Investigation of usability and measurement accuracy of 3D body scanning mobile applications

Strunevich, E. Ju.; Detering-Koll, Ute; Quattelbaum, Bastian

doi:10.25367/cdatp.2020.1.p130-140

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…Article [34] is also devoted to a similar topic, in which, based on the analysis of available body scanning systems, it was found that they are a good technology for body assessments compared to manual measurement methods. In turn, in work [35], the results of body measurement using 3D body scanning mobile applications, 3D full-body scanning laser technology and the manual method were compared. As a result, it was found that even simple tools provide acceptable measurement accuracy and allow their use in certain industries.…”

Section: State Of the Art Reviewmentioning

confidence: 99%

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

Trojnacki¹,

Dąbek

Jaroszek³

2023

Sensors

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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.

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Section: State Of the Art Reviewmentioning

confidence: 99%

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

Trojnacki¹,

Dąbek

Jaroszek³

2023

Sensors

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“…A similar subject is addressed in the article [ 21 ], which presents the results of the research which showed that 3D scanners provide reproducible, accurate and reliable data that correlate well with the different techniques (including manual) used for the evaluation of body measurements. In turn, work [ 22 ] presents the results of the investigation in the field of measurement accuracy of 3D body scanning mobile applications, also comparing them with the traditional manual measuring method. On the basis of the conducted research, it was found that the investigated applications provide acceptable measurement accuracy of the human body in the analyzed application.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Influence of the Geometrical Parameters of the Body Scanner on the Accuracy of Reconstruction of the Human Figure Using the Photogrammetry Technique

Trojnacki¹,

Dąbek

Jaroszek³

2022

Sensors

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This article concerns the research of the HUBO full-body scanner, which includes the analysis and selection of the scanner’s geometrical parameters in order to obtain the highest possible accuracy of the reconstruction of a human figure. In the scanner version analyzed in this paper, smartphone cameras are used as sensors. In order to process the collected photos into a 3D model, the photogrammetry technique is applied. As part of the work, dependencies between the geometrical parameters of the scanner are derived, which allows to significantly reduce the number of degrees of freedom in the selection of its geometrical parameters. Based on these dependencies, a numerical analysis is carried out, as a result of which the initial values of the geometrical parameters are pre-selected and distribution of scanner cameras is visualized. As part of the experimental research, the influence of selected scanner parameters on the scanning accuracy is analyzed. For the experimental research, a specially prepared dummy was used instead of the participation of a real human, which allowed to ensure the constancy of the scanned object. The accuracy of the object reconstruction was assessed in relation to the reference 3D model obtained with a scanner of superior measurement uncertainty. On the basis of the conducted research, a method for the selection of the scanner’s geometrical parameters was finally verified, leading to the arrangement of cameras around a human, which guarantees high accuracy of the reconstruction. Additionally, to quantify the results, the quality rates were used, taking into account not only the obtained measurement uncertainty of the scanner, but also the processing time and the resulting efficiency.

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Detection of body shape changes in obesity monitoring using image processing techniques

Ergün,

Aktepe,

Koca

2024

Sci Rep

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Body measurements are primarily made with a tape measure. In measurements taken with a tape measure, the inability to take measurements from the same part of the body each time, incorrect positioning of the tape measure, the occurrence of incorrect measurements, and the need for a person to take the measurements are significant problems in the traditional measurement method. Due to the social distancing rule that must be followed during the Covid-19 pandemic, the close contact between the person to be measured and the person taking the measurement became the starting point of this study. This study focuses on the detecting body shape changes using image processing techniques with 2D imaging. The novelty of the work is that non-contact body measurements are taken more accurately and reliably using the cosine theorem. Regular monitoring of obese patients is important in combating obesity, which is also the source of many health problems. In the monitoring of obese patients, it is necessary to determine the rate of slimming in areas where fat accumulation is intense. The error margin between the real measurements of human models and the calculated measurements was calculated as an average of ± 5.16% for waistline and an average of ± 4.58% for hip size. The cosine theorem was used instead of the ellipse formula used in the literature, and it was observed that the cosine theorem obtained results closer to reality. It is also thought that the developed system will be beneficial not only for extracting body measurements but also for extracting body measurements contactless in the textile sector. The study demonstrates the feasibility of image processing for non-contact body anthropometry and shape tracking.

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Investigation of usability and measurement accuracy of 3D body scanning mobile applications

Cited by 3 publications

References 2 publications

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

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

Analysis of the Influence of the Geometrical Parameters of the Body Scanner on the Accuracy of Reconstruction of the Human Figure Using the Photogrammetry Technique

Detection of body shape changes in obesity monitoring using image processing techniques

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