scholarly journals Human Body 3D Posture Estimation Using Significant Points and Two Cameras

2014 ◽  
Vol 2014 ◽  
pp. 1-17 ◽  
Author(s):  
Chia-Feng Juang ◽  
Teng-Chang Chen ◽  
Wei-Chin Du
Keyword(s):  
Human Body ◽  
Color Space ◽  
Three Dimensional ◽  
The Body ◽  
Support Vector ◽  
Segmentation Method ◽  
Current Frame ◽  
Depth Sensors ◽  
Posture Estimation ◽  
Estimation System

This paper proposes a three-dimensional (3D) human posture estimation system that locates 3D significant body points based on 2D body contours extracted from two cameras without using any depth sensors. The 3D significant body points that are located by this system include the head, the center of the body, the tips of the feet, the tips of the hands, the elbows, and the knees. First, a linear support vector machine- (SVM-) based segmentation method is proposed to distinguish the human body from the background in red, green, and blue (RGB) color space. The SVM-based segmentation method uses not only normalized color differences but also included angle between pixels in the current frame and the background in order to reduce shadow influence. After segmentation, 2D significant points in each of the two extracted images are located. A significant point volume matching (SPVM) method is then proposed to reconstruct the 3D significant body point locations by using 2D posture estimation results. Experimental results show that the proposed SVM-based segmentation method shows better performance than other gray level- and RGB-based segmentation approaches. This paper also shows the effectiveness of the 3D posture estimation results in different postures.

scholarly journals Human body-fluid proteome: quantitative profiling and computational prediction

2020 ◽  
Author(s):  
Lan Huang ◽  
Dan Shao ◽  
Yan Wang ◽  
Xueteng Cui ◽  
Yufei Li ◽  
...  
Keyword(s):  
High Throughput ◽  
Human Body ◽  
Body Fluid ◽  
Biomarker Discovery ◽  
Interaction Network ◽  
Computational Prediction ◽  
Computational Effort ◽  
The Body ◽  
Support Vector ◽  
Learning Approaches

Abstract Empowered by the advancement of high-throughput bio technologies, recent research on body-fluid proteomes has led to the discoveries of numerous novel disease biomarkers and therapeutic drugs. In the meantime, a tremendous progress in disclosing the body-fluid proteomes was made, resulting in a collection of over 15 000 different proteins detected in major human body fluids. However, common challenges remain with current proteomics technologies about how to effectively handle the large variety of protein modifications in those fluids. To this end, computational effort utilizing statistical and machine-learning approaches has shown early successes in identifying biomarker proteins in specific human diseases. In this article, we first summarized the experimental progresses using a combination of conventional and high-throughput technologies, along with the major discoveries, and focused on current research status of 16 types of body-fluid proteins. Next, the emerging computational work on protein prediction based on support vector machine, ranking algorithm, and protein–protein interaction network were also surveyed, followed by algorithm and application discussion. At last, we discuss additional critical concerns about these topics and close the review by providing future perspectives especially toward the realization of clinical disease biomarker discovery.

Temperature profiles with respect to inhomogeneity and geometry of the human body

1988 ◽  
Vol 65 (3) ◽  
pp. 1110-1118 ◽  
Author(s):  
J. Werner ◽  
M. Buse
Keyword(s):  
Human Body ◽  
Three Dimensional ◽  
The Body ◽  
Physiological Data ◽  
Physical Parameters ◽  
Temperature Profiles ◽  
Metabolic Heat ◽  
Spatially Distributed ◽  
Adequate Representation ◽  
Neutral Conditions

Temperature profiles within the human body are highly dependent on the geometry and inhomogeneity of the body. Physical parameters such as density and heat conductivity of the various tissues and variables such as blood flow and metabolic heat production of different organs are spatially distributed and thereby influence the temperature profiles within the human body. Actual physiological knowledge allows one to take into account up to 54 different spatially distributed values for each parameter. An adequate representation of the anatomy of the body requires a spatial three-dimensional grid of at least 0.5-1.0 cm. This is achieved by photogrammetric treatment of three-dimensional anatomic models of the human body. As a first essential result, the simulation system has produced a realistic picture of the topography of temperatures under neutral conditions. Compatibility of reality and simulation was achieved solely on the basis of physical considerations and physiological data base. Therefore the simulation is suited to the extrapolation of temperature profiles that cannot be obtained experimentally.

