Proceedings of 3DBODY.TECH 2018 - 9th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Lugano, Switzerland, 16-17 Oct. 2018最新文献

{"title":"Designing of Standard-Size Shapes of Heads for Selection from Customized and Mass-Produced Headwear","authors":"K. Karavaev, M. Truphanov","doi":"10.15221/18.120","DOIUrl":"https://doi.org/10.15221/18.120","url":null,"abstract":"The presented research introduces the method along with soft and hardware which allows to design gear and headwear and provides further easy selection of the necessary items among the standard mass produced goods which best match the individual requirements of a client. The paper introduces the results of the research and the developed method along with the description of special soft and hardware which allows the fast and precise selection of an individual item of gear or headwear using the commonly available means. The advantage of the presented method and the means is the combined use of information and data on available size ranges of headwear and protective sports headgear together with individual size and shape of a client’s head, which guarantees reasonable price/quality ratio and allows a client to choose that precise item among the mass-produced goods which provides maximum comfort. Another distinctive feature of the presented approach is that it allows fast selection of the required item by means of creation and further use of the unique code index which defines the shape, size and other individual characteristics of a particular client. To sum up, the devoted solutions which are introduced in this presentation combine the advantages of the customized approach and the selection from the mass-produced gear thus providing the fast and accurate way to choose a particular sports gear item or headwear that best matches the individual requirements of a client.","PeriodicalId":416022,"journal":{"name":"Proceedings of 3DBODY.TECH 2018 - 9th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Lugano, Switzerland, 16-17 Oct. 2018","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125751340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Anthropometric Investigation of Head Measurements for Indian Adults","authors":"Parth B. Shah, Y. Luximon, Fang Fu, Vividh Makwana","doi":"10.15221/18.114","DOIUrl":"https://doi.org/10.15221/18.114","url":null,"abstract":"One of the primary purpose of head related products is to protect the head. To perform their function well, these products need to be in close contact with the head, so in order to ensure a good fit, the designers need accurate anthropometric data. Till date only a few studies have been conducted on Indian adult population to acquire their head shape data and hence there is a need of conducting such studies so as to help in customizing products for Indian population. In this paper authors presents a preliminary investigation of four anthropometric parameters namely head length, width, circumference and anterior height. Thirty male and thirty female adults participated in the study, in which their anthropometric measurements were acquired from 3D head models developed from Computed Tomography (CT) image data. The acquired data was further statistically analyzed to create an understanding of the head shape of Indian adults. The mean values of the acquired data showed the difference in sizes of males and female heads. The analysis also showed a significant correlation between head length and circumference for both male and female participants.","PeriodicalId":416022,"journal":{"name":"Proceedings of 3DBODY.TECH 2018 - 9th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Lugano, Switzerland, 16-17 Oct. 2018","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128292927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"3D Profilomer Combined with Hyperspectral Camera for Simplified Rheumatoid Arthritis Diagnostics","authors":"U. Pavlovčič, J. Stergar, L. Rogelj, Jure Kosir, M. Jezeršek, M. Milanič","doi":"10.15221/18.031","DOIUrl":"https://doi.org/10.15221/18.031","url":null,"abstract":"Rheumatoid arthritis is a disease, which significantly impairs patient’s quality of life and ability to work. It has been proven that early diagnosis is of paramount importance, since early treatment has a higher likelihood for improving the course of the disease. Thus, the onset of the disease should be detected as early as possible. Changes in tissue oxygenation, blood concentration, light scattering and joint shape indicate joint inflammation, which could be detected and quantified using optical techniques. That is why a proposed system combines the hyperspectral imaging system and 3D profilometer. It enables measuring a spectrum of the reflected light from small joints with about 1 nm resolution, and a shape of the surface with a precision of about 0.02 mm × 0.13 mm × 0.02 mm. In this study a RA diagnostics prototype comprising of a hyperspectral imaging system and a 3D scanning system is used to aid the rheumatoid arthritis diagnostics.","PeriodicalId":416022,"journal":{"name":"Proceedings of 3DBODY.TECH 2018 - 9th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Lugano, Switzerland, 16-17 Oct. 2018","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131027617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A New Method for Finding the Shoulder Complex Rotation Centre Using 3D Body Scanning","authors":"S. G. Rozevink, I. Kingma, D. Spies, M. Paalman, Johan