作業段階重畳型機器操作誘導
Contents
1. Camera Image Display Camera Speake Q Instructor PE Object Operator Contents of Instructions Voice Guide Eq 2 12. 0 6 0
3. 27 Electronic manual 3 5 3 4 BE
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5. 32 Metal el Glass Tube Gas N5 Magnet d 4 3 4 4 4 5 4 6 Magnet 30mm Ed 4 4 4 6 33
6. 47 FEL f EDS
7. 12 HUD WT 12 AR HUD AR H3 2 11 ART PC
8. 42 a b c 4 21 Ed 4 22 4 6 H 4 23 Manual 1 Open the lid 2 Push the yellow switch
9. E 2 2 ees SYS 1 B E 4
10. 46 5 AR
11. f nr 2 7 HMD 8 Efe Salonen BD HMD CG 9 2 8 1 Camera Capture 2 8 HMD 3D 9 10 HMD LAL HMD
12. HMD HMD HMD
13. 2 3 2 HMD HMD HMD HMD 6 7 Henderson HMD 8 X 2 7 HMD Henderson HMD HMD
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15. 21 3 AR 3 1 3 1 AR HMD AR HMD
16. AR Output Manual Movie to Display E Ou AR 5 E 2 6
17. e e e Lu 3 6 28
18. e 35 ETR 4 4 4 10 4 11 4 1 4 10 4 11 HMD Sony HMZ T2 Logicool Webcam C300 4 2 4 3 4 12 36 4 13 41 RH OS Microsoft Windows 8 1 CPU Intel Core i7 3540M 3 0GHz Memory 12 0GB X 4 23 HMZ T 2 1280x720 7 4 750 4 3 Webcam C300 130 30fps
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20. Operation guidance system with work steps superimposition Suguru Wakita Abstract People use various instruments since ancient times However many instruments in recent years become complicated according to technological development Recently there are many studies to simplify operating instructions visually using Augmented Reality AR technology Nevertheless it is left to the judgment of operators whether or not his her operations are done correctly In this study the author proposes the system that monitors the statements of target objects by attached sensors superimposes the stage of operations and operation parts on HMD and warns the operator for a mistake This time the author made the box that imitates a printer with the accelerometer to detect the inclination of the lid and the reed switches to detect paper kind and direction In the experiments the author compared the working times and the number of mistakes when the operation are finished between subjects who use paper manual and those who use the proposed system From the view point of working time two groups did not show a significant difference Compared to the number of mistakes the subjects who used paper manual ma
21. 2 X 2 11 HUD 13 HUD
22. 3 6 Object location 3 6 29 K 4 4 1 4 1 HH
23. 31 Accelerometer 4 2 4 2 2 4 3 N 8
24. E N x A SONY TET VAIO Duo 13 svpi321 din am TSE Windows 8 1
25. 2 3 5 15 2 13 PO PC PC
26. 15 Projection Image 2 14 16 CG CG 2 3 6
27. AR 3 AR GPS CG GPS m 2 15 T GPS INS Inertial Navigation System
28. Smartphone Display LI X 2 10 ll HMD CPU PC 2 3 4 HUD HUD 1960
29. FLITE BE 25 6 48 1 ii MR Vol 48 No 7 pp 2465 2476 2007 N Vol 10 No 3 pp 381 389 2005 3 SONY VAIO Duo 13 http vcl vaio sony co jp product manual svd1321 contents tp0000053341 html 2014 2 13 cs AR
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31. 14 2 13 15 16 Eq 2 14 CG
32. 2 3 3 PO Moglev ARPad 10 2 9 ARPad ARPad ARPad CG CG ARPad
33. ARToolKit 21 ARToolKit PC 2 16 18 se Input Image X gt ey ACE dieta uni Detection Virtual Image Overlay Pose and Position Estimation 2 16 ARToolKit 21
34. CG 26 3 2 3 CG ARToolKit CG RETAZ LBTI HRT S CG 3 4 CG EEZ E 2 fEXEBURDIZ Rd LIL TTYTHTY Fe LE See SS Drie uu au X 3 4 CG EEZ I ZHIENR OZR 3 3 3 5
