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3D body scanning

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51: 31: 135:. 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 267: 264: 70:, 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. 173:
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
461: 254:", 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. 170:
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.
155:, 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 927:
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.
143:). Scanning of moving humans with clothing at high resolution (usually 10–60 Hz) is technically possible, as reported multiple times by Chris 231: 355:
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".
519:. 3DBODY.TECH 2017 – 8th International Conference and Exhibition on 3D Body Scanning and Processing Technologies. pp. 298–305. 482:. 3DBODY.TECH 2017 – 8th International Conference and Exhibition on 3D Body Scanning and Processing Technologies. pp. 43–52. 30: 923:"Method for Automatic Analysis of the Clothing Related Body Dimension Changes During Motion Using High-Speed (4D) Body Scanning" 628:"Method for Automatic Analysis of the Clothing Related Body Dimension Changes During Motion Using High-Speed (4D) Body Scanning" 302: 944: 731: 649: 599: 674: 17: 737: 78:
While the technology is still developing in its application, the technology has regularly been applied in the areas of:
851: 532: 495: 460:. 5th International Conference and Exhibition on 3D Body Scanning Technologies. Lugano, Switzerland. pp. 55–65. 274:', Journal of Fashion Marketing and Management: An International Journal, MCB UP Ltd, Vol. 7 No. 3, pp. 306–332. 265:
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).
560: 513:"3D Body Scanning has Suitable Reliability: An Anthropometric Investigation for Garment Construction" 777:"Scan posture definition and hip girth measurement: the impact on clothing design and body scanning" 584:
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
160: 83: 148: 984: 325: 922: 627: 512: 326:"The Naked Labs smart mirror scanned our nearly naked bodies and we don't know what to think" 994: 144: 132: 8: 989: 974: 225: 115: 874:"A Method for Increasing 3D Body Scanning's Precision: Gryphon and Consecutive Scanning" 579: 950: 804: 655: 605: 214: 712:
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
228: – Topic in computer science and language technology 354: 871: 561:"3D Face Scanner iOS App Collecting Data for Research" 920: 625: 580:"4D Scanning of Clothed Humans - Preliminary Results" 477: 136: 453: 675:"The dynamic relation between humans and clothing" 66:is an application of various technologies such as 966: 250:Parker, C.J., Gill, S. and Hayes, S.G. (2017), " 707: 578:Kuehn, Tino; Kyosev, Yordan (19 October 2021). 510: 775:Gill, Simeon; Parker, Christopher J. (2017). 634:. Lugano, Switzerland: Hometrica Consulting. 139:and Instituto de Biomemechanics de Valencia ( 672: 763:Journal of Fashion Marketing and Management 577: 399: 88:Fashion design (e.g. garments, accessories) 774: 106:evaluation (i.e. for weight-loss purposes) 934: 889: 639: 376: 159:and Clothing-Body-Interaction conference 263:Simmons, K.P. and Istook, C.L. (2003), ' 126:Comparison of changes in body positions 49: 29: 467:from the original on 28 September 2018. 27:Measurment of the body as a point cloud 14: 967: 621: 619: 815:from the original on 22 October 2020 743:from the original on 7 November 2017 673:O'Mahony, Marie (9 September 2021). 426: 336:from the original on 26 January 2021 305:from the original on 3 February 2017 164: 24: 616: 541:from the original on 30 April 2018 25: 1006: 323: 854:from the original on 2 July 2021 914: 865: 838: 827: 768: 755: 701: 692: 666: 571: 553: 504: 471: 73: 447: 420: 393: 348: 317: 287: 277: 257: 244: 54:Fantasitron 3D photo booth at 13: 1: 891:10.1080/00140139.2021.1931473 793:10.1080/00140139.2016.1251621 441:10.1080/00405167.2015.1023512 295:"List of Papers - 3DBST 2016" 237: 765:, Vol. 6 No. 2, pp. 103–121. 369:10.1016/j.apergo.2016.07.001 7: 177: 68:structured-light 3D scanner 10: 1011: 270:28 September 2018 at the 38:in 1:20 scale printed by 724:10.2991/iwama-16.2016.53 414:10.1177/0040517510377822 402:Textile Research Journal 679:Innovation in Textiles 299:www.3dbodyscanning.org 193:is equipment used for 157:3DBody.Tech Conference 58: 47: 847:UoMResearchIT/Gryphon 53: 33: 718:. pp. 281–284. 133:innovation diffusion 82:Adapted performance 226:Gesture recognition 116:3D body measurement 18:3D body measurement 357:Applied Ergonomics 215:multi-camera setup 59: 48: 946:978-3-033-09520-5 733:978-94-6252-243-5 651:978-3-033-09520-5 601:978-3-033-08853-5 165:Scanning protocol 16:(Redirected from 1002: 959: 958: 938: 918: 912: 911: 893: 869: 863: 862: 861: 859: 842: 836: 831: 825: 824: 822: 820: 787:(8): 1123–1136. 