動作分析的研究範圍很廣，包括動作編輯、動作預測與動作語意控制等。本研究以MTM之標準時間做為動作描述。利用C語言作為MTM動作指令的辨識，為了方便使用者進行動作分析，進而設計此系統之執行作業平台。在研究結果方面，本研究建立一套正確、快速且自動化的動作分析系統。以此系統分析動作擷取器捕捉之組裝作業動作的3D數位資訊，使用者只需透過簡單的指令輸入，便可以由電腦將收集到的動作資料，快速進行分析，使結果得到動作序列的描述，以分析結果訂定工作時間。並利用分析結果，發現組裝動作的浪費與無效工作，進而簡化組裝動作，訂定該作業組裝順序。

The research field of movement analysis is very broad and it includes areas such as motion editing, motion prediction, and motion vocabulary control. This research uses the MTM system to define motion elements. Then, we use C Language to design the MTM motion command in order to let users to conduct motion analysis conveniently and further design the operation executing plat form. This research established a set of correct, prompt and automated motion analysis system. The 3D digital information comes from the captured motion of assembly operation. Users only need to enter simple instruction to analyze the motion information which is collected by computers. Therefore, they can get the description of motion sequence, estimate the working time. Finally, we use the analysis result to simplify the motion operation as well as standardize the method of operation.

1. 張明德，1983。MTM-1 動作時間分析作業微電腦化之設計研究，逢甲大學自
動控制工程研究所，碩士論文。
2. 盧淵源，1988。方法時間衡量系列技術，華泰書局。
3. 張高雄，1994。方法時間衡量 MTM-UAS使用手冊，佳銳管理技術顧問社，
台北。
4. 張朝舜，2000。以單台攝影機配合圓錐曲線理論發展網路3D場景中人物動作
擷取技術，元智大學工業工程研究所，碩士論文。
5. 林煒盛，2001。數位人體模型之動態分析，國立清華大學，工業工程與工程
管理研究所，碩士論文。
6. 廖啟邑，2002。透過視訊影像取得人體動作資訊，國立中央大學資訊工程研
究所，碩士論文。
7. 簡安健，2002。妊娠婦女由坐到站之能量消耗評估與足底壓力中心分析評估，
醫學工程研究所，碩士論文。
8. 劉哲綱，2003。3D人體模型之動態評估，清華大學工業程與工程管理學系，
碩士論文。
9. 陳志豪，2005。作業導向之數位人體動作產生，清華大學工業工程與工程管
理研究所，碩士論文。
10. Agarwala A., Hertzmann A., Salesin D., and Seitz S., 2004, Keyframe-based
Tracking for rotoscoping and animation, Proc. of ACM SIGGRAPH, pp.584-591.
11. Aggarwal J. K. and Cai Q., 1999, Human motion analysis: a review, Computer
Vision and Image Understanding, Vol. 73, No. 3, pp. 428-440.
12. Badler N. I., 1997, Virtual humans for animation, ergonomics, and simulation, IEEE Workshop on Non-Rigid and Articulated Motion, pp.28-36.
13. Badler N. I., Bindiganavale R., Bourne J., Palmer M., Shi J. and Schuler W., 1998, A parameterized action representation for virtual human agents , In Workshop on Embodied of Conversational Characters Lake Tahoe CA, pp.1-7.
14. Baumberg A. M. and Hogg D. C., 1994, An efficient method for contour tracking using active shape models, In Proceeding of the Workshop on Motion of No-rigid and Articulated Objects, IEEE Computer Society Press, pp.194-199.
15. Bodenheimer B., Rose C., and Cohen M.F., 1998, Verbs and adverbs: Multidimensional motion interpolation, IEEE Computer Graphics and Applications, Vol. 18, No. 5, pp.32-40.
16. Boult T. E. and Chiang M. C., 2000, Efficient super-resolution via image warping, Image and Vision Computing, Vol. 18, No. 10, pp.761-771.
17. Calvert T. W., Chapman J., and Patla A., 1982, Aspects of kinematic simulation of human moment, IEEE Computer Graphics and Applications, Vol. 2, No. 9, pp.42-50.
18. Campbell L. W. and Bobick A. F., 1995, Recognition of human body motion using phase space constraints, In Proceedings of International Conference on Computer Vision, pp.624-630.
19. Chaffin D. B., Faraway J. and Zhang X., 1999, Simulating reach motions, Proceedings of SAE Human Modeling for Design and Engineering Conference, pp.1-8.
20. Chaffin D. B., 2002, On simulating human reach motion for ergonomics analyses, Human Factors and Ergonomics in Manufacturing, Vol. 12, No. 3, pp.235-247.
21. Cvgipiu K. R., 1994, Towards model-based recognition of human movement in image sequences, Proceeding of CVGIP, Vol. 59, No. 1, pp.94 -115.
