Human Body Scanning Research Articles

Study on the distribution characteristics of clearance in clothing and influence on pressure

PurposeThe purpose of this paper is to investigate the distribution characteristics of airflow in mine ventilation suits with different pipeline structures when the human body is bent at various angles. On this basis, the stress points are extracted to investigate the pressure variation of a ventilation suit under different ventilation rates and pipeline structures.Design/methodology/approachBased on the three-dimensional human body scanner, portable pressure test and other instruments, a human experiment was conducted in an artificial cabin. The study analyzed and compared the distribution characteristics of clearance under three different pipeline structures, as well as the pressure variation of the ventilation suit.FindingsThe study found that the clearance in front of two pipeline structures gradually increased in size as the degree of bending increased, and there was minimal clearance in the chest and back. The longitudinal structure exhibits a significant decrease in clearance compared to the spiral structure. The pressure value of the spiral pipeline structure with the same ventilation volume is low, followed by the transverse structure, while the longitudinal structure has the highest pressure value. The increase in clothing pressure value of a spiral pipeline structured ventilation suit with varying ventilation volumes is minimal.Originality/valueThe ventilation suit has a promising future as a type of personal protective equipment for mitigating heat damage in mines. It is of great value to study the pipeline structure of the ventilation suit for human comfort.

More-than-Human Wellbeing

More-than-Human Wellbeing

3D human body modeling with orthogonal human mask image based on multi-channel Swin transformer architecture

The reconstruction based on RGB images of dressed human body lacks the shape information of the human body under clothing, while the naked 3D human body scanning will violate the user's privacy. To overcome these limitations, a new method, based on Swin transformer (Swin-T), for reconstructing 3D human body shape from human orthogonal mask image is proposed. Its core is to express the reconstruction problem as solving regression mapping function. A fast body shape type classification method based on the human front mask is proposed. The regression function is innovatively represented as a piecewise function, with the body shape of the human body as the segmentation criterion. A multi-channel Swin-T architecture is designed, which can not only extract features from front and side mask images, but also their mixed features to construct the regression mapping function. Different body types for different genders are predicted with separate regression function to help estimate an accurate human model. Extensive experimental results show that the proposed method effectively achieves visually realistic and accurate body reconstruction, and significantly outperforms the current state-of-the-art methods. In addition, the classification of body types can compensate for the errors caused by partial clothing laxity in practical applications, which is beneficial for users to obtain a more accurate 3D human model.

Mechatronic Design and Experimental Research of an Automated Photogrammetry-Based Human Body Scanner

The article concerns the mechatronic design and experimental investigations of the HUBO automated human body scanning system. Functional problems that should be solved by using the developed scanning system are defined. These include reducing the number of sensors used while eliminating the need to rotate a human and ensuring the automation of the scanning process. Research problems that should be the subject of experimental research are defined. The current state of the art in the field of systems and techniques for scanning the human figure is described. The functional and technical assumptions for the HUBO scanning system are formulated. The mechanical design of the scanner, the hardware and information system architectures as well as the user’s mobile application are presented. The method of operation of the scanning system and its innovative features are discussed. It is demonstrated that the developed solution of the scanning system allows the identified problems to be overcome. The methodology of the experimental research of the scanning system based on the photogrammetry technique is described. The results of laboratory studies with the use of dummies and experimental research with human participation are presented. The scope of the research carried out allows answers to the identified research problems related to the scanning of the human figure using the photogrammetry technique to be obtained. As part of laboratory tests using a measuring dummy, a mean error of 0.65 mm and standard deviation of the mean of 0.65 mm were obtained for the best scanner configuration. Research with human participation was carried out for the scanner version, in which the scanning time was 30 s, with the possibility of its reduction to 15 s. The results of studies using realistic dummies and with human participation were compared using the root mean square error parameter (RMSE) provided by the AliceVision framework, which was available for all analyzed objects. As a result, it was observed that these results are comparable, i.e., the RMSE parameter is equal to about 1 px.