772: 766: 759: 753: 752: 750: 748: 742: 717: 705: 699: 696: 690: 689: 687: 685: 670: 664: 663: 643: 623: 614: 613: 575: 569: 568: 557: 551: 550: 548: 546: 508: 502: 501: 475: 469: 468: 466: 451: 445: 444: 429:Textile Progress 424: 418: 417: 397: 391: 390: 380: 352: 346: 345: 343: 341: 321: 315: 314: 312: 310: 291: 285: 281: 275: 261: 255: 248: 211:structured light 112:body measurement 64:3D body scanning 21: 1010: 1009: 1005: 1004: 1003: 1001: 1000: 999: 980:Computer vision 965: 964: 963: 962: 947: 919: 915: 870: 866: 857: 855: 844: 843: 839: 832: 828: 818: 816: 773: 769: 760: 756: 746: 744: 740: 734: 715: 706: 702: 697: 693: 683: 681: 671: 667: 652: 624: 617: 602: 576: 572: 559: 558: 554: 544: 542: 535: 525:10.15221/17.298 509: 505: 498: 488:10.15221/17.043 476: 472: 464: 452: 448: 425: 421: 398: 394: 353: 349: 339: 337: 322: 318: 308: 306: 293: 292: 288: 282: 278: 272:Wayback Machine 262: 258: 249: 245: 240: 220:Finger tracking 180: 167: 76: 28: 23: 22: 15: 12: 11: 5: 1008: 998: 997: 992: 987: 982: 977: 961: 960: 945: 936:10.15221/22.24 913: 864: 837: 834:ISO 20685:2010 826: 767: 754: 732: 700: 691: 665: 650: 641:10.15221/22.24 615: 600: 592:10.15221/21.25 570: 565:apps.apple.com 552: 533: 503: 496: 470: 446: 419: 392: 363:(1): 265–272. 347: 316: 286: 276: 256: 242: 241: 239: 236: 235: 234: 229: 223: 217: 207:motion capture 187: 179: 176: 166: 163: 128: 127: 124: 123:classification 118: 113: 107: 100: 89: 86: 75: 72: 26: 9: 6: 4: 3: 2: 1007: 996: 993: 991: 988: 986: 985:Anthropometry 983: 981: 978: 976: 973: 972: 970: 956: 952: 948: 942: 937: 932: 928: 924: 917: 909: 905: 901: 897: 892: 887: 883: 879: 875: 868: 853: 849: 848: 841: 835: 830: 814: 810: 806: 802: 798: 794: 790: 786: 782: 778: 771: 764: 758: 739: 735: 729: 725: 721: 714: 713: 704: 695: 680: 676: 669: 661: 657: 653: 647: 642: 637: 633: 629: 622: 620: 611: 607: 603: 597: 593: 589: 585: 581: 574: 566: 562: 556: 540: 536: 534:9783033064362 530: 526: 522: 518: 514: 507: 499: 497:9783033064362 493: 489: 485: 481: 474: 463: 459: 458: 450: 442: 438: 434: 430: 423: 415: 411: 407: 403: 396: 388: 384: 379: 374: 370: 366: 362: 358: 351: 335: 331: 327: 320: 304: 300: 296: 290: 280: 273: 269: 266: 260: 253: 247: 243: 233: 230: 227: 224: 221: 218: 216: 212: 208: 204: 200: 196: 192: 188: 185: 182: 181: 175: 171: 162: 161: 158: 154: 153:Yordan Kyosev 150: 146: 142: 138: 134: 125: 122: 119: 117: 114: 111: 108: 105: 101: 98: 94: 90: 87: 85: 81: 80: 79: 71: 69: 65: 61: 57: 52: 45: 41: 37: 32: 19: 926: 916: 884:(1): 39–59. 881: 877: 867: 856:, retrieved 846: 840: 829: 819:16 September 817:. 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Retrieved 298: 289: 279: 259: 246: 172: 168: 129: 104:morphometric 77: 74:Applications 63: 62: 60: 995:Measurement 435:(1): 1–85. 324:Crist, Ry. 232:4D scanning 209:often with 203:reflectance 191:light stage 184:3D scanning 91:3D printed 990:Ergonomics 975:3D imaging 969:Categories 878:Ergonomics 781:Ergonomics 747:5 November 684:21 January 378:10059/1591 309:2 February 238:References 147:, Alfredo 121:Body shape 97:3D selfies 84:sportswear 955:252706138 900:0014-0139 660:252706138 610:245761193 149:Ballester 110:Ergonomic 93:figurines 56:Madurodam 44:Madurodam 40:Shapeways 36:3D selfie 908:34006206 852:archived 813:Archived 809:23758581 801:27764997 738:Archived 545:30 April 539:Archived 462:Archived 387:27633221 334:Archived 303:Archived 284:163–173. 268:Archived 178:See also 199:texture 953:  943:  906:  898:  858:19 May 807:  799:  730:  658:  648:  608:  598:  531:  494:  385:  213:and a 951:S2CID 805:S2CID 741:(PDF) 716:(PDF) 656:S2CID 606:S2CID 465:(PDF) 195:shape 941:ISBN 904:PMID 896:ISSN 860:2021 821:2021 797:PMID 749:2017 728:ISBN 686:2023 646:ISBN 596:ISBN 547:2018 529:ISBN 492:ISBN 383:PMID 342:2021 330:CNET 311:2017 205:and 151:and 145:Lane 137:3dMD 931:doi 886:doi 789:doi 720:doi 636:doi 588:doi 521:doi 484:doi 437:doi 410:doi 373:hdl 365:doi 141:IBV 102:3D 971:: 949:. 939:. 925:. 902:. 894:. 882:65 880:. 876:. 811:. 803:. 795:. 785:60 783:. 779:. 736:. 726:. 677:. 654:. 644:. 630:. 618:^ 604:. 594:. 586:. 582:. 563:. 537:. 527:. 515:. 490:. 433:47 431:. 406:81 404:. 381:. 371:. 361:58 359:. 332:. 328:. 301:. 297:. 201:, 197:, 189:A 34:A 957:. 933:: 910:. 888:: 823:. 791:: 751:. 722:: 688:. 662:. 638:: 612:. 590:: 567:. 549:. 523:: 500:. 486:: 443:. 439:: 416:. 412:: 389:. 375:: 367:: 344:. 313:. 99:) 95:( 20:)

Index

3D body measurement

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

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