Publications

 

Below is a list of relevant publications from our group — with the most recent at the top of the list. If you are interested in a specific paper, please get in touch. We have included copies where possible.

 

Alice Bullas, Ben Heller, Simon Choppin, Jonathan Wheat (2016) The relationship between peak power and leg size in mountain bike cyclists, World Conference on Kinanthropometry and Body Composition ISAK-UADY 2016, url

Alice M Bullas, Simon Choppin, Ben Heller, Jon Wheat (2016) Validity and repeatability of a depth camera-based surface imaging system for thigh volume measurement, Journal of Sports Sciences, p. 1-7, url, doi:10.1080/02640414.2016.1149604

S.B. Choppin, J.S. Wheat, M. Gee, A. Goyal (2016) The accuracy of breast volume measurement methods: A systematic review, The Breast 28, p. 121-129, Elsevier Ltd, url, doi:10.1016/j.breast.2016.05.010

Alice M Bullas, Ben Heller, Simon B Choppin, Jon Wheat (2015) Kinanthropometry applications of depth camera based 3D scanning systems in cycling: Repeatability and agreement with manual methods, 5th International Conference on 3D Body Scanning Technologies

H Probst, S B Choppin, J S Wheat, M Harrison, A Goyal (2015) The development of a low cost 3D surface imaging system to measure breast volume: defining minimum standards using an adapted Delphi consensus study, Journal of Plastic, Reconstructive & Aesthetic Surgery

Sean Clarkson, Jon Wheat, Ben Heller, Simon Choppin (2015) Assessment of a Microsoft Kinect-based 3D scanning system for taking body segment girth measurements: a comparison to ISAK and ISO standards, Journal of Sports Sciences, p. 1-9, url, doi:10.1080/02640414.2015.1085075

S Clarkson, J S Wheat, B Heller, S B Choppin (2014) Assessing the Suitability of the Microsoft Kinect for Calculating Person Specific Body Segment Parameters, 4th IEEE Workshop on Consumer Depth Cameras for Computer Vision

S. Choppin, B. Lane, J. Wheat (2014) The accuracy of the Microsoft Kinect in joint angle measurement, Sports Technology 7(1-2), p. 98-105, doi:10.1080/19346182.2014.968165

J S Wheat, S B Choppin, A Goyal (2014) Development and Assessment of a Microsoft Kinect based system for imaging the breast in three dimensions, Medical engineering & physics

S. Choppin, J.S. Wheat, A. Goyal (2014) Using the Microsoft Kinect to measure breast volume: Thoughts and experiences, Journal of Plastic, Reconstructive and Aesthetic Surgery 67(7), p. 1007-1008, doi:10.1016/j.bjps.2014.02.025

Sean Clarkson, Jon Wheat, Ben Heller, Simon Choppin (2014) Assessing the Suitability of the Microsoft Kinect for Calculating Person Specific Body Segment Parameters, 4th IEEE Workshop on Consumer Depth Cameras for Computer Vision, European Conference on Computer Vision, Zurich, Switzerland: IEEE

S Choppin, JS Wheat, A Goyal (2014) Using the Microsoft Kinect to measure breast volume: Thoughts and experiences., Journal of plastic, reconstructive & …, url

J Wheat, B Lane, S B Choppin (2013) The accuracy of badminton player tracking using a depth camera, p. 21, pdf

S Choppin, J Wheat (2013) The potential of the Microsoft Kinect in sports analysis and biomechanics, Sports Technology(September), p. 37-41, url

J Wheat, S Choppin, A Goyal (2013) Development and Assessment of a Microsoft Kinect based system for imaging the breast in three dimensions, Medical engineering & physics

S Clarkson, J Wheat, B Heller, J Webster, S B Choppin (2013) Distortion Correction of Depth Data from Consumer Depth Cameras, 4th International Conference and Exhibition on 3D Body Scanning, N D'Apuzzo (ed.), pdf

S B Choppin, H Probst, A Goyal, S Clarkson, J Wheat (2013) Breast Volume Calculation Using a Low-Cost Scanning System, 4th International Conference and Exhibition on 3D Body Scanning Technologies, N D'Apuzzo (ed.), Long Beach, USA: Hometrica Consulting, pdf

S Clarkson, S Choppin, J Hart, B Heller, J Wheat (2012) Calculating Body Segment Inertia Parameters from a Single Rapid Scan Using the Microsoft Kinect, 3D Body Scanning(October), p. 153-163, pdf

J Wheat, J Hart, S Domone, T Outram (2011) Obtaining body segment intertia parameters using structured light scanning with Microsoft Kinect, Journal of Sports Sciences 29(sup2), p. S23-S24, Routledge, url, doi:10.1080/02640414.2011.609363