SHARP: Shape-Aware Reconstruction of People in Loose Clothing

Recent advancements in deep learning have enabled 3D human body reconstruction from a monocular image, which has broad applications in multiple domains. In this paper, we propose SHARP (SHape Aware Reconstruction of People in loose clothing), a novel end-to-end trainable network that accurately recovers the 3D geometry and appearance of humans in loose clothing from a monocular image. SHARP uses a sparse and efficient fusion strategy to combine parametric body prior with a non-parametric 2D representation of clothed humans. The parametric body prior enforces geometrical consistency on the body shape and pose, while the non-parametric representation models loose clothing and handles self-occlusions as well. We also leverage the sparseness of the non-parametric representation for faster training of our network while using losses on 2D maps. Another key contribution is 3DHumans, our new life-like dataset of 3D human body scans with rich geometrical and textural details. We evaluate SHARP on 3DHumans and other publicly available datasets, and show superior qualitative and quantitative performance than existing state-of-the-art methods.

Evaluation of the Accuracy of Anthropometric Data from an Entry-Level 3D Handheld Scanner for Apparel Applications

There has been a growing interest in entry-level 3D handheld scanners, since they require little space, are affordably priced for individual purchase, and their level of precision is improving. Therefore, this study was designed to evaluate the accuracy of anthropometric data from scans of both mannequins and human subjects acquired with Occipital’s Structure Sensor scanner as a representation of an entry-level handheld scanner. The dimensional accuracy of the scanner was analyzed using mannequin scans by comparing the difference between the scan-derived measurements and the direct measurements with ISO 20685 criteria. The handheld scanner reduced the length of the legs in scanning, but most of the scanning operations between the neck and crotch levels were conducted accurately. This study then assessed whether the entry-level handheld scanner is suitable for capturing a real human body affected by movements and breathing. The errors found were considered acceptable for the use of garment patternmaking. This study also provided suggestions to reduce errors during scanning and to obtain more accurate human body scans using the Structure Sensor scanner. Based on the results, entry-level 3 D scanners are expected to be used as a tool to map human body shapes in the field of clothing and textiles.

3D virtual fit assessment and modeling: liquid cooling and ventilation garment

PurposeThe suboptimal fit of a spacesuit can interfere with a crewmember's performance and is regarded as a potential risk factor for injury. To quantify suit fit, a virtual fit assessment model was previously developed to identify suit-to-body contact and interference using 3D human body scans and suit CAD models. However, ancillary suit components and garments worn inside of the suit have not been incorporated.Design/methodology/approachThis study was conducted to predict a 3D model of the liquid cooling and ventilation garment (LCVG) from an arbitrary person's body scan. A total of 14 subjects were scanned in a scan wear and LCVG condition. A statistical model was generated using principal component analysis and random forest regression technique.FindingsThe model was able to predict the geometry of the LCVG layer at the accuracy of 5.3 cm maximum error and 1.7 cm root mean square error. The errors were more pronounced for the arms and lower torso, while the thighs and upper torso regions, which are critical for suit fit assessments, show more accurate predictions. A case study of suit fit with and without the LCVG model demonstrated that the new model can enhance the scope and accuracy of future spacesuit assessments.Originality/valueThe capabilities resulting from these modeling techniques would greatly expand the assessments of fit of the garment on various anthropometries. The results from this study can significantly improve the design process modeling and initial suit sizing efforts to optimize crew performance during extravehicular activity training and missions.

Infrared Laser Speckle Projection-Based Multi-Sensor Collaborative Human Body Automatic Scanning System

Human body scanning is an important means to build a digital 3D model of the human body, which is the basis for intelligent clothing production, human obesity analysis, and medical plastic surgery applications, etc. Comparing to commonly used optical scanning technologies such as laser scanning and fringe structured light, infrared laser speckle projection-based 3D scanning technology has the advantages of single-shot, simple control, and avoiding light stimulation to human eyes. In this paper, a multi-sensor collaborative digital human body scanning system based on near-infrared laser speckle projection is proposed, which occupies less than 2 m2 and has a scanning period of about 60 s. Additionally, the system calibration method and control scheme are proposed for the scanning system, and the serial-parallel computing strategy is developed based on the unified computing equipment architecture (CUDA), so as to realize the rapid calculation and automatic registration of local point cloud data. Finally, the effectiveness and time efficiency of the system are evaluated through anthropometric experiments.

