Assessing the Suitability of the Microsoft Kinect for Calculating Person Specific Body Segment Parameters

Clarkson, Sean; Wheat, Jonathan; Heller, Ben; Choppin, Simon

doi:10.1007/978-3-319-16178-5_26

Cited by 24 publications

(22 citation statements)

References 39 publications

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“…Although not considered as part of this study, the person specific 3D scans hold great potential for a wealth of greater complexity measurements of greater complexity (Schranz et al, 2010;Schranz, Tomkinson, Olds, Petkov, and Hahn, 2012). For example, body segment parameters (BSPs) could be automatically estimated from the 3D scan data (Clarkson et al, 2012;Clarkson, Wheat, Heller, and Choppin, 2014;Wheat, Hart, Domone, and Outram, 2011). Currently this is a very time consuming and complicated process, requiring many manual measurements of the human body, and prone to significant errors due to significant assumptions and the use of generic models (Clarkson et al, 2014).…”

Section: Discussionmentioning

confidence: 99%

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

Clarkson

Wheat

Heller

et al. 2015

Journal of Sports Sciences

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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.

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Section: Discussionmentioning

confidence: 99%

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

Clarkson

Wheat

Heller

et al. 2015

Journal of Sports Sciences

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“…Azouz et al (2006) tackled this issue by learning landmark characteristics and their spatial relationships from a set of human scans were the landmarks were identified, and modeled such relationships as a Markov Random Field. More recently, the release of low-price multi-sensor devices such as Microsoft Kinect ® based on structured light technology, which are also portable and compact enough to be easily installed in any environment, has greatly facilitated the task of noninvasive human body measurement (Clarkson et al 2014;Espitia-Contreras et al 2014). The Kinect system is capable of capturing visual RGB-depth (RGB-D) information and generate real-time depth maps containing discrete range measurements of the physical scene, which can be later reprojected as a set of discrete 3D points.…”

Section: Related Workmentioning

confidence: 99%

Automatic Sleep System Recommendation by Multi-modal RBG-Depth-Pressure Anthropometric Analysis

Palmero

Esquirol²,

Bayo³

et al. 2016

Int J Comput Vis

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This paper presents a novel system for automatic sleep system recommendation using RGB, depth and pressure information. It consists of a validated clinical knowledge-based model that, along with a set of prescription variables extracted automatically, obtains a personalized bed design recommendation. The automatic process starts by performing multi-part human body RGB-D segmentation combining GrabCut, 3D Shape Context descriptor and Thin Plate Splines, to then extract a set of anthropometric landmark points by applying orthogonal plates to the segmented human body. The extracted variables are introduced to the computerized clinical model to calculate body circumferences, weight, morphotype and Body Mass Index categorization. Furthermore, pressure image analysis is performed to extract pressure values and at-risk points, which are also introduced to the model to eventually obtain the final prescription of mattress, topper, and pillow. We validate the complete system in a set of 200 subjects, showing accurate category classification and high correlation results with respect to manual measures.

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“…Entre los que se encuentran Kinect for Windows SDK, OpenNI, OpenKinect o Libfreenect (Magros, 2012; Velardo y Dugelay, 2011; Lee et al, 2015;Clarkson et al, 2014).…”

Section: E) Kinect (Medición Con Imágenes Y Movimiento)unclassified

“…A pesar de ser una herramienta que aún está en desarrollo para la captación de datos antropomé-tricos, se han realizados algunos estudios como los publicados por Velardo y Dugelay (2011); Lee et al (2015) y Clarkson et al (2014) donde se compara esta tecnología con el método tradicional.…”

Section: E) Kinect (Medición Con Imágenes Y Movimiento)unclassified

Antropometría. Análisis Comparativo De Las Tecnologías Para La Captación De Las Dimensiones Antropométricas

Lescay

Alonso-Becerra

González

2017

reveia

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Este artículo constituye una revisión de los principales aspectos de la Antropometría y las distintas tecnologías para la captación de las dimensiones antropométricas. La antropometría es una disciplina científica que está estrechamente relacionada con la Ergonomía Física y se desarrolla en diferentes campos de aplicación. Es la ciencia que estudia las dimensiones del cuerpo humano, los conocimientos y técnicas para llevar a cabo las mediciones, así como su tratamiento estadístico.Para obtener datos antropométricos con fines ergonómicos, ya sea para un estudio real o académico, es necesario contar con herramientas adecuadas para realizar este tipo de mediciones.Son diversas las tecnologías o dispositivos existentes para la captación de las dimensiones antropométricas y aunque históricamente la antropometría ha sido unidimensional, registrada de forma manual, utilizando diferentes instrumentos tales como: estadiómetro, antropómetro, compás antropométrico, cinta métrica, silla antropométrica, entre otros; el desarrollo de las tecnologías ha permitido la creación de sistemas de captación de las dimensiones antropométricas que no requieren del contacto directo con la persona a medir.

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Assessing the Suitability of the Microsoft Kinect for Calculating Person Specific Body Segment Parameters

Cited by 24 publications

References 39 publications

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

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

Automatic Sleep System Recommendation by Multi-modal RBG-Depth-Pressure Anthropometric Analysis

Antropometría. Análisis Comparativo De Las Tecnologías Para La Captación De Las Dimensiones Antropométricas

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