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Aims to check the validity of measurements of dynamic postures recorded by a body scanner.

Measurements between various anatomical landmarks have been taken both manually and using a 3D body scanner so that the validity of the measurements might be assessed when dynamic postures are adopted. Mechanical measurements of changes in the body surface dimensions have been compared with figures produced by a body scanner for both the standard natural position and for five dynamic postures, which must be accommodated when designing high‐performance garments.

Although the 3D body scanner collects data almost instantaneously and without physical contact with the target surface, the readings taken in respect of dynamic poses showed significant variations from manually‐taken measurements, with discrepancies as large as 6.8 cm over a 16 cm distance.

The research has only been carried out on a very limited number of subjects. However, significant differences between manual and automatic body measurements are clearly demonstrated.

The research showed that as there are as yet no universally‐accepted conventions for 3D scanner measurements, the results appear to be optimised for the natural anatomical position. Body‐scanners are not well‐suited to taking measurements of dynamic postures expected in sporting activities.

Measurements of anthropometric landmarks for high‐performance activities have not previously been assessed, and these results usefully indicate the limitations of current 3D scanning technology.

This paper describes research undertaken at the Nottingham Trent University which investigated body movements and their relationship to garment design. The study identifies the difference between ergonomic measuring positions and the natural postures used by real figures in real activities. A new approach to the identification and coding of upper body postures has been made. A body coding system and a simple piece of equipment was designed that enables extended natural body positions to be recorded, thus achieving repeatability. This work enabled comparisons of aesthetic appearance and the functional comfort of women's tailored jackets to be examined.

This paper aims to describe the development of an interactive body model that can be altered to match individual body perimeter, postures and depth for the purpose of computerized pattern making.

Construction of the posture and depth adjustable body model requires the extraction of ten points, adjustment of coordinate points, linking of points by spline curves, control of section lengths and selectability of three hip types. Front to back depth of the model is adjusted by scaling ratio.

Good results were achieved in modelling back shapes, such as flat shape and stoop shape, and of modelling various hip shapes, such as flat shape and protruding shape. Also the presented body model is able to accurately simulate individual depth of bust, waist and hips. Silhouette comparison between the fully adjusted virtual body model and real body shapes shows an almost perfect match. A primary dialog for altering perimeter, length and depth, and a posture dialog for controlling back and hip shapes was developed.

By making fine adjustments to posture and depth, it is possible to make patterns which result in clothing that not only fits well, but also exhibits other desirable properties. This system could, therefore, be seen as a major step forward in pattern making.

The purpose of this paper is to comparatively examine the personnel working in the clothing sector by examining them in three different methods in order to determine the working postures, identification of the stress factors of musculoskeletal system and the exposures depending on the working postures. Methods used in the study, REBA (Hignett and McAtamney, 2000), Ovako Working Posture Analyzing System (OWAS) (Karhu et al., 1977) and PLIBEL (Kemmlert, 1995) are the scientific observation-based methods. Within the scope of this study, the working stations and the working postures of the operators who work in the clothing sector were examined and their movements that could cause harm to the body were examined and in conclusion some suggestions were suggested to prevent these movements.

Due to the standard unit of times in clothing sector are short and the work done is very repetitive, 30 min recording was thought as enough for each operator examined. These recorded videos were then divided into 30 s photographs to obtain the poses of the operators’ working postures. In the scope of the research, first, the PLIBEL observation form was filled as the PLIBEL method is more general one. According to the working postures, the body regions which are damaged or can be damaged were identified and the PLIBEL form was filled in the consideration of the risk factors in the form (Malchaire 2011). In addition, the photographs were also analyzed with REBA and OWAS methods for having more quantitative and detailed results.

