The importance of complex anthropometrics in the assessment of cyclists

Bullas, Alice

doi:10.7190/shu-thesis-00065

Cited by 2 publications

(6 citation statements)

References 166 publications

(307 reference statements)

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“…According to previous studies, 30,35 the error in point cloud distances might cause in excess of 10 times this error in anthropometric measurements. For example, the nominal accuracy (point-to-point difference) of 3dMD is around 0.2 mm, 30 but the error in anthropometric measurement could be as high as 2.0 mm.…”

Section: Discussionmentioning

confidence: 92%

“…For example, the nominal accuracy (point-to-point difference) of 3dMD is around 0.2 mm, 30 but the error in anthropometric measurement could be as high as 2.0 mm. 35 Thus, the observed difference in accuracy between the Microsoft Kinect V2 and Realsense D435 (around 2.0 mm for the cases with the best accuracy) could cause 2.0 cm of variation in girth measurements. Information fusion techniques 36–38 are powerful solutions for decreasing the effect of noise, uncertainty, and external disturbance and could be applied to improve the camera pose estimation and 3D reconstruction results if improved accuracy was required in the future applications.…”

Section: Discussionmentioning

confidence: 99%

“…] According to previous studies 30,35 , the error in point cloud distances might cause in excess of 10 times this error in anthropometric measurements. For example, the nominal accuracy (point-to-point difference) of 3dMD is around 0.2 mm 30 , but the error in anthropometric measurement could be as high as 2.0 mm 35 . Thus, the observed difference in accuracy between the Microsoft Kinect V2 and Realsense D435 (around 2.0 mm for the cases with the best accuracy) could cause 2.0 cm of variation in girth measurements.…”

Section: Discussionmentioning

confidence: 99%

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Comparison of depth cameras for three-dimensional reconstruction in medicine

Chiu

Thelwell

Senior

et al. 2019

Proc Inst Mech Eng H

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KinectFusion is a typical three-dimensional reconstruction technique which enables generation of individual three-dimensional human models from consumer depth cameras for understanding body shapes. The aim of this study was to compare three-dimensional reconstruction results obtained using KinectFusion from data collected with two different types of depth camera (time-of-flight and stereoscopic cameras) and compare these results with those of a commercial three-dimensional scanning system to determine which type of depth camera gives improved reconstruction. Torso mannequins and machined aluminium cylinders were used as the test objects for this study. Two depth cameras, Microsoft Kinect V2 and Intel Realsense D435, were selected as the representatives of time-of-flight and stereoscopic cameras, respectively, to capture scan data for the reconstruction of three-dimensional point clouds by KinectFusion techniques. The results showed that both time-of-flight and stereoscopic cameras, using the developed rotating camera rig, provided repeatable body scanning data with minimal operator-induced error. However, the time-of-flight camera generated more accurate three-dimensional point clouds than the stereoscopic sensor. Thus, this suggests that applications requiring the generation of accurate three-dimensional human models by KinectFusion techniques should consider using a time-of-flight camera, such as the Microsoft Kinect V2, as the image capturing sensor.

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Section: Discussionmentioning

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Comparison of depth cameras for three-dimensional reconstruction in medicine

Chiu

Thelwell

Senior

et al. 2019

Proc Inst Mech Eng H

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“…Recently there have been significant advances in the development and manufacture of 3D imaging systems capable of capturing detailed and accurate external dimensions of the human body, in a more timely and non-invasive manner than manual measures (20,24,25). Studies have investigated the use of more complex anthropometrics using data captured by these devices, such as volume and surface area, which have been shown to distinguish differences in body size and shape unattainable using simple anthropometrics (17,26,27). However, the majority of anthropometric studies use a specific definition of shape, based on the ratios and relative proportions of onedimensional anthropometrics, such as waist girth and stature, to create proxies of shape.…”

Section: Motivation For the Researchmentioning

confidence: 99%

“…Calculation of whole body and segmental volume has been used within kinanthropometry (42,108,165) and health (166,167) applications. It has been suggested that volume, measured using 3D imaging, can provide improved predictions of sporting performance than traditional size measures (26,168) and could complement body composition assessment modalities, such as ultrasound and DEXA (93). The body volume index (BVI) has been proposed as a novel 3D scan-based measure within healthcare and the estimation of body composition (27).…”

Section: Area and Volumementioning

confidence: 99%

Assessing human morphology using statistical shape analysis

Thelwell¹

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Measurements of human body size and shape are an important source of information for a range of scientific fields and applications; however, practitioners still rely on traditional tools and methods which limit the kinds of measurements that can be taken. Recent literature has suggested that 3D imaging technology is a more sophisticated tool that could enable the comprehensive characterisation of human body shape. The aim of this programme of doctoral study was to determine whether shape anthropometrics can complement existing techniques in the assessment of human morphology. A novel analytical procedure was developed using geometric morphometrics and statistical shape analysis methods to extract numeric parameters from 3D imaging data, which describe scale-invariant characteristics of human torso shape. Though errors in anatomical landmark identification and participant scanning posture can affect the acquisition of shape anthropometrics, the developed methods were found to have high test-retest reliability, suitable for use within subsequent investigations. A series of investigations were conducted to determine whether shape measures provide additional information which is not captured by existing anthropometric techniques. The findings of these investigations suggest that body shape measures show a complex dependence on body size. Though certain shape features demonstrate a degree of allometric scaling and change with increases in body size, there are significant proportions of shape variation which cannot be explained by existing anthropometrics. These non-allometric variations in body shape have been shown to improve the estimation of subcutaneous abdominal adiposity in a small cohort of participants, and have demonstrated the potential for misclassification of individuals using existing indices, such as BMI and WHR. This programme of research provides a more detailed understanding of human morphological variation, which could inform the development of improved tools for characterising how body shape relates to its underlying mass distribution.

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The importance of complex anthropometrics in the assessment of cyclists

Cited by 2 publications

References 166 publications

Comparison of depth cameras for three-dimensional reconstruction in medicine

Comparison of depth cameras for three-dimensional reconstruction in medicine

Assessing human morphology using statistical shape analysis

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