 Learning Strategy and Learning Module 18 4.2.1 Learning Strategy 18 4.2.2 Learning Module 18 4.3 Visual Guidance and Feedback Techniques 21 4.3.1 Visual Guidance 21 4.3.2 Feedback Techniques（Real-time Feedback） 22 4.3.3 Feedback Techniques（Summary Feedback） 24 4.4 Scoring System 24 Chapter 5 Evaluation 27 5.1 Experiment Design 27 5.2 Result 29 Chapter 6 Discussion 31 Chapter 7 Conclusion and Future Work 34 REFERENCE 35 | |
| dc.language.iso | en | |
| dc.subject | 設計準則 | zh_TW |
| dc.subject | 動作訓練系統 | zh_TW |
| dc.subject | 太極拳 | zh_TW |
| dc.subject | 深度攝影機 | zh_TW |
| dc.subject | 重量轉移回饋 | zh_TW |
| dc.subject | physical training system | en |
| dc.subject | design guidelines | en |
| dc.subject | weighttransfer feedback | en |
| dc.subject | depth-camera-based | en |
| dc.subject | Tai-Chi Chuan | en |
| dc.title | 建構一套基於深度攝影機和重心回饋之太極拳訓練系統 | zh_TW |
| dc.title | Developing a Depth-Camera-Based Training System with Weight-Transfer Feedback for Practicing Tai-Chi Chuan | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 104-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.coadvisor | 洪一平 | |
| dc.contributor.oralexamcommittee | 邱志義,陳永昇,陳淑惠 | |
| dc.subject.keyword | 動作訓練系統,太極拳,深度攝影機,重量轉移回饋,設計準則, | zh_TW |
| dc.subject.keyword | physical training system,Tai-Chi Chuan,depth-camera-based,weighttransfer feedback,design guidelines, | en |
| dc.relation.page | 38 | |
| dc.identifier.doi | 10.6342/NTU201602585 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2016-08-17 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 資訊工程學研究所 | zh_TW |
| 顯示於系所單位： | 資訊工程學系 | |
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| ntu-105-1.pdf 未授權公開取用 | 2.35 MB | Adobe PDF |
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