35. 0 CG 1 0 0 0 1 0 0 0 0 1 0 85 0 0 1 0 Mo 4 3 0 0 1 125 0 1 0 0 0 0 0 0 0 0 01 1 0 0 240 1 0 0 0 0 1 0 85 0 0 1 0 Mo2 4 4 0 0 1 125 0 1 0 0 0 0 0 0 0 0 01 1 0 0 175 1 0 0 0 0 1 0 55 0 0 1 0 Mos 4 5 0 0 1 100 0 1 0 0 0 0 0 0 0 0 01 39 4 18 AR mm 40 4 5 4 19 CE b c e d 4 19 41 x 4 20 4 21
36. 14 2 12 HUD HUD lt 13 2 12 HUD 14 HUD
37. ARPad B 2 9 ARPad 10 11 2 10 11
38. Object Status Estimation by Sensor Status Status Changed Recognition Change CGs Suitably HMD Camera Position and Posture Estimation by AR Markers CGs Superposition Superposition CGs to HMD Screen 3 1 22 e E e e HMD AR e AR 3 2 ARToolKit AR 3 2 1 3 2
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40. j HF EDR AR H ff 1 1 Head Mounted Display HMD IDDIEN METIA H
41. CG EER E 2 2 1 2 1
42. HUD CG HaWATA HM S14 jl 2 4 1 GPS Global Positioning System 17 20
43. Augmented Reality AR CG HMD Screen Appliance 1 1 AR AR Virtual Reality VR VR AR
44. 0 2 1 4 7 4 8 4 7 4 8 34 4 3 Xl 4 9 Close the hd 1 0pen the lid Remove the paperA OK Put the paperA retrorse ba 4 9 v E OK Push the switch1 4 Push the switch2 ui Lu 5 Close the lid Push the switch2 ly or put the paperB
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49. Reconstructed feature patches Matched features in the live image Teapot registration based on computed pose Ed 2 17 30 32 33 23 2 18 CAD Computer Aided Design 2 19 20 2 18 CAD 32 2 19
50. Vol 110 No 28 pp 1 6 2010 5 J Ou Xilin S R Fussell and J Yang Dove Drawing over video environment Proc MM 03 pp 100 101 2003 6 PC No 4 pp 193 196 2005 1 i5 Vol 74 7 A J Davison Real time simultaneous localisation and mapping with a single camera In Proceedings of the Ninth IEEE International Conference on Computer Vision Vol 2 pp 1403 1410 2003 8 S J Henderson and S Feiner Evaluating the benefits of augmented reality for task localization in maintenance of an armored personnel carrier turret In Proceedings of the 6th IEEE International Symposium on Mixed and Augmented Reality pp 135 144 2009 E S Tapio and S Juha Dynamic visual assembly instruction for configurable products using augmented reality techniques Advanced Design and Manufacture to Gain a Competitive Edge pp 23 32 2008 49 10 D Mogilev K Kiyokawa M Billinghurst and J Pair AR Pad An interface for face to face ar collaboration In CHI 02 Extended Abstracts on Human Factors in Computing Systems pp 654 655 2002 11 2013
51. 12 hud pp 65 72 1989 13 Vol 3 No 3 pp 185 191 1998 pum DS 2012 yum e J Rekimoto and M Saitoh Augmented surfaces A spatially continuous work space for hybrid computing environments In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems pp 378 385 1999 16 3 Vol 7 No 2 pp 169 176 2002 17 T Hollerer J V Pavlik and S Feiner Situated documentaries Embedding multi media presentations in the real world pp 79 86 1999