The working postures of the operators who work in the cutting, sewing, ironing, quality control and packaging departments of six clothing companies were examined in the scope of this research with PLIBEL, REBA and OWAS methods in terms of ergonomy. The results belonging to each department were given separately. REBA and OWAS methods have been applied in order to investigate the working postures in more detail due to the lack of providing numerical data of the PLIBEL method. The reliability of the study has been approved with obtaining the similar results from the REBA and OWAS methods. According to Table VIII, both of the methods show that all the departments in question need ergonomic arrangements. It was analyzed that the cutting department is in the first place which needs ergonomic arrangement immediately (REBA %90.58, OWAS %87.69).

This study is composed of 65 operators who have experience between 5 and 22 years and in the age range of 22–43 working in the cutting, sewing, ironing, quality control and packaging departments in eight different clothing companies. These 65 operators were recorded by video camera during their work. The recording time were selected randomly. The movements of operators during their own work have been taken into consideration.

This paper indicates the usability of the PLIBEL, OWAS and REBA methods in clothing sector. Using these methods in clothing sectors states the value and the originality of this paper.

3D garment design technology is developing rapidly thereby creating a need for different approaches to developing the patterns. The purpose of this paper is to evaluate the 3D dynamic ease distribution for a 3D garment design.

Standard garments were created from Size 2 to Size 14 for ten human subjects. Landmarks location on both human body and the standard garment under dynamic postures are recorded, and he fit and comfort evaluation of the standard garment were collected from the ten human subjects. Finally, these data were used to evaluate the 3D dynamic ease distribution for a 3D garment design.

3D dynamic ease evaluation is challenging and the findings showed that the upper-arm design is a core element of the whole 3D garment design. The upper arm is not only a connecting part for both front and back pieces of the garment, but is also the main active part of the body, so it is the essential element to affect the comfort and fit of the garment under dynamic postures.

This research provides a novel 3D ease evaluation by analyzing the landmarks location of both human body and standard garment, and fit and comfort evaluation of the standard garment, which are all carried under dynamic postures.

This paper reviews the pros and cons of different parametric modeling methods, which can provide a theoretical reference for parametric reconstruction of 3D human body models for virtual fitting.

In this study, we briefly analyze the mainstream datasets of models of the human body used in the area to provide a foundation for parametric methods of such reconstruction. We then analyze and compare parametric methods of reconstruction based on their use of the following forms of input data: point cloud data, image contours, sizes of features and points representing the joints. Finally, we summarize the advantages and problems of each method as well as the current challenges to the use of parametric modeling in virtual fitting and the opportunities provided by it.

Considering the aspects of integrity and accurate of representations of the shape and posture of the body, and the efficiency of the calculation of the requisite parameters, the reconstruction method of human body by integrating orthogonal image contour morphological features, multifeature size constraints and joint point positioning can better represent human body shape, posture and personalized feature size and has higher research value.

This article obtains a research thinking for reconstructing a 3D model for virtual fitting that is based on three kinds of data, which is helpful for establishing personalized and high-precision human body models.

The purpose of this paper is to present a method of digital twins of female bodies and the optimization of wetsuit patterns with the help of virtual technologies.

First, the new anthropometrical grouping of female torsos has been developed with 3D body scanning technology. Second, soft tissue deformation under the influence of typical diving postures and hydraulic pressure has been explored. Through real experiments, the relationship between textile material strain and body measurement changing has been applied to establish deformed digital twins of female bodies. Finally, during the evaluation of the virtual wetsuit test on digital twins through material strain and pressure values in CLO 3D, the optimized pattern of the wetsuit has been designed.

The experimental results show that the digital twins based on real data transformation are feasible and practical, and the process of establishing digital twins with 3D body scanning technology is valid and accurate.

The researches on the wetsuit of structure and body dynamic measurements still have many gaps existing in the real and virtual experiments. Thus the manuscript addresses these issues and provides the deformed digital twin for wetsuit pattern design for the first time. This study can be used for designing and optimizing the wetsuit and further improving the efficiency of manufacture and evaluation.

