scholarly journals 3D Technologies to Acquire and Visualize the Human Body for Improving Dietetic Treatment

Proceedings ◽  
2019 ◽  
Vol 31 (1) ◽  
pp. 53 ◽  
Author(s):  
Andrés Fuster-Guilló ◽  
Jorge Azorín-López ◽  
Juan Miguel Castillo Zaragoza ◽  
Luis Fernando Pérez Pérez ◽  
Marcelo Saval-Calvo ◽  
...  
Keyword(s):  
3D Model ◽  
State Of The Art ◽  
Body Awareness ◽  
High Accuracy ◽  
The Body ◽  
Adherence To Treatment ◽  
Nutritional Treatment ◽  
3D Data ◽  
Multimedia Technologies ◽  
Realistic Visualization

This research aims to improve adherence to dietetic-nutritional treatment using state-of-the-art RGB-D sensor and virtual reality (VR) technology. Recent studies show that adherence to treatment can be improved by using multimedia technologies which impact on the body awareness of patients. However, there are no studies published to date using 3D data and VR technologies for this purpose. This paper describes a system capable of obtaining the complete 3D model of a body with high accuracy and a realistic visualization for 2D and VR devices to be used for studying the effect of 3D technologies on adherence to obesity treatment.

scholarly journals RGB-D-Based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3690
Author(s):  
Andrés Fuster-Guilló ◽  
Jorge Azorín-López ◽  
Marcelo Saval-Calvo ◽  
Juan Miguel Castillo-Zaragoza ◽  
Nahuel Garcia-D’Urso ◽  
...  
Keyword(s):  
Human Body ◽  
Low Cost ◽  
Dietary Treatment ◽  
3D Models ◽  
Obesity Treatment ◽  
The Body ◽  
3D Data ◽  
Real Objects ◽  
Multimedia Technologies ◽  
Treatment Of Obesity

This research aims to improve dietetic-nutritional treatment using state-of-the-art RGB-D sensors and virtual reality (VR) technology. Recent studies show that adherence to treatment can be improved using multimedia technologies. However, there are few studies using 3D data and VR technologies for this purpose. On the other hand, obtaining 3D measurements of the human body and analyzing them over time (4D) in patients undergoing dietary treatment is a challenging field. The main contribution of the work is to provide a framework to study the effect of 4D body model visualization on adherence to obesity treatment. The system can obtain a complete 3D model of a body using low-cost technology, allowing future straightforward transference with sufficient accuracy and realistic visualization, enabling the analysis of the evolution (4D) of the shape during the treatment of obesity. The 3D body models will be used for studying the effect of visualization on adherence to obesity treatment using 2D and VR devices. Moreover, we will use the acquired 3D models to obtain measurements of the body. An analysis of the accuracy of the proposed methods for obtaining measurements with both synthetic and real objects has been carried out.

Choir

2017 ◽  
Author(s):  
Paula Pryce
Keyword(s):  
Formal Group ◽  
Body Awareness ◽  
The Body ◽  
Body Of Christ ◽  
Contemplative Practice ◽  
Ritual Action ◽  
Important Relationship ◽  
Positive Knowledge

Expanding on the notion of “keeping intention,” introduced in Chapter 2, Chapter 5 shows how contemplative Christians refine their capacity to “keep attention” and cultivate “contemplative senses” through formal group rituals, body awareness techniques, and the construction of aesthetic environments. It notes the contemplative Christian concept of the Body of Christ in which individual bodies and the collective body are perceived as interconnected entities with expandable and contractible boundaries. The chapter describes the monastic Daily Office and how non-monastic contemplatives adapt monastic rites to their lives outside monasteries. Introducing the important relationship between agency and habitus in contemplative practice, the chapter also develops a model that explicates the process of changing perception, called “contemplative transformation,” as an ever-moving ritualization between “posture” (intentional cataphatic ritual action and positive knowledge) and “flow” (apophatic, ambiguous “inner gestures” and “unknowing”).