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54. 18 RTK GPS Vol 104 No 572 pp 37 42 2005 19 R Tenmoku M Kanbara and N Yokoya A wearable augmented reality system using positioning infrastructures and a pedometer pp 110 117 2003 Ww e C Randell C Djiallis and H Muller Personal position measurement using dead reckoning In Proceedings of The Seventh International Symposium on Wearable Com puters pp 166 173 2003 21 H Kato and M Billinghurst Marker tracking and hmd calibration for a video based augmented reality conferencing system In Proceedings of the 2Nd IEEE and ACM International Workshop on Augmented Reality pp 85 94 1999 22 PC Vol 103 No 640 pp 77 82 2004 50 23 H Wuest F Vial and D Stricker Adaptive line tracking with multiple hypotheses for augmented reality In Proceedings of the 4th IEEE ACM International Symposium on Mixed and Augmented Reality pp 62 69 2005 24 Ge
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63. 2013 2014 2 18 dini ES Augmented Reality AR AR
64. 180 183 2005 oC um I Skrypnyk and D G Lowe Scene modelling recognition and tracking with invariant image features In ISMAR 2004 32 T Drummond IEEE Computer Society and Roberto Cipolla Real time visual track ing of complex structures IEEE Transactions om Pattern Analysis and Machine Intelligence Vol 24 pp 932 946 2002 33 V Lepetit and P Fua Monocular model based 3d tracking of rigid objects A survey In Foundations and Trends in Computer Graphics and Vision pp 1 89 2005 51
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67. Scale Invariant Feature Trans form 27 SURF Speeded Up Robust Features 28 WDE Skrypnyk E 29 30 19 31 2 17
68. ay HUD Head Up Display v 2 3 2 4 Head Mounted Display Projector Hand Held Display Desktop Display Head Up Display Projector 2 3 Camera HMD Screen Desktop Display a DDS Head Up Display Handheld Device c d HUD Projector Projector e 2 4 2 3 1
69. de 0 6 mistakes averagely and the subjects who used this proposed system made no mistake Keywords Augmented Reality AR Operating Instruction Accelerometer Reed Switch 1 2 Svp REENT eund mg Pee Re An Bel EE ER ER en E 29 oe oo 2 3 24 AR 25 pP ACID MEC 3 Sk S MEET AN SA SU ee Aen EIN OEE 32 E RAPETE rane rk ca TRAN ERES TREPIDUS RM d pede Ve Vor Ka quu gu E dos E ud 3 EV Oh IUE ok usus Rer See erae Aven ER 4 D 0 NECEM det de ae LENDER 2 9 SERE BR HB eos a ilie n tent ah m AAA sam Sew ine ae hay Soe hA epum 2 D ME c0 ur PEL DENM AT PO AP AG UE SEDE ucesvun Sok step To tesa edes dere NP FACE A ae ace cms 4 6 uae ars rcr ICE MM I p 5 Bas 30 30 31 35 36 41 46 47 48 49 1 1 2 1 2 2 2 3 2 4 2 5 2 6 2 7 2 8 2 9 2 10 2 11 2 12
70. org K and David M Parallel tracking and mapping for small AR workspaces In Proc Sizth IEEE and ACM International Symposium on Mixed and Augmented Reality November 2007 25 REM Vol 107 No 242 pp 73 78 2007 26 C Harris and M Stephens A combined corner and edge detector In Proc of Fourth Alvey Vision Conference pp 147 151 1988 27 D G Lowe Distinctive image features from scale invariant keypoints Int J Comput Vision Vol 60 No 2 pp 91 110 2004 28 H Bay A Ess T Tuytelaars and L Van Gool Speeded up robust features SURF Comput Vis Image Underst Vol 110 No 3 pp 346 359 2008 29 Y Genc S Riedel F Souvannavong C Akinlar and N Navab Marker less tracking for ar A learning based approach In Proceedings of the 1st International Symposium on Mixed and Augmented Reality pp 295 304 2002 30 R Bastos and J Miguel S Dias Fully automated texture tracking based on natural features extraction and template matching In Proceedings of the 2005 ACM SIGCHI International Conference on Advances in Computer Entertainment Technology pp
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