The Muon as a Tool for Scanning the Interior of the Human Body

1969 ◽  
Vol 08 (04) ◽  
pp. 311-319 ◽  
Author(s):  
H. Daniel
Keyword(s):  
Chemical Analysis ◽  
Human Body ◽  
Three Dimensional ◽  
Simultaneous Recording ◽  
The Body ◽  
X Rays ◽  
Medium Energy ◽  
Pass Through ◽  
Dimensional Picture

SummaryA completely new technique for scanning the interior of the human body is proposed which is based on the following principle: muons from an accelerator pass through two spark chambers and are stopped in the body. The decay electrons leave the body and pass also two spark chambers. The trajectory co-ordinates read out from the spark chambers allow the determination of the point of decay with high precision. The truly three-dimensional picture obtained in this way is truly three-dimensionally displayed on a screen. Several modifications of the basic method are described, the most important ones being the simultaneous recording of the muonic X-rays (equivalent to a chemical analysis) or of the muon precession. The necessary dose is low. The most serious disadvantage is the need of a medium-energy accelerator. Quantitative figures on resolution, efficiency, and dose are given.

Patternmaking for middle-aged women's swimsuit applying 3D scan pattern development

2020 ◽  
Vol 32 (5) ◽  
pp. 743-759
Author(s):  
Hyunjung Han ◽  
Hyunsook Han ◽  
Taehoon Kim
Keyword(s):  
Human Body ◽  
Three Dimensional ◽  
The Body ◽  
Size Analysis ◽  
Middle Aged ◽  
Content Type ◽  
Aged Woman ◽  
Pattern Development ◽  
Body Shapes ◽  
Scan Pattern

PurposeThe purpose of this paper is to propose the swimsuit patternmaking method suitable for the body shapes of middle-aged women and to propose the swimsuit pattern development procedures that enable automated swimsuit patternmaking.Design/methodology/approachTo propose the patternmaking method of the swimsuit, which is suitable for the body shape of middle-aged women, the swimsuit patterns were developed in three stages in this study. The measurements of the middle-aged woman body model were compared with the size of the developed pattern in each stage, and the optimal stretch rate of the fabric was defined. In total, 22 items were used for size analysis of developed patterns in each stage.FindingsThe swimsuit patternmaking method proposed in this study was derived by considering the body shapes of middle-aged women, desired design and fabric characteristics. Also, a series of processes, including obtaining a raw pattern from the surface of the three-dimensional (3D) human body, designing patterns by the expert, evaluating patterns, drafting the final pattern and the final patternmaking method, was presented.Practical implicationsThis study has great significance to provide a manual of swimsuit patternmaking for middle-aged women, which has high tightness and movement compatibility.Originality/valueThe swimsuit patternmaking method proposed in this study is relatively simple because it is based on the human body measurements and delivers the lines and the calculated values clearly and objectively rather than the patterner's intuition does so that it is suitable for the automation of the swimsuit patternmaking for the middle-aged women.

scholarly journals Posture Estimation of a Human Body from Thermal Images of 2D Appearance Models of 3D Ellipsoidal Model

2009 ◽  
Vol 13 (3) ◽  
pp. 172-177 ◽  
Author(s):  
Mitsuhiro Hayase ◽  
◽  
Susumu Shimada ◽  
Keyword(s):  
Human Body ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Recognition Method ◽  
Thermal Images ◽  
New Model ◽  
Model Based ◽  
Ellipsoidal Model ◽  
Posture Estimation ◽  
Appearance Models

We propose a new model-based recognition method that involves the use of three-dimensional (3D) ellipsoidal models in various sizes and proportions as well as their two-dimensional (2D) appearance models. Most model-based vision is intended to recognize specified objects, and the model is specific to the object. However, our method can recognize various proportions of objects and was applied in posture estimation of the human body from thermal images.