F.M. Molenbroek, B. Naagen, M. Maas, G. Streekstra, H. Daanen","doi":"10.15221/18.019","DOIUrl":"https://doi.org/10.15221/18.019","url":null,"abstract":"To avoid radiation exposure to the body, the rotation centre of the shoulder complex is often assessed using the Optotrak motion capture system instead of X-ray imaging. Recently, 3D body scanning techniques evolved from static to temporal scanning. This study investigated if a time series of 3D body scans may be an alternative for motion capture systems focussing on the shoulder complex rotation centre which is relevant for exoskeleton alignment to the user’s body. 13 Male participants participated in this study (age 24.8±2.4 years, stature 182.2±5.5 cm, body mass 80.7±7.3 kg). Motion capture data (Optotrak) and 3D body scans (3dMD) were collected while the participant performed predefined movements (abduction, anteflexion and a combination of the two). The helical axes method was used to calculate the rotation centre from motion capture data as reference. The 3D scans were processed modelling the upper arm as a cylinder or as a set of perpendicular slices to the centroid axis. Also, a point 30 millimetres below the acromioclavicular joint, assessed from the 3D scan, was defined as the conventional method. The mean distance from the rotation centre of each individual to the mean rotation centre of the cylinder (19 mm), centroid (18 mm), conventional (16 mm) and helical axis method (21 mm) were much smaller than the distances between the 3D scan derived methods and the helical axes method (43-49 mm). The shoulder complex rotation centre location differed considerably between the four methods. Therefore, X-rays of the shoulder are necessary as a golden standard to indicate which method is closest to the real rotation centre and to determine the correction factor for each method that removes the systematic error. 3D body scans contain valuable anthropometric information and have the potential for biomechanical modelling since the random error does not exceed the error of the Optotrak motion capture system.","PeriodicalId":416022,"journal":{"name":"Proceedings of 3DBODY.TECH 2018 - 9th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Lugano, Switzerland, 16-17 Oct. 2018","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114448903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of Fat Mass and Validation Using 3D-Whole Body Scanner in Healthy Indian Males","authors":"L. R. Varte, S. Rawat, I. Singh, Shilpa Choudhary, S. R. Singh","doi":"10.15221/18.195","DOIUrl":"https://doi.org/10.15221/18.195","url":null,"abstract":"Background: BMI generally overestimates adiposity (i.e. body fat tissue) and underestimates excess body fat on those with less lean body mass. Aim: We wanted to assess the hypothesis that Fat Mass (FM) measured by bio impedance analysis (BIA) is comparable to the predicted Body Fat Mass (BFM) using 3D scanned anthropometric dimensions. Methods: The present paper investigates whether anthropometric measurements using 3D whole body scanner can provide clinically reliable prediction equation to assess adiposity. 3D whole body scanner provides a fast and precise alternative where the scanner gives upto 140 measurements within a few seconds. Intra-and inter-individual error margins in traditional anthropometric measurements frequently arises for large sample studies, besides, manually taking measurements are time-consuming and challenging to perform within acceptable limits. Six hundred and eight (608) healthy adults were scanned using a 3D whole body scanner and their body composition was measured using the Tanita Bipodal bioelectrical impedance analysis (BIA). 486 formed the development group (for the prediction equation) and 20% of the total (i.e. 122 formed the validation group) based on alphabetical order of participant’s name. Linear regressions were performed to predict an equation wherein the body circumferential measurements like Waist Girth, Hip Girth and Chest Girth were predictors and Fat Mass was the dependent variable. Results: Predictive body composition equation based on volumetric body circumference (girth) proposed for healthy Indian males is FM = 0.420 (Waist Girth) + 0.241 (Chest Girth) + 0.051 (Hip Girth) 51.817. The predicted fat mass value was used for the validated population and we did not see much of a difference between the predicted and measured fat mass. The mean age among the 608 volunteers was 32.54 ± 6.3 years, weight was 71.26 kg ±7.8 kg and BMI was 24.1 ± 2.57 kg/mt. Average difference between body fat measured by BIA predicted body fat mass was 0.13 kg, median 0.50 kg, IQR: 0.80 to 0.20 kg, adjusted R 0.74. Conclusions: 3D whole body scanner technology offer defined and accurate automated anthropometric dimensions and measurements of body shape. Further studies are warranted to reveal important relationships between body shape, body composition and metabolic health across sex, age, BMI and ethnicity groups.","PeriodicalId":416022,"journal":{"name":"Proceedings of 3DBODY.TECH 2018 - 9th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Lugano, Switzerland, 16-17 Oct. 2018","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132484167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimating Body Fat from Depth Images: Hand-Crafted Features vs Convolutional Neural Networks","authors":"Marco