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3D body scanning

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40: 20: 124:. This in part due to the lack of ergonomic theory relating to how to identify key landmarks on the body morphology. The suitability of 3D body scanning is also context dependent as the measurements taken and the precision of the machine are highly relative to the task in hand rather than being an absolute. Additionally, a key limitation of 3D body scanning has been the upfront cost of the equipment and the required skills by which to collect data and apply it to scientific and technical fields. However, the utilization of depth cameras on recent smartphones helps reduce the cost of 3D scans. One example of this is the recent free face scan app available on the Apple App Store. For detailed investigation of the changes of the body dimensions a high speed (4D) scanning systems were developed by 261: 258: 59:, 3D depth sensing, stereoscopic vision and others for ergonomic and anthropometric investigation of the human form as a point-cloud. The technology and practice within research has found 3D body scanning measurement extraction methodologies to be comparable to traditional anthropometric measurement techniques. 162:
The standard scanning protocol, however, produces no measurements that fail to meet the precision of manual measurement methods or ISO 20685:2010 tolerances. But through consecutive scanning and a free algorithm called GRYPHON, 97.5% of measurements meet ISO 20685:2010; a precision increase of 327%.
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Although the process has been established for a considerable amount of time with international conferences held annually for industry and academics (e.g. the International Conference and Exhibition on 3D Body Scanning Technologies), the protocol and process of how to scan individuals is yet to be
455: 248:", in D'Apuzzo, N. (Ed.), Proceedings of 3DBODY.TECH 2017 – 8th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Montreal QC, Canada, 11–12 Oct. 2017, Hometrica Consulting – Dr. Nicola D'Apuzzo, Ascona, Switzerland, pp. 298–305. 159:
universally formalised. However, earlier research has proposed a standardised protocol of body scanning based on research and practice that demonstrates how non-standardised protocol and posture significantly influences body measurements; including the hip.
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However, despite the potential for the technology to have an impact in made-to-measure and mass customisation of items with ergonomic properties, 3D body scanning has yet to reach an early adopter or early majority stage of
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Gill, Simeon; Hayes, S; Parker, Christopher J. (2016). "3D Body Scanning: Towards Shared Protocols for Data Collection- Addressing the needs of the body scanning community for ensuring comparable data collection".
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Bougourd, J.P., Dekker, L., Grant Ross, P. and Ward, J.P. (2000), 'A Comparison of Women's Sizing by 3D Electronic Scanning and Traditional Anthropometry', Journal of The Textile Institute, Vol. 91 No. 2, pp.
144:, but the analysis and application of this data seems to be challenging. Main worldwide events for scientific exchange in the area of 3D and 4D body scanning are the annual 921:
Proceedings of 3DBODY.TECH 2022 - 13th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Lugano, Switzerland, 25-26 October 2022
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Proceedings of 3DBODY.TECH 2022 - 13th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Lugano, Switzerland, 25-26 October 2022
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Proceedings of 3DBODY.TECH 2017 - 8th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Montreal QC, Canada, 11-12 Oct. 2017
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Proceedings of 3DBODY.TECH 2017 - 8th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Montreal QC, Canada, 11-12 Oct. 2017
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Gill, Simeon; Ahmed, Maryam; Parker, Christopher J.; Hayes, Steven G. (2017). "Not All Body Scanning Measurements Are Valid: Perspectives from Pattern Practice".
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Mckinnon, L. and Istook, C. L. (2002), "Body scanning: The effects of subject respiration and foot positioning on the data integrity of scanned measurements",
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Chi, L. and Kennon, R. (2006), 'Body scanning of dynamic posture', International Journal of Clothing Science and Technology, Vol. 18 No. 3, pp. 166–178.
132:). Scanning of moving humans with clothing at high resolution (usually 10–60 Hz) is technically possible, as reported multiple times by Chris 225: 349:
Stewart, A.; Ledingham, R.; Williams, H. (2017). "Variability in body size and shape of UK offshore workers: A cluster analysis approach".
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Choi, S.; Ashdown, S. P. (2011). "3D body scan analysis of dimensional change in lower body measurements for active body positions".