DESIGN OF GARMENTS USING ADAPTABLE DIGITAL BODY MODELS

In recent years, the 3D design software has been mostly used to improve the garment design process by generating virtual 3D garment prototypes. Many researchers have been working on the development of 3D virtual garment prototypes using 3D body models and involving the 3D human body scanning in different postures. The focus of research in this field today relies on generating a kinematic 3D body model for the purposes of developing the individualized garments, the exploration of which is presented in this paper. The discussed area is also implemented in the Erasmus+ project OptimTex - Software tools for textile creatives, which is fully aligned with the new trends propelled by the digitization of the whole textile sector. The Slovenian module focuses on presenting the needs of digitization for the development of individualized garments by using different software tools: 3D Sense, PotPlayer, Meshroom, MeshLab, Blender and OptiTex. The module provides four examples: 3D human body scanning using 3D photogrammetry, 3D human body modelling and reconstruction, construction of a kinematic 3D body model and 3D virtual prototyping of individualized smart garments, and thus displays the entire process for the needs of 3D virtual prototyping of individualized garments. In the OptimTex project, the 3D software Blender was used to demonstrate and teach students how to construct the "armature" of the human body as an object for rigging or the virtual skeleton for a 3D kinematic body model, using the knee as an example.

Parametric 3D modeling of young women's lower bodies based on shape classification

Three-dimensional (3D) human body modeling is an important research direction in the field of clothing virtual design. On the basis of 3D human body scanning, this paper studied a method to build a 3D parametric lower body model according to body classification. The research includes three main parts. (1) Anthropometry and body shape classification. We randomly selected 333 young women ages 18–25 years old in Northeast China as the experimental sample. Then we divided the lower body shape into three categories using principal component analysis and K-means clustering. (2) Determination of feature cross sections and points, and reconstruction of feature curves. According to the average values of each body type, we obtained the mean reference body by Euclidean distance method. We determined feature cross sections and points, and extracted the 3D coordinates of the feature points of the mean reference body to reconstruct the feature curves. (3) The surface lofting and establishment of parametric 3D lower body model. According to the shape characteristics of the lower body, we constructed the guiding lines for the crotch and lower limbs, and established parametric lower body models for three body types. Relevance to industry3D human modeling is an important part of garment industry digitization. This research provides an effective way to construct a parametric 3D lower body model. The method offers a reference for the parametric virtual human modeling and virtual fitting of trousers.

Developing a Specific MRI Technology to Identify Complications Caused by Breast Implants

With advancements in aesthetic medicine, breast augmentation has become a popular plastic surgery worldwide, typically performed using either fine-needle injection or silicone implants. Both carry complication risks from rupture over time. In this study, we aimed to reduce misjudgments and increase diagnostic value by developing an MRI technique that can produce water- and silicone-specific images from MRI scans of phantoms (Natrelle® saline-filled breast implants) and human bodies. Pig oil, soybean oil, and normal saline were used to simulate human breast tissue, and two common types of breast implants, saline bags, and silicone bags, were selected as well, resulting in five materials scanned. Six pulse sequences were applied: T1W fast spin echo (FSE), T1W SPGR/60, T2W, T2W fat-saturation, STIR, and STIR water-saturation. Human body scans were additionally investigated using 3D SPGR fat-saturation dynamic contrast enhancement. Results show that the best way to enhance tissue contrast in images of silicone implants is to apply STIR combined with water suppression, and the best way to enhance saline bag implants is to apply T2W fat-saturation combined with fat suppression. Both offered very high sensitivity and specificity, rendering this method especially useful for distinguishing normal mammary glands from siliconoma.

