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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.

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.

Whilst motorcycling is an activity of pleasure in most parts of the world, in India, it is a regular mode of commuting. The number of registered motorized two wheelers increased at the rate of 14.7 percent during the year 2016-2017 to reach the figure of 20.19m in 2018. But, with this increase, the number of motorcycle road accidents is also increasing. Uncomfortable riding clothing is one of the major factors for motorcycle rider’s muscular fatigue, which might at times lead to serious accidents. No kinematic human models have been, so far, used for the design of protective, functional and aesthetic looking products, and the result is, hence, a compromised fit that is not protective or comfortable. The purpose of this paper is to develop virtual 3D human body models for specific postures of a motorcycle rider.

Kinematic analysis of a motorcycle rider was conducted to identify typical body postures obtained by the motorcycle rider while mounting and riding a motorcycle. The identified body postures were mapped on a virtual parametric human model to obtain digital model of a motorcycle rider. 3D garment patterns for jacket and trouser were developed on all the four body postures. 3D patterns were flattened out to get 2D flat patterns that were compared and analyzed, and appropriate pattern shapes from each of the four postures were selected. Virtual fit analysis was conducted for the finally garment.

It is well established that a static 2D anthropometry fails to accurately capture the dimensions of complex 3D human form, yielding poor garment fit. Therefore, in this study, virtual, 3D human body models were developed in selected dynamic poses. Garment patterns developed in 3D have the typical movement inbuilt in them; hence, they offer more comfort and ease of motion to the wearer.

The identification of typical body postures of motorcycle rider has not been done before. The CAD models developed in the study can be used for the generation of ergonomic garment patterns for the motorcycle riders.

This paper presents an analysis of several issues that are preponderant for the work-wear design. The purpose of this paper is to create a prototype of a women’s base upper body garment, based on the information gathered.

All the necessary information was collected through questionnaires, anthropometric measurements and evaluation of compression forces between the different prototypes.

It was possible to conclude that to create a better design some alterations need to be made in the standard base pattern design, such as measurements across the back length.

Despite the fact that these design changes have a great impact on the stretch ability and on the compression forces, using softer fabric, such as cotton, is always better for an increased comfort. However, in more professional situation where these fabrics should not be used, these design changes can really make a difference.

A test with a set of compression sensors showed that the simple alteration of one measurement in the design of the base patterns highly reduces the compression forces.

These simple alterations allow the garments to adjust to the users’ needs, promoting higher levels of comfort and lower levels of limitations of movement.

The designs presented in this paper can be easily adapted to a variety of garments, such as jackets or dresses, both for leisure or professional activities.

Clothing communicates information about the wearer and first impressions can be heavily influenced by the messages conveyed by attire. The purpose of this paper is to investigate the effect of minor changes in clothing on the perception of a male model, in the absence of facial information with limited time exposure.

In an on‐line study, 274 participants rated four images on five dimensions (confidence, success, trustworthiness, salary and flexibility). The man was depicted wearing a bespoke (made‐to‐measure) and a regular (off‐the‐peg) suit, which differed only in minor details. Participants saw the faceless images for a maximum five seconds.

The man was rated more positively on all attributes apart from trustworthiness when pictured in the bespoke suit. The earnings of participants also played a role in perception, with higher earners giving lower ratings to both suit types.

Minor clothing manipulations can give rise to significantly different inferences. Even small changes in clothing choice can communicate different information to a perceiver. On the evidence of this study it appears men may be advised to purchase clothing that is well‐tailored, as it can positively enhance the image they communicate to others.

This study is the first to empirically investigate first impressions using time‐limited images with minor clothing manipulations on a faceless model. Impressions arose only from clothing and were not confounded by physical attractiveness or facial features.

This paper aims to provide a better understanding of the challenges and potential solutions in Visual Simultaneous Localization and Mapping (SLAM), laying the foundation for its applications in autonomous navigation, intelligent driving and other related domains.