513:. 3DBODY.TECH 2017 – 8th International Conference and Exhibition on 3D Body Scanning and Processing Technologies. pp. 298–305. 476:. 3DBODY.TECH 2017 – 8th International Conference and Exhibition on 3D Body Scanning and Processing Technologies. pp. 43–52. 19: 917:"Method for Automatic Analysis of the Clothing Related Body Dimension Changes During Motion Using High-Speed (4D) Body Scanning" 622:"Method for Automatic Analysis of the Clothing Related Body Dimension Changes During Motion Using High-Speed (4D) Body Scanning" 296: 938: 725: 643: 593: 668: 731: 67:
While the technology is still developing in its application, the technology has regularly been applied in the areas of:
845: 526: 489: 454:. 5th International Conference and Exhibition on 3D Body Scanning Technologies. Lugano, Switzerland. pp. 55–65. 268:', Journal of Fashion Marketing and Management: An International Journal, MCB UP Ltd, Vol. 7 No. 3, pp. 306–332. 259:
Body measurement techniques: Comparing 3D body-scanning and anthropometric methods for apparel applications
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The True Height of the Waist: Explorations of automated body scanner waist definitions of the TC2 scanner
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Parker, Christopher J.; Gill, Simeon; Harwood, Adrian; Hayes, Steven G.; Ahmed, Maryam (19 May 2021).
554: 507:"3D Body Scanning has Suitable Reliability: An Anthropometric Investigation for Garment Construction" 771:"Scan posture definition and hip girth measurement: the impact on clothing design and body scanning" 578:
Proc. of 3DBODY.TECH 2021 - 12th Int. Conf. and Exh. on 3D Body Scanning and Processing Technologies
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Gill, S. (2015). "A review of research and innovation in garment sizing, prototyping and fitting".
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3D Body Scanning has Suitable Reliability: An Anthropometric Investigation for Garment Construction
149: 72: 137: 978: 319: 916: 621: 506: 320:"The Naked Labs smart mirror scanned our nearly naked bodies and we don't know what to think" 988: 133: 121: 8: 983: 968: 219: 104: 868:"A Method for Increasing 3D Body Scanning's Precision: Gryphon and Consecutive Scanning" 573: 944: 798: 649: 599: 203: 706:
Proceedings of the 6th International Workshop of Advanced Manufacturing and Automation
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Kyosev, Yordan; Tomanova, Vanda; Schmidt, Ann-Malin (25 October 2022).
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Kyosev, Yordan; Tomanova, Vanda; Schmidt, Ann-Malin (25 October 2022).
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Gill, S.; Parker, C. J.; Hayes, S.; Wren, P.; Panchenko, A. (2014).
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from 2D pictures of patrons taken at its Fantasitron photo booth.
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Parker, Christopher J.; Gill, Simeon; Hayes, Steven G. (2017).
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using gypsum-based printing, from models reconstructed by