Unnatural working postures usually cause musculoskeletal problems for workers in work field, especially in traditional industry. Many analysis and survey methodologies have been developed to identify unnatural postures and disorder risks in workplaces. The Ovako Working Posture Analyzing System (OWAS) and Nordic Musculoskeletal Questionnaire (NMQ) are the representative methods and applied widely. This study applied the both tools to investigate the work field of a manufacturing factory of the water heater’s case. We divided the manufacturing process into nine workshops, took the pictures of working motions by DV camera and analyzed the postures on OWAS. From the OWAS results, we could identify the risks level of musculoskeletal symptoms as four Action Categories (AC). And from the comparison of OWAS and NMQ results, we could provide the suggestions to improve the working methods and environment. From the results of OWAS, we found that the operators) head/neck and back were above AC3 in some workshops. If the situation continued in long period, the operators might have the risk to get musculoskeletal symptoms. From the investigation of NMQ, we also found that the percentage of aches on neck, shoulders and lower back were higher than other parts of body. The correlation between aches and jobs was more than 75 per cent. So we provided some suggestions to improve: work rotation and adjustment of work surface/height to fit in with Ergonomics. Then the risks of musculoskeletal symptoms would be reduced.

Carpenters are constantly vulnerable to musculoskeletal disorders. Their work consists of subtasks that promote nonfatal injuries and pains that affect different body segments. The purpose of this study is to examine ergonomic exposures of carpentry subtasks involved in floor framing, how they lead to musculoskeletal injuries, and how preventive and protective interventions around them can be effective.

Using wearable sensors, this study characterizes ergonomic exposures of carpenters by measuring and analyzing body movement data relating to major subtasks in carpentry flooring work. The exposures are assessed using Postural Ergonomic Risk Assessment classification, which is based on tasks involving repetitive subtasks and nonstatic postures.

The findings of this paper suggest severe risk impositions on the trunk, shoulder and elbow as a result of the measuring and marking and cutting out vent locations, as well as in placing and nailing boards into place.

Because of the type and size of wearable sensor used, only results of risk exposures of four body-parts are presented.

This study draws insights on how to benchmark trade-specific measurement of work-related musculoskeletal disorders. Safety efforts can be targeted toward these risk areas and subtasks. Specifically, results from these will assist designers and innovators in designing effective and adaptable protective interventions and safety trainings.

Extant studies have failed to provide adequate evidence regarding the relationships between subtasks and musculoskeletal disorders; they have only mimicked construction tasks through laboratory experimental scenarios. This study adds value to the existing literature, in particular by providing insights into hazards associated with floor carpentry subtasks.

Work-related low back disorders (LBDs) are prevalent among rebar workers although their causes remain uncertain. The purpose of this study is to examine the self-reported discomfort and spinal biomechanics (muscle activity and spinal kinematics) experienced by rebar workers.

In all, 20 healthy male participants performed simulated repetitive rebar lifting tasks with three different lifting weights, using either a stoop (n = 10) or a squat (n = 10) lifting posture, until subjective fatigue was reached. During these tasks, trunk muscle activity and spinal kinematics were recorded using surface electromyography and motion sensors, respectively.

A mixed-model, repeated measures analysis of variance revealed that an increase in lifting weight significantly increased lower back muscle activity at L3 level but decreased fatigue and time to fatigue (endurance time) (p < 0.05). Lifting postures had no significant effect on spinal biomechanics (p < 0.05). Test results revealed that lifting different weights causes disproportional loading upon muscles, which shortens the time to reach working endurance and increases the risk of developing LBDs among rebar workers.

Future research is required to: broaden the research scope to include other trades; investigate the effects of using assistive lifting devices to reduce manual handling risks posed; and develop automated human condition-based solutions to monitor trunk muscle activity and spinal kinematics.

This study fulfils an identified need to study laboratory-based simulated task conducted to investigate the risk of developing LBDs among rebar workers primarily caused by repetitive rebar lifting.