Assessment of a Microsoft Kinect-based 3D scanning system for taking body segment girth measurements: a comparison to ISAK and ISO standards

ABSTRACT Use of anthropometric data to infer sporting performance is increasing in popularity, particularly within elite sport programmes. Measurement typically follows standards set by the International Society for the Advancement of Kinanthropometry (ISAK). However, such techniques are time consuming, which reduces their practicality. Schranz et al. recently suggested 3D body scanners could replace current measurement techniques; however, current systems are costly. Recent interest in natural user interaction has led to a range of low-cost depth cameras capable of producing 3D body scans, from which anthropometrics can be calculated. A scanning system comprising 4 depth cameras was used to scan 4 cylinders, representative of the body segments. Girth measurements were calculated from the 3D scans and compared to gold standard measurements. Requirements of a Level 1 ISAK practitioner were met in all 4 cylinders, and ISO standards for scan-derived girth measurements were met in the 2 larger cylinders only. A fixed measurement bias was identified that could be corrected with a simple offset factor. Further work is required to determine comparable performance across a wider range of measurements performed upon living participants. Nevertheless, findings of the study suggest such a system offers many advantages over current techniques, having a range of potential applications.

[1]  Fabio Menna,et al.  Geometric investigation of a gaming active device , 2011, Optical Metrology.

[2]  D. Jenkins,et al.  Anthropometric-based selection and sprint kayak training in children. , 1998, Journal of sports sciences.

[3]  Tim Olds,et al.  Is three-dimensional anthropometric analysis as good as traditional anthropometric analysis in predicting junior rowing performance? , 2012, Journal of sports sciences.

[4]  R. Malina,et al.  Kinanthropometric Research in Human Auxology , 1984 .

[5]  Dana H. Ballard,et al.  Generalizing the Hough transform to detect arbitrary shapes , 1981, Pattern Recognit..

[6]  T. Reilly,et al.  Anthropometric and physiological predispositions for elite soccer , 2000, Journal of sports sciences.

[7]  Nathan Daniell,et al.  Three-dimensional anthropometric analysis: Differences between elite Australian rowers and the general population , 2010, Journal of sports sciences.

[8]  Jon Wheat,et al.  Assessing the Suitability of the Microsoft Kinect for Calculating Person Specific Body Segment Parameters , 2014, ECCV Workshops.

[9]  Jonathan Wheat,et al.  Distortion Correction of Depth Data from Consumer Depth Cameras , 2013 .

[10]  J. Weiner,et al.  Human biology: A guide to field methods; , 1969 .

[11]  Ben Heller,et al.  Calculating body segment inertia parameters from a single rapid scan using the Microsoft Kinect , 2012 .

[12]  J S Wheat,et al.  Development and assessment of a Microsoft Kinect based system for imaging the breast in three dimensions. , 2014, Medical engineering & physics.

[13]  Ross Wd,et al.  A stratagem for proportional growth assessment. , 1974 .

[14]  T. M. Graber,et al.  Origins of the Study of Human Growth , 1981 .

[15]  Stijn Matthys,et al.  Anthropometric and performance measures for the development of a talent detection and identification model in youth handball , 2009, Journal of sports sciences.

[16]  David T. Martin,et al.  Talent identification and deliberate programming in skeleton: Ice novice to Winter Olympian in 14 months , 2009, Journal of sports sciences.

[17]  A. Pienaar,et al.  Identifying and developing rugby talent among 10-year-old boys: a practical model. , 1998, Journal of sports sciences.

[18]  Jonathan Wheat,et al.  Obtaining body segment inertia parameters using structured light scanning with Microsoft Kinect , 2011 .

[19]  Jan Boehm,et al.  Accuracy investigation for natural user interface sensors , 2011 .

[20]  Talita Adão Perini,et al.  Cálculo do erro técnico de medição em antropometria Cálculo del error técnico en la medición de antropometria Technical error of measurement in anthropometry , 2005 .

[21]  D. G. Hoare,et al.  Talent identification and women's soccer: An Australian experience , 2000, Journal of sports sciences.

[22]  Andrew W. Fitzgibbon,et al.  Real-time human pose recognition in parts from single depth images , 2011, CVPR 2011.

[23]  A. Williams,et al.  Talent identification and development in soccer , 2000, Journal of sports sciences.

[24]  BlakeAndrew,et al.  Real-time human pose recognition in parts from single depth images , 2013 .

[25]  Motoki Kouzaki,et al.  Reduced postural sway during quiet standing by light touch is due to finger tactile feedback but not mechanical support , 2008, Experimental Brain Research.

[26]  Prospects Liubolong Improving quality. , 1990, The Psychiatric clinics of North America.

[27]  Karen Gresty,et al.  Anthropometric variables and their relationship to performance and ability in male surfers , 2014, European journal of sport science.

[28]  Andreas Seidl,et al.  SizeITALY - The Actual Italian Measurement Survey , 2012 .

[29]  Jan Boehm NATURAL USER INTERFACE SENSORS FOR HUMAN BODY MEASUREMENT , 2012 .

[30]  A Straube,et al.  Visual stabilization of posture. Physiological stimulus characteristics and clinical aspects. , 1984, Brain : a journal of neurology.

[31]  Colin White,et al.  Anthropometric assessment of Premiership soccer players in relation to playing position , 2006 .

[32]  L. Sutton,et al.  Body composition in sport, exercise and health , 2012 .

[33]  Dieter Fox,et al.  RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environments , 2012, Int. J. Robotics Res..

[34]  Kourosh Khoshelham,et al.  Accuracy analysis of kinect depth data , 2012 .

[35]  Nicolas Vuillerme,et al.  How attentional focus on body sway affects postural control during quiet standing , 2007, Psychological research.

[36]  D. Kerr,et al.  The elite athlete - assessing body shape, size, proportion and composition. , 1995, Asia Pacific journal of clinical nutrition.

[37]  W. D. Ross,et al.  A strategem for proportional growth assessment. , 1974, Acta paediatrica Belgica.

[38]  Sander Oude Elberink,et al.  Accuracy and Resolution of Kinect Depth Data for Indoor Mapping Applications , 2012, Sensors.

[39]  J Borms,et al.  Kinanthropometry: roots, developments and future. , 1990, Journal of sports sciences.

[40]  J. Challis A procedure for determining rigid body transformation parameters. , 1995, Journal of biomechanics.

[41]  Paul DiZio,et al.  Stabilization of posture by precision touch of the index finger with rigid and flexible filaments , 2001, Experimental Brain Research.

[42]  M. Marfell-Jones,et al.  International standards for anthropometric assessment. , 2012 .

[43]  Andy D. Robinson,et al.  Improving the Quality of Measurements through the Implementation of Customised Reference Artefacts , 2012 .

[44]  Robin G. Harvey,et al.  A history of the study of human growth , 1983, Medical History.

[45]  Arthur Stewart Kinanthropometry – the interdisciplinary discipline , 2007, Journal of sports sciences.