Rigging and Re-posing a Human Model from Standing to Cycling Configuration

Garimella, Raman; Beyers, Koen; Huysmans, Toon; Verwulgen, Stijn

doi:10.1007/978-3-030-20216-3_49

Cited by 4 publications

(4 citation statements)

References 7 publications

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“…As 3D body scanning progressed, the next step was anthropometry of the body in extreme postures. Examples of its applications include the enhanced fitting and performance of protective and sport clothing (Braganca et al, 2016; Klepser et al, 2020; Masaaki Mochimaru, 2010), scanning in driving postures to assess the ergonomics of automobile interiors (Reed et al, 2014), or scanning the body in cycling postures in order to optimize aerodynamics (Garimella et al, 2019).…”

Section: Body Shape and Pose Modelling From Dynamic 4d Scansmentioning

confidence: 99%

Advanced Processing of 4D Body Scanning Technology for the Ergonomic Design of Products and Environments

Alemany

Valero

Ballester

2023

Ergonomics in Design: The Quarterly of Human Factors Applicatio

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Anthropometrics have been crucial in the development of ergonomics. Traditionally, anthropometric data were summarized in statistical tables (means, percentiles, etc.,) that were then applied in the design process of products and environments. The emergence of 3D body scanners ushered in a new age for anthropometric research by providing, in addition to digital body measurements, a 3D representation of the body. Nowadays, the latest 4D scanning technology is able to capture the 3D body in motion. The complexity of these captures entails new challenges related to the processing, analysis, and synthesis of body data used to support ergonomics in design.

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Section: Body Shape and Pose Modelling From Dynamic 4d Scansmentioning

confidence: 99%

Advanced Processing of 4D Body Scanning Technology for the Ergonomic Design of Products and Environments

Alemany

Valero

Ballester

2023

Ergonomics in Design: The Quarterly of Human Factors Applicatio

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“…Several authors study new body measurements in extreme postures with the objective of achieving better fit and performance of protective and sports clothing (Braganca et al, 2016;Klepser et al, 2020b;Masaaki Mochimaru, 2010). Scanning in cycling postures for the study of aerodynamics (Garimella et al, 2019) or, scanning in driving postures as part of the design of car interiors (Reed et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

A methodology to obtain anthropometric measurements from 4D scans

Uriel

Ruescas

Iranzo

et al. 2022

Proceedings of the 7th International Digital Human Modeling Symposium -

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Anthropometric data can be measured manually, through traditional methods, or obtained from a 3D body scan. In both cases, anthropometric dimensions are measured in a static posture (e.g. standing, sitting) however, people interact with products and environments in movement. Anthropometry applied to the ergonomic design of spaces (e.g. workplace, cockpits) includes measurements of reaches and considers dynamic anthropometry, that is the functional ranges of movements of the limbs. In the case of wearables, products that are worn in contact to the body (e.g. clothing, protective gear), the variability of the shape and dimensions during the moment is crucial information to achieve a good fitting, comfort and performance.The appearance of new 4D body scanning technology enables the generation of digital human models in movement which reproduce the actual body shape in motion. Anthropometry in movement is a new category of body metrics that can be obtained from a sequence of scans. In this paper, the variability of eight anthropometric dimensions (neck to waist length, back length, arm length, thigh girth, crotch length, arm girth, waist girth and hip girth) is analyzed in different movements. For this purpose, ten subjects, with a variety of morphotypes, have been measured performing different movements using a 4D scanning system. The methodology to process the sequence of body scans is described to obtain automatically anatomical references of the anthropometric measurements along the movement. The results presented show the evolution of the eight anthropometric dimensions during the movement for the different subjects and movements. The mean ranges of variation are also reported and can reach values between 2-14 cm that will be relevant information for wearable design. Anthropometric dimensions in movement is a new body metric that require further research to establish new protocols, better anthropometric definitions and the creation of new datasets.

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“…Recently, some researchers have been using different mannequins to assess drag force [20]. Thus, single mannequin to perform the numerical simulations allow to compare edited mannequins/models [20][21][22][23]. Upon that, data about energy cost may help coaches, cyclists and sports analysts to control cyclist's performance [15].…”

Section: Introductionmentioning

confidence: 99%

The Aerodynamics and Energy Cost Assessment of an Able-Bodied Cyclist and Amputated Models by Computer Fluid Dynamics

Forte

Marinho

Silveira³

et al. 2020

Medicina

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Background and Objectives: The aim of this study was to assess and compare the drag and energy cost of three cyclists assessed by computational fluid dynamics (CFD) and analytical procedures. Materials and methods: A transradial (Tr) and transtibial (Tt) were compared to a full-body cyclist at different speeds. An elite male cyclist with 65 kg of mass and 1.72 m of height volunteered for this research with his competition cloths, helmet and bicycle with 5 kg of mass. A 3D model of the bicycle and cyclist in the upright position was obtained for numerical simulations. Upon that, two more models were created, simulating elbow and knee-disarticulated athletes. Numerical simulations by computational fluid dynamics and analytical procedures were computed to assess drag and energy cost, respectively. Results: One-Way ANOVA presented no significant differences between cyclists for drag (F = 0.041; p = 0.960; η2 = 0.002) and energy cost (F = 0.42; p = 0.908; η2 = 0.002). Linear regression presented a very high adjustment for absolute drag values between able-bodied and Tr (R2 = 1.000; Ra2 = 1.000; SEE = 0.200) and Tt (R2 = 1.00; Ra2 = 1.000; SEE = 0.160). The linear regression for energy cost presented a very high adjustment for absolute values between able-bodied and Tr (R2 = 1.000; Ra2 = 1.000; SEE = 0.570) and Tt (R2 = 1.00; Ra2 = 1.00; SEE = 0.778). Conclusions: This study suggests that drag and energy cost was lower in the able-bodied, followed by the Tr and Tt cyclists.

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Rigging and Re-posing a Human Model from Standing to Cycling Configuration

Cited by 4 publications

References 7 publications

Advanced Processing of 4D Body Scanning Technology for the Ergonomic Design of Products and Environments

Advanced Processing of 4D Body Scanning Technology for the Ergonomic Design of Products and Environments

A methodology to obtain anthropometric measurements from 4D scans

The Aerodynamics and Energy Cost Assessment of an Able-Bodied Cyclist and Amputated Models by Computer Fluid Dynamics

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