Automatic Segmentation and 3D Printing of A-shaped Manikins using a Bounding Box and Body-feature Points

A novel algorithm for 3D-printing technology was proposed to generate large-scale objects, especially A-shaped manikins or 3D human body scan data. Most of the conventional 3D printers have a finite printing volume, and it is the users’ work to convert the target object into a printable size. In this study, an automatic three-step segmentation strategy was applied to the raw manikin mesh data until the final pieces had a smaller size than the 3D printer’s maximum printing volume, which is generally called “beam length”. Human body feature point information was adopted for fashion and textile researchers to easily specify the desired cutting positions. A simple bounding box, especially orienting bounding box, and modified Boolean operator were proposed to extract the specified segments with computational stability. The proposed method was applied to graphically synthesized manikin data, and 1/8, 1/4, and 1/2 scale manikins were successfully printed, minimizing the amount of support structure.

Application Two-Dimensional Pattern Development of Cycling Tights based on the Three-Dimensional Body Scan Data of High School Male Cyclist

This study develops an optimal two-dimensional (2D) pattern from three-dimensional human scan data by con sidering the cycling posture and dermatome of high school male cyclists. By analyzing the body surface change in the cycling posture and considering the dermatome of the lower limbs, the optimal cutting line setting and the development of cycling tights for individual cyclists were presented to provide data that could be used in the clothing industry. We designed three cycling tights to solve the size unsuitability. 3D design 1 is a non-extension design based on the analysis of the 3D human body scan data, in which parts were connected diagonally from the front of the knee to the back of the knee. 3D design 2 removed both the front and back to reduce air resistance during cycling. 3D design 3 did not have a cutting line on the front panel because of the air resistance during cycling in the front area. We analyzed the garment pres sure for 8 points of lower body and performed a subjective evaluation of the 3D designed tights and the current cycling tights. The 3D design 1 in this study was well received in the omphalion, thigh, and hip area, while 3D design 3 was well received in the omphalion, thigh, hip, and bottom bands. Therefore, the LoNE of 3D design 1 was applied to the front, and the hip cutting line of 3D design 3 was applied to the back.

Development of helmet mold design system using 3D anthropometric analysis

PurposeThe purpose of this paper is to develop a software can generate helmet mold from three-dimensional (3D) human body scan data.Design/methodology/approachAn algorithm has been developed to divide data into arbitrary number of groups considering the width, length and height of head using the standard normal distribution theory. A basic helmet mold is generated automatically based on the shape of representative convex hull for each group.FindingsIt is possible to analyze the 3D human body scan data of groups with various characteristics and apply them to mass customized production of helmet.Practical implicationsThis methodology can be applied for designing other products related to the head shape such as goggles and masks by varying the measurement items of the head.Social implicationsThis methodology will enable mass customized production centered on consumers in the production and design of various equipment and goods to be worn on the head.Originality/valueAn algorithm has been developed to define the vertex point, which is the limit of scan data, for the analysis of 3D human body scan data scan data. In addition, a system was developed that can mass-produce customized products by effectively dividing groups while taking into account the physical characteristics of consumers.

单探测器快速扫描被动太赫兹人体成像系统

单探测器快速扫描被动太赫兹人体成像系统

The Use of New Technologies for the Development of Protective Clothing: Comparative Analysis of Body Dimensions of Static and Dynamic Postures and its Application