222: – Topic in computer science and language technology 348: 865: 555:"3D Face Scanner iOS App Collecting Data for Research" 914: 619: 574:"4D Scanning of Clothed Humans - Preliminary Results" 471: 125: 447: 669:"The dynamic relation between humans and clothing" 55:is an application of various technologies such as 960: 244:Parker, C.J., Gill, S. and Hayes, S.G. (2017), " 701: 572:Kuehn, Tino; Kyosev, Yordan (19 October 2021). 504: 769:Gill, Simeon; Parker, Christopher J. (2017). 628:. Lugano, Switzerland: Hometrica Consulting. 128:and Instituto de Biomemechanics de Valencia ( 666: 757:Journal of Fashion Marketing and Management 571: 393: 77:Fashion design (e.g. garments, accessories) 768: 209:Mirrorsize- 3D Body Measurement Technology 95:evaluation (i.e. for weight-loss purposes) 928: 883: 633: 370: 148:and Clothing-Body-Interaction conference 257:Simmons, K.P. and Istook, C.L. (2003), ' 115:Comparison of changes in body positions 38: 18: 461:from the original on 28 September 2018. 16:Measurment of the body as a point cloud 961: 615: 613: 809:from the original on 22 October 2020 737:from the original on 7 November 2017 667:O'Mahony, Marie (9 September 2021). 420: 330:from the original on 26 January 2021 299:from the original on 3 February 2017 153: 13: 610: 535:from the original on 30 April 2018 14: 1000: 317: 848:from the original on 2 July 2021 908: 859: 832: 821: 762: 749: 695: 686: 660: 565: 547: 498: 465: 62: 441: 414: 387: 342: 311: 281: 271: 251: 238: 43:Fantasitron 3D photo booth at 1: 885:10.1080/00140139.2021.1931473 787:10.1080/00140139.2016.1251621 435:10.1080/00405167.2015.1023512 289:"List of Papers - 3DBST 2016" 231: 759:, Vol. 6 No. 2, pp. 103–121. 363:10.1016/j.apergo.2016.07.001 7: 166: 57:structured-light 3D scanner 10: 1005: 264:28 September 2018 at the 27:in 1:20 scale printed by 718:10.2991/iwama-16.2016.53 408:10.1177/0040517510377822 396:Textile Research Journal 673:Innovation in Textiles 293:www.3dbodyscanning.org 182:is equipment used for 146:3DBody.Tech Conference 47: 36: 841:UoMResearchIT/Gryphon 42: 22: 712:. pp. 281–284. 122:innovation diffusion 71:Adapted performance 220:Gesture recognition 105:3D body measurement 351:Applied Ergonomics 204:multi-camera setup 48: 37: 940:978-3-033-09520-5 727:978-94-6252-243-5 645:978-3-033-09520-5 595:978-3-033-08853-5 154:Scanning protocol 996: 953: 952: 932: 912: 906: 905: 887: 863: 857: 856: 855: 853: 836: 830: 825: 819: 818: 816: 814: 781:(8): 1123–1136. 766: 760: 753: 747: 746: 744: 742: 736: 711: 699: 693: 690: 684: 683: 681: 679: 664: 658: 657: 637: 617: 608: 607: 569: 563: 562: 551: 545: 544: 542: 540: 502: 496: 495: 469: 463: 462: 460: 445: 439: 438: 423:Textile Progress 418: 412: 411: 391: 385: 384: 374: 346: 340: 339: 337: 335: 315: 309: 308: 306: 304: 285: 279: 275: 269: 255: 249: 242: 200:structured light 101:body measurement 53:3D body scanning 1004: 1003: 999: 998: 997: 995: 994: 993: 974:Computer vision 959: 958: 957: 956: 941: 913: 909: 864: 860: 851: 849: 838: 837: 833: 826: 822: 812: 810: 767: 763: 754: 750: 740: 738: 734: 728: 709: 700: 696: 691: 687: 677: 675: 665: 661: 646: 618: 611: 596: 570: 566: 553: 552: 548: 538: 536: 529: 519:10.15221/17.298 503: 499: 492: 482:10.15221/17.043 470: 466: 458: 446: 442: 419: 415: 392: 388: 347: 343: 333: 331: 316: 312: 302: 300: 287: 286: 282: 276: 272: 266:Wayback Machine 256: 252: 243: 239: 234: 214:Finger tracking 169: 156: 65: 17: 12: 11: 5: 1002: 992: 991: 986: 981: 976: 971: 955: 954: 939: 930:10.15221/22.24 907: 858: 831: 828:ISO 20685:2010 820: 761: 748: 726: 694: 685: 659: 644: 635:10.15221/22.24 609: 594: 586:10.15221/21.25 564: 559:apps.apple.com 546: 527: 497: 490: 464: 440: 413: 386: 357:(1): 265–272. 