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研究生: 曾昭銘
Chao-ming Tseng
論文名稱: 整合動作感應與影像追蹤之居家照護與上肢運動遊戲雛型設計
A Prototype Design Integrating Motion Sensor and Image Tracking for Home Care and Upper Limbs Exercise Game
指導教授: 王孔政
Kung-Jeng Wang
口試委員: 歐陽超
Chao Ou-Yang
郭伯勳
Po-Hsun Kuo
學位類別: 碩士
Master
系所名稱: 管理學院 - 工業管理系
Department of Industrial Management
論文出版年: 2011
畢業學年度: 99
語文別: 英文
論文頁數: 64
中文關鍵詞: 指向偵測與辨識需求表達輔具上肢運動遊戲動作感應
外文關鍵詞: pointing detection and recognition, requirement expression aid, upper limbs exercise game, motion sensor
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  • 腦中風是影響國人健康最主要的疾病,嚴重影響到病患之日常生活功能和生活品質。這些慢性病患在治療過程耗費相當多的醫療照護資源,因此,針對腦中風急性期之治療,以及二次中風之預防,開發省力化照護設備成為本研究主題。本研究整合動作感應與影像辨識追蹤發展一人機介面,內容包含病患需求表達輔具與上肢運動遊戲模組。需求表達輔具是以即時的影像偵測建立指向偵測與辨識能力,以期使用者可以使用自然指向進行遙控達到表達需求的能力;需求表達輔具亦可使用感測器進行遙控。而上肢運動遊戲模組則透過影像辨識,結合音樂與運動遊戲,期望未來研究能實際達到復健療效並加強使用者復健的意願。


    Stroke is a major disease affecting people's health, which seriously affects the patient's daily life function and quality of life. These chronic diseases consume a lot of medical care resources in the treatment process. Therefore, for the treatment of acute stroke and secondary prevention of stroke, this study focuses on the development of care facilities. We integrate motion sensor and image recognition to develop a human-machine interface, including a requirements expression aid and upper limbs exercise game module. Requirement expression aid is based on real-time image detection to establish the capability of pointing detection and recognition, hoping that users can use natural pointing for remote control and maintain the ability to communicate with people. It can also use the motion sensor for remote control. The upper limbs exercise game module combines music and limbs exercise, through image recognition, to build an interactive game module. Expect it to become a potential rehabilitation device and to strengthen the patient's will during the rehabilitation process.

    中文摘要 i Abstract ii Content iii List of Table v List of Figures vi Chapter 1 Introduction 1 1.1 Research background and motivation 1 1.2 Research objectives 3 1.3 Research framework 3 Chapter 2 Literature Review 4 2.1 Stroke symptoms and requirements analysis 4 2.2 Rehabilitation research (The existing rehabilitation aids) 7 2.2.1 Augmentative and alternative communication system 7 2.2.2 Rehabilitation game 10 2.3 Micro-sensors research 14 2.4 Image recognition and tracking 18 2.5 Music therapy in physical medicine and rehabilitation 20 Chapter 3 System Design and Development 22 3.1 System framework 22 3.2 Research procedure 25 3.3 Pointing orientation detection and recognition 26 3.3.1 Wii remote connection and data processing 27 3.3.2 Image recognition and tracking 29 3.4 Requirements expression aids 33 3.5 Upper limbs exercise game 35 3.5.1 Exercise 1: “Keep the Music Playing” 36 3.5.2 Exercise 2: “Change the Volume of the Music” 37 3.5.3 Exercise 3: “Play a Rhythm” 38 3.5.4 Exercise 4: “Play a Melody” 39 3.5.5 Exercise 5: “Follow a Melody” 39 Chapter 4 Rehabilitation Experiment for Scenario 42 4.1 User design 42 4.2 Requirements expression aids 43 4.3 Upper limbs exercise game 45 4.3.1 Exercise 1: “Keep the Music Playing.” 46 4.3.2 Exercise 2: “Change the Volume of the Music.” 47 4.3.3 Exercise 3: “Play a Rhythm.” 47 4.3.4 Exercise 4: “Play a Melody.” 48 4.3.5 Exercise 5: “Follow a Melody.” 49 Chapter 5 Conclusion 50 Reference 52 Appendix 54

    Alankus, G., Lazar, A., May, M., and Kelleher, C., “Towards customizable games for stroke rehabilitation,” Proceedings of the 28th international conference on Human factors in computing systems, Atlanta, Georgia, USA, April 10-15, pp. 2113-2122, 2010.

    Chen, C.-F. and Wu, S.-C., “Factors Affecting Caregivers Willingness to use Long-Term Care Services,” Journal of Population Studies, no. 32, pp. 83-121, June 2006.

    Decker, J., Li, H., Losowyj, D., and Prakash. V., “Wiihabilitation: rehabilitation of wrist flexion and extension using a wiimote-based game system,” Governor's School of Engineering and Technology Research Journal, 2009.

    Fan, B.-L., Shueh, W.-M., Tsai, A.-C., Kuo, K.-L., Chiang, M., Lin, Y.-S., and Teng, C.-W., “The game design with applying micro sensors in medical rehabilitation,” Conference of Toy, Game, and Plastic Design, 2008.

    Gorman, M., Betke, M., Saltzman, E., and Lahav, A., “Musicmaker – a camerabased music making tool for physical rehabilitation,” Boston University Computer Science Technical Report, no. 32, 2005.

    Guralnik J. M. and Simonsick E. M., “Physical disability in older Americans,” Journal of Gerontology, vol. 48, pp. 3-10, Sep. 1993.

    Hsieh, C.-J.,“Application and Measurement of Cognitive Function in the Elderly,” The Journal of Health Science, vol. 5, no. 4, pp. 987-395, Oct. 2003.

    Jensenius, A. R., Godoy, R., and Wanderley, M. M., “Developing Tools for Studying Musical Gestures within the Max/MSP/Jitter Environment,”Proceedings of the 2005 International Computer Music Conference, San Francisco, California: International Computer Music Association, pp. 282-285, 2005.

    Popovici, M., “Melodic intonation therapy in the verbal decoding of aphasics,” Romanian Journal of Neurology and Psychiatry, vol. 33, pp. 57–97, 1995.

    Paul, S., and Ramsey, D., “The effects of electronic music making as a therapeutic activity in improving upper extremity active range of motion,” Occupational Therapy International, vol. 5, pp. 223–237, 1998.

    Rose, F. D., & Johnson, D. A., Brain injury and after: Towards improved outcome, 1996.

    Sarkamo, T., Tervaniemi, M., Laitinen, S., Forsblom, A., Soinila, S., Mikkonen, M., Autti, T., Silvennoinen, H. M., Erkkila, J., Laine, M., Peretz, I., and Hietanen, M., “Music listening enhances cognitive recovery and mood after middle cerebral artery stroke,” Brain, vol. 131, pp. 866-876, March 2008.

    van den Hoogen, W., Ijsselsteijn, W., and de Kort, Y., “Yes Wii can! Using digital games as a rehabilitation platform after stroke - The role of social support,”Virtual Rehabilitation International Conference, no. 5174233, pp.195, 2009.

    Wah Ng, C., Ranaganath, S., “Real-Time gesture recognition system and application,” Image and Vision Computing, vol. 20, pp. 993-1007, 2002.

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