Abstract In this research, the use of new technologies for the development of special protective overall for sport aircraft pilots was studied, with a focus on a comparative analysis of the static and dynamic body postures’ dimensions, intended for the development of the overall’s pattern design. For this purpose, digitalization of five male persons was carried out with the 3D human body scanner Vitus Smart by using 3D printed markers, precisely positioned on defined body locations, intended for exact measurement of body dimensions. Male persons, aged between 19 and 35 years with the same athletic body type and different body heights and body mass indexes (BMIs), were scanned in a standard static standing body posture and three dynamic body postures. A comparative analysis between the static and dynamic body postures was carried out. Based on the established body dimensions and girth dimensions of the 3D body model with 3D-modeled compression elements, made-to-measure construction of the overall pattern design was carried out. The function of these compression elements is redistribution of the blood from the lower extremities to the upper body parts at the appearance of high g-forces. Therefore, increased girth dimensions due to the use of compression elements were applied in the overall development process as construction measures with needed ease allowances. The functionality of the developed special protective overall was explored on the scanned 3D body model with 3D-modeled compression elements in a real sitting posture of the sport aircraft pilot in a cab by using virtual prototyping. The virtual simulation technology showed that a well-fitted protective overall for sport aircraft pilots can be developed by using a 3D scanned body model of a person in a sitting posture and its 3D body dimensions.

Developing Fall-impact Protection Pad with 3D Mesh Curved Surface Structure using 3D Printing Technology.

In this study, we present the development of fall-impact protection pads for elderly people using three-dimensional (3D) printing technology. To develop fall-impact protection clothing, it is important to maintain the functionality of the protection pad while ensuring that its effectiveness and appearance remain optimal in the process of inserting it. Therefore, this study explores the benefit of exploiting 3D scan data of the human body using 3D printing technology to develop a fall-impact protection pad that is highly suited to the human body shape. The purpose of this study was to present a 3D modeling process for creating curved protective pads comprising a hexagonal mesh with a spacer fabric structure and to verify the impact protection performance by printing curved pads. To this end, we set up a section that includes pads in the 3D human body scan data and extracted body surface information to be applied in the generation of the pad surface. The sheet-shaped hexagonal mesh structure was cut and separated according to the pad outline, and then deformed according to the curved surface of the human body. The pads were printed, and their protection performance was evaluated; a 79.2–81.8% reduction in impact force was observed compared to similar cases in which the pads were not used.

A Study on Development of Men's Formal Jacket Pattern by 3D Human Body Scan Data -A Focus on Men's in their Late 30s-

A Study on Development of Men's Formal Jacket Pattern by 3D Human Body Scan Data -A Focus on Men's in their Late 30s-

Research on Ease of Protective Clothing Based on Three-dimensional Human Body Scanning

Research on Ease of Protective Clothing Based on Three-dimensional Human Body Scanning

SIZING FOR A SPECIAL GROUP OF PEOPLE: BEST PRACTICE OF HUMAN BODY SCANNING

Due to new circumstances of living, climate and environmental changes, varieties of human body shapes are growing. Therefore, obtaining uniformly clothes for special issues in the group of people with similar interests (dancing groups, choirs, etc.) are getting more and more complex. Besides the self-estimation and perception about the shape and size of the person varies due to different sizing from brand to brand. To dress-up the group of people with different sizes in uniformly way is not an easy task for the supplier – even if the model chosen for the gown is casual, most of the producers doesn’t apply a large scale of sizes. Frequently sizing systems do not fit to the needs of the end-users. Size marked on the clothing describes only some information about body size, if any. Therefore, part of clothing supplied is not suitable for end-user groups, but if already purchased it is decided to discard them. Such a set of circumstances, in contrast to global progress towards sustainable development, which is also based on environmental responsibility, can serve as a contributing factor to further growth in clothing consumption. The main purpose of this study is to make an insight into sizing approaches for a special group of people focusing on the best practice of human body 3D scanning. The paper outlines a certain target group’s understanding of the clothing size correspondence to their individual body characteristics. Advantages of human body scanning for analysing of body characteristics and solving sizing issues are discussed. Within the study, anthropometric data sets of 50 women group were obtained using a 3D scanner to develop the distribution of this special group into size groups and analyse individual body measurements that are significant for the design of appropriate garment patterns. Conclusions made in this paper acknowledge 3D scanning as an advantageous method for anthropometric data obtaining which are determinate for garment design and sizing system development.