341: 310: 280: 270: 250: 236: 235: 233: 230: 229: 228: 223: 217: 211: 206: 196:motion capture 176: 168: 165: 155: 152: 117: 116: 113: 112:classification 107: 102: 96: 89: 78: 75: 64: 61: 15: 9: 6: 4: 3: 2: 1001: 990: 987: 985: 982: 980: 979:Anthropometry 977: 975: 972: 970: 967: 966: 964: 950: 946: 942: 936: 931: 926: 922: 918: 911: 903: 899: 895: 891: 886: 881: 877: 873: 869: 862: 847: 843: 842: 835: 829: 824: 808: 804: 800: 796: 792: 788: 784: 780: 776: 772: 765: 758: 752: 733: 729: 723: 719: 715: 708: 707: 698: 689: 674: 670: 663: 655: 651: 647: 641: 636: 631: 627: 623: 616: 614: 605: 601: 597: 591: 587: 583: 579: 575: 568: 560: 556: 550: 534: 530: 528:9783033064362 524: 520: 516: 512: 508: 501: 493: 491:9783033064362 487: 483: 479: 475: 468: 457: 453: 452: 444: 436: 432: 428: 424: 417: 409: 405: 401: 397: 390: 382: 378: 373: 368: 364: 360: 356: 352: 345: 329: 325: 321: 314: 298: 294: 290: 284: 274: 267: 263: 260: 254: 247: 241: 237: 227: 224: 221: 218: 215: 212: 210: 207: 205: 201: 197: 193: 189: 185: 181: 177: 174: 171: 170: 164: 160: 151: 150: 147: 143: 142:Yordan Kyosev 139: 135: 131: 127: 123: 114: 111: 108: 106: 103: 100: 97: 94: 90: 87: 83: 79: 76: 74: 70: 69: 68: 60: 58: 54: 50: 46: 41: 34: 30: 26: 21: 920: 910: 878:(1): 39–59. 875: 871: 861: 850:, retrieved 840: 834: 823: 813:16 September 811:. 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Retrieved 292: 283: 273: 253: 240: 161: 157: 118: 93:morphometric 66: 63:Applications 52: 51: 49: 989:Measurement 429:(1): 1–85. 318:Crist, Ry. 226:4D scanning 198:often with 192:reflectance 180:light stage 173:3D scanning 80:3D printed 984:Ergonomics 969:3D imaging 963:Categories 872:Ergonomics 775:Ergonomics 741:5 November 678:21 January 372:10059/1591 303:2 February 232:References 136:, Alfredo 110:Body shape 86:3D selfies 73:sportswear 949:252706138 894:0014-0139 654:252706138 604:245761193 138:Ballester 99:Ergonomic 82:figurines 45:Madurodam 33:Madurodam 29:Shapeways 25:3D selfie 902:34006206 846:archived 807:Archived 803:23758581 795:27764997 732:Archived 539:30 April 533:Archived 456:Archived 381:27633221 328:Archived 297:Archived 278:163–173. 262:Archived 167:See also 188:texture 947:  937:  900:  892:  852:19 May 801:  793:  724:  652:  642:  602:  592:  525:  488:  379:  202:and a 945:S2CID 799:S2CID 735:(PDF) 710:(PDF) 650:S2CID 600:S2CID 459:(PDF) 184:shape 935:ISBN 898:PMID 890:ISSN 854:2021 815:2021 791:PMID 743:2017 722:ISBN 680:2023 640:ISBN 590:ISBN 541:2018 523:ISBN 486:ISBN 377:PMID 336:2021 324:CNET 305:2017 194:and 140:and 134:Lane 126:3dMD 925:doi 880:doi 783:doi 714:doi 630:doi 582:doi 515:doi 478:doi 431:doi 404:doi 367:hdl 359:doi 130:IBV 91:3D 965:: 943:. 933:. 919:. 896:. 888:. 876:65 874:. 870:. 805:. 797:. 789:. 779:60 777:. 773:. 730:. 720:. 671:. 648:. 638:. 624:. 612:^ 598:. 588:. 580:. 576:. 557:. 531:. 521:. 509:. 484:. 427:47 425:. 400:81 398:. 375:. 365:. 355:58 353:. 326:. 322:. 295:. 291:. 190:, 186:, 178:A 23:A 951:. 927:: 904:. 882:: 817:. 785:: 745:. 716:: 682:. 656:. 632:: 606:. 584:: 561:. 543:. 517:: 494:. 480:: 437:. 433:: 410:. 406:: 383:. 369:: 361:: 338:. 307:. 88:) 84:(

Index


3D selfie
Shapeways
Madurodam

Madurodam
structured-light 3D scanner
sportswear
figurines
3D selfies
morphometric
Ergonomic
3D body measurement
Body shape
innovation diffusion
3dMD
IBV
Lane
Ballester
Yordan Kyosev
3DBody.Tech Conference

3D scanning
light stage
shape
texture
reflectance
motion capture
structured light
multi-camera setup

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