「hoge」

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たつぞうまるこ
9 years ago
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1 ICS-06M

1........................... 16 3.2............................ 19 3.3............................ 21 3.4................................. 22 4 25 5 38 5.

3 3

4 1.1 Labanotation CG X Y Z X Y

9................ 22 3.10................... 22 3.11..................... 23 3.12..................... 23 4.1 X........................ 25 4.2 Y........................ 26 4.3 Z........................ 26 4.4........................ 26 4.5 X.

5 4.7 Z X Y Z X Y Z X Y Z X Y Z

..................... 33 4.20...................... 33 4.21 X...................... 33 4.22 Y...................... 34 4.23 Z...................... 34 4.24...................... 34 4.25.

6 Abstract In this thesis, it proposes the dance training system for the beginner who used the motion capture system. It aims at the skirts of a mountain of the dance by using this system, and those who act about the expanding dance are promoted, and it aims at the system used for the promotion of the successor of the dance. Expert and beginner s dances were measured by using the system. An expert and a garish beginner analyzed the data referring to expert opinions..whether differed.. where and the difference searched out the obtained index. Moreover, it proposed the system that did the instruction that used the voice as a means to teach the beginner the difference by using the obtained index. 6

promotion of the successor of the dance. Expert and beginner s dances were measured by using the system.

7 [1][2] [3] 7

8 Labanotation 1.1 [4][5] Labanotation [6] 1.1 Labanotation 8

9 1.1.3 [7][8][9][10] [11][12]

10 10

11 2 2.1 LAN

12 CG 2.2 [13][14][15][16][17][18][25] 2.2 CG 12

13 2.3 [20][24][25] [19][21][22][23][25]

14 [26] 14

15 15

16 3 3.1 MotionAnalysis [27] 3.1 CMOS

17 [28] MAC3D 3.4 PC 3.3 (x, y, z) trb trc trc trc 17

18 3.4 PC PC 18

23 y y z x

24 x, y, z d x (t), d y (t), d z (t) t 1/60sec d(t) = d x (t) 2 + d y (t) 2 + d z (t) v x (t) = d x (t) d x (t 1), v y (t) = d y (t) d y (t 1), v z (t) = d z (t) d z (t 1) v(t) = d x (t) 2 + d y (t) 2 + d z (t) a x (t) = v x (t) v x (t 1), a y (t) = v y (t) v y (t 1), a z (t) = v z (t) v z (t 1) a(t) = v x (t) 2 + v y (t) 2 + v z (t) , 6 θ ω(t) = θ(t) θ(t 1) a(t) = ω(t) ω(t 1) 24

25 4 1700mm 1/60 mm 4.1 X 25

26 4.2 Y 4.3 Z

27 4.5 X 4.6 Y 4.7 Z 27

28 4.8 28

29 mm/s 4.9 X 4.10 Y 29

30 4.11 Z X 30

31 4.14 Y 4.15 Z

32 mm/s X 4.18 Y 32

33 4.19 Z X 33

34 4.22 Y 4.23 Z

35 rad 4.25 rad/s

36 rad/s mm

37 37

39 39

40 [1] K. Ikeuchi, K. Hasegawa, A. Nakazawa, J. Takamatsu, T. Oishi and T. Masuda : Bayon Digital Archival Project, In Proceedings of the Tenth International Conference on Virtual System and Multimedia, pages (November 2004) [2] K. Ikeuchi, A. Nakazawa, K. Hasegawa, T. Ohishi : The Great Buddha Project: Modeling Cultural Heritage for VR Systems through Observation, The second IEEE and ACM International Symposium on Mixed and Augmented Reality (IS- MAR2003) (October 2003) [3] JST CREST [4] Toshiro Matsumoto, Kozaburo Hachimura and Minako Nakamura : Generating Labanotation from Motion-captured Human Body Motion Data, Proc. International Workshop on Recreating the Past - Visualization and Animation of Cultural Heritage -, pp (2001) [5] Kazuya Kojima, Kozaburo Hachimura and Minako Nakamura : LabanEditor: Graphical Editor for Dance Notation, Proc. IEEE ROMAN 2002 Workshop, pp (2002) [6] [7] :, (2001) [8] : pp (2003) [9] : 2004-CH-61 pp (2004) [10] : 40

41 27 pp (2004) [11] : CVIM137-13, pp (2003) [12] : DP (MIRU2004) I - pp (2004) [13] : SI2001 pp (2001) [14] T.Murakami, A.Nakamura, and Y.Kuno : Generation of Digital Contents for Traditional Dances by Integrating Appearance and Motion Data, Proc. the 2nd IASTED International Conf. Visualization, Imaging and Image Processing (VIIP 2002), pp (2002) [15] : (SI2002) pp (2002) [16] : (2003-CVIM-137) pp (March 27-28, 2003) [17] (FIT 2003) pp /cd-rom I-095 (September 10-12, 2003) [18] : 32 /CO-ROM 1A35.pdf (September 15-17, 2004) [19] : 22 /CD-ROM 1A36.pdf (September 15-17, 2004) [20] : 21 COE 2004 (October 15-16, 2004) 41

42 [21] Yoshinori Kuno, Akio Nakamura, Tomokazu Murakami, Tomoyuki Niwayama, and Sou Tabata, MOtion Analysis of Dances and its Applications, Proceedings of the International Symposium on the CREST Digital Archiving Project, pp , Tokyo, Japan (May 23-24, 2003) [22] Tomoyuki Niwayama, Akio Nakamura, Sou Tabata, and Yoshinori Kuno : Mobile Robot System for Easy Dance Training, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and System (IROS 2004), pp /cd-rom IROS pdf, Sendai International Center, Sendai, Japan (September 28 - October 2, 2004) [23] Akio Nakamura, Tomoyuki Niwayama, Sou Tabata, and Yoshinori Kuno : Development of a Basic Dance Training System with Mobile Robots, Proceedings of the 13th IEEE International Workshop on Robot and Human Interactive Communication (RO-MAN 2004), /CO-ROM 036.pdf, Kurashiki, Okayama, Japan (Septermber 20-22, 2004) [24] Sou Tabata, Akio Nakamura, and Yoshinori Kuno : Development of an Easy Dance Teaching System Using Active Devices, Proceeding of the IASTED International Conference on Adavances in Computer Science and Teechnology (ACST 2004), pp.38-43/cd-rom pdf, St.Thomas, US Virgin Island (November ) [25] Akio Nakamura, Sou Tabata, Tomoya Ueda, Shinichiro Kiyofuji, and Yoshinori Kuno : Dance Training System with Active Vibro-Devices and a Mobile Image Display, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IRO S2005), p /cd-rom, (August 2005) [26] 2002 pp [27] Motion Analysis Corporation, [28], 42

Vol. 23 No. 4 Oct. 2006 37 2 Kitchen of the Future 1 Kitchen of the Future 1 1 Kitchen of the Future LCD [7], [8] (Kitchen of the Future ) WWW [7], [3

Vol. 23 No. 4 Oct. 2006 37 2 Kitchen of the Future 1 Kitchen of the Future 1 1 Kitchen of the Future LCD [7], [8] (Kitchen of the Future ) WWW [7], [3 36 Kitchen of the Future: Kitchen of the Future Kitchen of the Future A kitchen is a place of food production, education, and communication. As it is more active place than other parts of a house, there