Melatonin and the Optics of the Human Body

2019 ◽  
Vol 2 (1) ◽  
pp. 138-160 ◽  
Author(s):  
Scott Zimmerman ◽  
Russel.J. Reiter
Keyword(s):  
Free Radical ◽  
Pineal Gland ◽  
Human Body ◽  
Near Infrared ◽  
Three Dimensional ◽  
Cumulative Effect ◽  
The Body ◽  
Circulation System ◽  
Natural Sunlight ◽  
The Impact

Melatonin is fundamental to the lighting, display, and architectural industries as the primary biomarker used in circadian theory. Billions of dollars are being spent on research, product development, and marketing based on the impact of visible light on melatonin produced by the pineal gland. It has now been shown that the mitochondria produce melatonin in many cells in quantities which are orders of magnitude higher than that produced in the pineal gland. This subcellular melatonin does not necessarily fluctuate with our circadian clock or release into the circulation system, but instead has been proposed to be consumed locally in response to the free radical density within each cell, in particular in response to Near Infrared (NIR) exposure. The main point of this review hypothesizes that the subcellular melatonin is being produced in response to the NIR photons which make up the majority of natural sunlight. Given the number of cells and quantity of subcellular melatonin identified to date, it is reasonable to propose that the body produces and maintains a melatonin reservoir that is separate and apart from the circulatory melatonin generated by the pineal gland. To understand how sunlight may support or stimulate this antioxidant reservoir, it becomes necessary to quantify the free radical density in various parts of the human body. To do this, it is necessary to move away from two-dimensional empirical approaches and develop three-dimensional bio-optical models based on the underlying biological processes at play. Three-dimensional Mechanistic Bio-optical Models (MBM) of the skin, eye, and brain based on non-sequential optical ray tracing and Electron Spin Resonance (ESR) data clearly indicate that the NIR portion of natural sunlight provides the primary stimulus during the day to the majority of the cells in the human body, impacting over 60% of the cells in an adult body and 100% of the cells in the fetus and young children. It is also shown that optically, the human body, under the assumption of natural sunlight, has developed optical mechanisms to gather and localize NIR photons in the most sensitive areas of the human body: blood vessels, retina, brain, skin, and even the fetus.  That assumption is no longer valid in modern societies where the majority of our time is spent exposed to visible only lighting and displays, which emit zero NIR photons. Based on an optical and biological review of the literature and the MBM results, it is proposed that the NIR portion of natural sunlight stimulates an excess of antioxidants in each of our healthy cells and that the cumulative effect of this antioxidant reservoir is to enhance the body’s ability to rapidly and locally deal with changing conditions throughout the day. In this approach the role of circulatory melatonin produced by the pineal gland is to provide an efficient method of delivering supplemental melatonin during periods of low cellular activity and solar stimulus to damaged or aging cells in both diurnal and nocturnal animals. While circulatory melatonin may be the “Hormone of Darkness”, subcellular melatonin may be the “Hormone of Daylight”. 

Classification analysis of young female students’ waist–abdomen–hip based on body photos

2021 ◽  
Vol 91 (11-12) ◽  
pp. 1409-1418
Author(s):  
Xiaoyu Cai ◽  
Bingfei Gu ◽  
Huazhou He
Keyword(s):  
Human Body ◽  
Body Shape ◽  
Three Dimensional ◽  
3D Scanning ◽  
Young Female ◽  
The Body ◽  
Practical Significance ◽  
Main Body ◽  
Body Type ◽  
Young Females