22.cFaraway J. J., Zhang X. and Chaffin D. B., 1999, Rectifying postures reconstructed from joint angles to meet constraints, Journal of Biomechanics, Vol. 32, No. 7, pp.733-736.
23. Ginsberg C. M. and Maxwell D., 1986, Graphical marionette, Proc. of the ACM SIGGRAPH/SIGART Interdisciplinary Workshop on Motion : Representation and Perception, pp.303-310.
24.cHerda L., Fua P., Plankers R., Boulic R. and Thalmann D., 2000, Skeleton-based motion capture for robust reconstruction of human motion, Proc. of Computer Animation 2000, Philadelphia, pp.77-83.
25. Hertling D. and Kessler R. M., 1996, Management of Common Musculoskeletal Disorders: Physical Therapy Principles and Methods, 3rd.
26. Hilton A., Beresford D., Gentils T., Smith R., and Sun W., 2000, Whole-body modelling of people from multi-view images to populate virtual worlds, International Journal of Computer Graphics, Vol. 16, No. 7, pp.411-436.
27.cHilton A. and Starck J., 2004, Multiple view reconstruction of people, Proceedings of the 2nd International Symposium on 3D Data Processing, Visualization, and Transmission, pp.357-364.
28. Inman V. T., Ralston H. J. and Todd F., 1982, Human Walking, William & Wilkins, Baltimore.
29. Iwasawa S., Ebihara K., Ohya J. and Morishima S., 1998, Real-time human posture estimation using monocular thermal images, Proceedings of the third International Conference on Automatic Face and Gesture Recognition, pp.492-497.
30. Kurihara K., Hoshino S., Yamane K., and Nakamura Y., 2002, Optical motion capture system with pan-tilt camera tracking and real-time data processing, Proceedings of the IEEE International Conference on Robotics and Automation Washington DC, Vol. 2 , pp. 1241 - 1248.
31. Lee P., Wei S., Zhao J., and Badler N. I., 1990, Strength guided motion, Computer Graphics, Vol. 24, No. 4, pp.253-262.
32. Lee J. and Shin S. Y., 1999 , A hierarchical approach to interactive motion editing for human-like figures, Proceedings of SIGGRAPH 99 ,pp.39-48.
33. Li L. and Liu X., 2000, Simulating human walking on special terrain: up and down slopes, Computer and Graphics, Vol. 24, No. 33, pp.453-463.
34. Liao H. C. , Lai B. Y. and Chang Y. C., 2004, SWAP: a sliding window-based action prediction algorithm for smart home, Proc.of the Chaoyang University of Technology, Vol. 9, pp.31-43.
35. Liu X., Zhuang Y., Wu Y. and Pan Y., 1999, Video based human motion capture, Proceeding of the third IEEE Workshop on Multimedia Signal Processing, pp.483-488.
38. Mahwah N. J, 2002, Handbook of human factors testing and evaluation, pp.188-19, Lawrence Erlbaum Associates.
36. Moeslund T. B. and Granum E. , 2001, A survey of computer vision-based human motion capture, Computer Vision and Image Understanding, Vol. 81, pp.231–268.
37. Mori T., Tsujioka K. and Sato T., 2001, Human-like action recognition system on whole body motion-captured file, In Proceedings of 2001 IEEE Workshop on International Conference on Intelligent Robots and Systems, Vol. 4, No. 29, pp.2066-2073.
39. Perry J., 1992, Gait analysis: Normal and pathological function, NJ: Slack
Incorporated.
40. Professional Staff Association, 1989, Rancho Los Amigos Medical Center: Observational Gait Analysis Handbook, Downey, California.
41. Pullen K. and Bregler C., 2002, Motion capture assisted animation: texturing and synthesis, Proceedings of the 29th Annual Conference on Computer Graphics and Interactive Techniques, pp.23-26.
42. Robertson B., 1988, Mike, the talking head, Computer Graphics World, Vol. 11, No. 7, pp.15-17.
43. Rodosky M. W. , Andriacchi T. P. and Andersson G. B. , 1989, The influence of chair height on lower limb mechanics during rising, J Orthop Res, Vol.7, 266-271.
44. Rourke J.O and Badler N.I., 1980 , Model-based image analysis of human motion using constraint propagation, IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 2, No. 6, pp.522-536.
45. Smith L.K., Weiss E.L., Lehmkuhl D.L., 1996, Brunnstrom’s Clinical Kinesiology, 5th.
46. Wang T. S., Shum H. Y., Xu Y. Q. and Zheng N. N., 2001, Unsupervised analysis of human gestures, In Proceedings of PCM, pp.174-188.
47. Witkin A. and Popovic Z., 1995, Motion warping, Proceedings of the 1995 Conference on SIGGRAPH, pp.105-108.
48. Wren C. R. and Pentland A. P., 1998, Dynamic models of human motion, Proceedings of the Third IEEE International Conference on Automatic face and Gesture Recognition, pp.14-16.