Carletti, M. Cristani, V. Cavedon, C. Milanese, C. Zancanaro, Andrea Giachetti","doi":"10.15221/18.201","DOIUrl":"https://doi.org/10.15221/18.201","url":null,"abstract":"In this paper, we compare different approaches to estimate body fat percentages from simple depth images that can be captured by low-cost sensors. We implemented two frameworks, one based on hand-crafted features, using simple image processing methods to estimate directly from images a set of body measurements (e.g. areas, lengths girths), and one based on Convolutional Neural Networks, applying a direct regression from the grayscale maps representing the body depth, based on a pretrained networks. With these frameworks, we evaluated the fat percentage predictions obtained with the different methods on depth images of 350 subjects with known body composition estimated with a DXA scanner. Depth images were generated by extracting the z-buffer from the renderings of the 3D body scan models acquired on the group of subjects. In our validation experiments, we evaluated the effect of different simulated acquisition setups, parameters settings, different image preprocessing and data-augmentation procedures and the addition of priors on height and weight on the prediction accuracy. Furthermore, since the dataset used is composed of professional sportsmen and a control group, we evaluated also the ability of both frameworks of predicting the sport practiced by the subjects with a cross-validation experiment. In specific, we propose a customized ResNet50 regressor to evaluate the whole body fat percentage of the subjects directly from the depth acquisitions. Using the same input data, we also set up a neural classifier to predict the sport category of the athlets. Despite the limited numbers of subjects and the restricted variability of body types (all males, Caucasian, with a small number of obese), the results obtained are promising and can be considered a first step towards the development of quick and cheap body fat estimation tools that can be extremely useful for sport, health and fitness applications.","PeriodicalId":416022,"journal":{"name":"Proceedings of 3DBODY.TECH 2018 - 9th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Lugano, Switzerland, 16-17 Oct. 2018","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129690951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fast Foot Measurement System Based on 3D Measurement Network","authors":"Qijian Tang, Xinyun Liu, Chang Liu, Xiaoli Liu, Menglong Liu, Xiang Peng","doi":"10.15221/18.170","DOIUrl":"https://doi.org/10.15221/18.170","url":null,"abstract":"A multi-node 3D foot measurement network system is proposed based on digital speckle correlation method. For each node, two cameras build a binocular system, the corresponding points between the left and right cameras are established through the spatial correlation method. In order to improve the search speed of corresponding points, the epipolar and parallax constraints are adopted. The sub-pixel corresponding point location is achieved by Newton-Raphson iterative optimization method to improve the reconstruction accuracy, and the single-node depth data is finally reconstructed based on the stereo vision principle. Multi-view depth data is matched by means of the measurement network calibration technology. The whole foot data acquisition takes less than one second, which has a great commercial application prospect.","PeriodicalId":416022,"journal":{"name":"Proceedings of 3DBODY.TECH 2018 - 9th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Lugano, Switzerland, 16-17 Oct. 2018","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129441668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study of Fashion Accessories Design Based on 3D Printing Technology","authors":"Siyu Chen, Huanyun Wei, Li Zhou","doi":"10.15221/17.084","DOIUrl":"https://doi.org/10.15221/17.084","url":null,"abstract":"The shape of clothing accessories includes internal styling and external styling. Through analyzing roles that 3D printing plays in spatial relations construction of garment accessories and in realizing these roles through utilizing internal processes and materials, 3D printing's functions in constructing the internal styling of garment accessories are highlighted; through analyzing its applications in functional additions and styling of garment accessories, 3D printing's applications in external styling of garment accessories are also reflected. Based on the manufacturing principle and material properties of 3D printing technology, this paper takes the castle backpack design as the experimental object, carries out experimental analysis and research. In the course of the experiment, 3D printing technology solved the difficulty of the castle modeling, the work is fine and the success rate is higher. The advantages of these experiments can be seen in every design and manufacture. The maturity of 3D printing technology makes the complex and changeable garment accessories design can be obtained by 3D printing technology. The success of the experiment provides a 3D printing technology information library for the design of clothing accessories.","PeriodicalId":416022,"journal":{"name":"Proceedings of 3DBODY.TECH 2018 - 9th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Lugano, Switzerland, 16-17 Oct. 2018","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130785582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}