In analyzing the latest research, the review presents representative achievements, including methods to enhance efficiency, robustness and accuracy. Additionally, the review provides insights into the future development direction of Visual SLAM, emphasizing the importance of improving system robustness when dealing with dynamic environments. The research methodology of this review involves a literature review and data set analysis, enabling a comprehensive understanding of the current status and prospects in the field of Visual SLAM.

This review aims to comprehensively evaluate the latest advances and challenges in the field of Visual SLAM. By collecting and analyzing relevant research papers and classic data sets, it reveals the current issues faced by Visual SLAM in complex environments and proposes potential solutions. The review begins by introducing the fundamental principles and application areas of Visual SLAM, followed by an in-depth discussion of the challenges encountered when dealing with dynamic objects and complex environments. To enhance the performance of SLAM algorithms, researchers have made progress by integrating different sensor modalities, improving feature extraction and incorporating deep learning techniques, driving advancements in the field.

To the best of the authors’ knowledge, the originality of this review lies in its in-depth analysis of current research hotspots and predictions for future development, providing valuable references for researchers in this field.

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.

The purpose of this paper is to determine the effects of clothing ease and body postures on the size and distribution of the air gap as well as the body coverage with the clothing.

Visual and quantitative analyses were conducted using a 3D body scanner and Geomagic Software. The air gap size and clothing area factor (f_cl) in three test coverall and seven selected postures were calculated and compared.

The results indicated that both the clothing ease and body postures had a strong effect on the air gap and clothing coverage, especially the more complex the postures, the wider the range of influence. Nevertheless, these effects varied over body regions, being stronger at the lower body than the upper body. The air gap size at the left side of the body was generally larger than the right side. It was also found that the clothing coverage was linearly correlated with the air gap size and could be employed as an indicator to evaluate clothing protective capabilities.

The findings suggested that greater attention should be paid to the protection and flexibility at the lower body and asymmetrical distribution of the air gap should be considered in the future air gap modeling.

The outcomes provided useful information to improve the protective clothing and develop more realistic air gap models to simulate the heat and mass transfer.

The research evaluated the feasibility of 3D dynamic fit utilizing female compression tops by comparatively analyzing the virtual and actual dynamic fit.

Six female participants were 3D body-scanned and photographed in compression tops in four types of athletic movements (pull-up, kettlebell swing, circle-crunch and sit-up). Fit measurements, waist cross-sectional areas, waist width, waist depth, numerical simulation of clothing pressure (kPa) and objective pressure measurements (kPa) were collected from 3D virtual animation, 3D fit scan data and actual photos with the four types of athletic motions. The data were comparatively investigated between virtual and actual dynamic fit.

The 3D-animated body was not reflected with human body deformation because only bone structure was changed while maintaining the constant forms of muscle and body surface in athletic movements. Due to this consistency of virtual dynamic fit, there were significant differences with the actual dynamic fit at the top length, shoulder width and waist cross-sectional areas. Also, the virtual dynamic pressure indicated significantly higher levels than the objective dynamic pressure while presenting no significant correlations at the front neckline, breast, lateral waist, upper back, back armhole and back waist.

This study is the first to verify multiple aspects of virtual dynamic fit using 3D digital technology. This study provided useful information about which aspects of the current virtual animation need to be improved to apply in the dynamic fit evaluation.

In this paper, we propose a general cybernetical approach for simulating the erect stance posture control under perturbation (postural adjustment and postural reaction). For that, a reasonably complicated biomechanical model of a human body is proposed with a general motor control architecture. This cybernetical modelling method solves the body dynamic equilibrium and the trajectories tracking problems using a strategy based on the “Trunk center of mass acceleration control” and on a force distribution on each leg and each arm. The motor control scheme is composed of two levels: the “coordinator” level devoted to control legs and arms movements (trajectories tracking) and a global equilibrium of the body and “limbs” level which ensures the dynamic control of the limbs. Simulation results have been proposed to validate this cybernetical method.