To improve body-type classification research and personalized clothing, this study adopted a research method of “three-dimensional (3D) scanning + photos” for the body-shape classification of young females’ waist–abdomen–hip. A total of 178 female college students were recruited for manual, photo and 3D body measurement to get the main body information. Based on the data acquired from 3D scanning, the corresponding heights, angles and other parameters of the waist, abdomen and hip were selected and used to analyze the human body in two respects of shape and height. Then the body-shape indexes and the height indexes were respectively analyzed, and 16 shape characteristic indicators and four height characteristic parameters affecting the waist, abdomen and hip were extracted. Three types in shape and two types in height were obtained, and the main classification rules of the waist–abdomen–hip shape were also concluded to identify the body type based on the body measurements extracted from body photos, which realized the automatic body-type identification based on body photos. It was of great practical significance to provide a basis for personalized customization of fast clothing and the subdivision of the human body shape, which could meet the individual customer’s requirements.

scholarly journals HUMAN BODY MODELING TECHNOLOGIES FOR E-COMMERCE SYSTEMS

2021 ◽  
pp. 35-40
Author(s):  
Bogdan Litvinov ◽  
Mariia Bilova
Keyword(s):  
Human Body ◽  
3D Model ◽  
Research Work ◽  
Three Dimensional ◽  
The Body ◽  
Three Dimensional Model ◽  
Shopping Cart ◽  
Basic Set ◽  
Realistic Representation ◽  
The Face

Relevance of the research work is the analysis of the main features of 3D modeling for further implementation in e-commerce. Namely, the features ofcreating a human body 3D model with the ability to edit personal settings of individual parts of the body, as well as a basic set of clothes to provide amore realistic representation of the model. The features of the 3D model in general were considered in this article. The mathematical analysis of the 3Dgraphics rendering on the 2D monitor and the possibilities of control and editing of such models have been presented. The developed software productallows the user to create an anatomical three-dimensional model of the human body and then adjust it to his needs. The user can apply on createdmodel variety of settings, namely more than 15 different views, with a full package of changes. It is possible to change the size, color of hair,eyebrows, eyes, face, body, legs. Also, the user is able to select the levels of skeletal frame views and additionally can select different backgrounds toprovide a more realistic representation of the model in space. Additional functionality was implemented for more flexible configuration of the model’sface. The user can pre-determine points to select directions or sizes of different parts of the face using settings, displayed on the mouse or touchpadcontrol. After adjustments, the user is able to manage the clothes that he had saved in the shopping cart from the online store, from which he laterproceeded to the online fitting. After the fitting the user can test the creation of animations in 360 degrees of free movement. Finally, the user can go tothe store to pay for the items he left in the shopping cart. Developed software allows improving main metrics of the on-line stores, which has a positiveimpact on increasing the growth of earnings.

scholarly journals Improving Inverse Dynamics Accuracy in a Planar Walking Model Based on Stable Reference Point

2014 ◽  
Vol 2014 ◽  
pp. 1-9
Author(s):  
Alaa Abdulrahman ◽  
Kamran Iqbal ◽  
Gannon White
Keyword(s):  
Human Body ◽  
Reference Point ◽  
Degrees Of Freedom ◽  
Inverse Dynamics ◽  
Equations Of Motion ◽  
Three Dimensional ◽  
The Body ◽  
Sensor Position ◽  
Reaction Forces ◽  
The Cost

Physiologically and biomechanically, the human body represents a complicated system with an abundance of degrees of freedom (DOF). When developing mathematical representations of the body, a researcher has to decide on how many of those DOF to include in the model. Though accuracy can be enhanced at the cost of complexity by including more DOF, their necessity must be rigorously examined. In this study a planar seven-segment human body walking model with single DOF joints was developed. A reference point was added to the model to track the body’s global position while moving. Due to the kinematic instability of the pelvis, the top of the head was selected as the reference point, which also assimilates the vestibular sensor position. Inverse dynamics methods were used to formulate and solve the equations of motion based on Newton-Euler formulae. The torques and ground reaction forces generated by the planar model during a regular gait cycle were compared with similar results from a more complex three-dimensional OpenSim model with muscles, which resulted in correlation errors in the range of 0.9–0.98. The close comparison between the two torque outputs supports the use of planar models in gait studies.

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