scholarly journals The Degree of Oxidation of Graphene Oxide

Nanomaterials ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 560
Author(s):  
Alexandra Carvalho ◽  
Mariana C. F. Costa ◽  
Valeria S. Marangoni ◽  
Pei Rou Ng ◽  
Thi Le Hang Nguyen ◽  
...  
Keyword(s):  
Graphene Oxide ◽  
Ab Initio ◽  
State Of The Art ◽  
High Accuracy ◽  
Precise Determination ◽  
Photoemission Spectroscopy ◽  
Pristine Graphene ◽  
X Ray ◽  
Degree Of Oxidation

We show that the degree of oxidation of graphene oxide (GO) can be obtained by using a combination of state-of-the-art ab initio computational modeling and X-ray photoemission spectroscopy (XPS). We show that the shift of the XPS C1s peak relative to pristine graphene, ΔEC1s, can be described with high accuracy by ΔEC1s=A(cO−cl)2+E0, where c0 is the oxygen concentration, A=52.3 eV, cl=0.122, and E0=1.22 eV. Our results demonstrate a precise determination of the oxygen content of GO samples.

scholarly journals Electro-Quasistatic Animal Body Communication for Untethered Rodent Biopotential Recording

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Shreeya Sriram ◽  
Shitij Avlani ◽  
Matthew P. Ward ◽  
Shreyas Sen
Keyword(s):  
Lower Energy ◽  
Sensor Node ◽  
State Of The Art ◽  
The Body ◽  
Animal Body ◽  
Current State ◽  
Communication Modalities ◽  
First Time ◽  
Biopotential Recording

AbstractContinuous multi-channel monitoring of biopotential signals is vital in understanding the body as a whole, facilitating accurate models and predictions in neural research. The current state of the art in wireless technologies for untethered biopotential recordings rely on radiative electromagnetic (EM) fields. In such transmissions, only a small fraction of this energy is received since the EM fields are widely radiated resulting in lossy inefficient systems. Using the body as a communication medium (similar to a ’wire’) allows for the containment of the energy within the body, yielding order(s) of magnitude lower energy than radiative EM communication. In this work, we introduce Animal Body Communication (ABC), which utilizes the concept of using the body as a medium into the domain of untethered animal biopotential recording. This work, for the first time, develops the theory and models for animal body communication circuitry and channel loss. Using this theoretical model, a sub-inch$$^3$$ 3 [1″ × 1″ × 0.4″], custom-designed sensor node is built using off the shelf components which is capable of sensing and transmitting biopotential signals, through the body of the rat at significantly lower powers compared to traditional wireless transmissions. In-vivo experimental analysis proves that ABC successfully transmits acquired electrocardiogram (EKG) signals through the body with correlation $$>99\%$$ > 99 % when compared to traditional wireless communication modalities, with a 50$$\times$$ × reduction in power consumption.

scholarly journals Towards Scalable Economic Photovoltaic Potential Analysis Using Aerial Images and Deep Learning

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3800
Author(s):  
Sebastian Krapf ◽  
Nils Kemmerzell ◽  
Syed Khawaja Haseeb Khawaja Haseeb Uddin ◽  
Manuel Hack Hack Vázquez ◽  
Fabian Netzler ◽  
...  
Keyword(s):  
Deep Learning ◽  
System Analysis ◽  
State Of The Art ◽  
Critical Role ◽  
Semantic Segmentation ◽  
Energy System ◽  
Aerial Images ◽  
Potential Analysis ◽  
3D Data ◽  
Challenges And Opportunities

Roof-mounted photovoltaic systems play a critical role in the global transition to renewable energy generation. An analysis of roof photovoltaic potential is an important tool for supporting decision-making and for accelerating new installations. State of the art uses 3D data to conduct potential analyses with high spatial resolution, limiting the study area to places with available 3D data. Recent advances in deep learning allow the required roof information from aerial images to be extracted. Furthermore, most publications consider the technical photovoltaic potential, and only a few publications determine the photovoltaic economic potential. Therefore, this paper extends state of the art by proposing and applying a methodology for scalable economic photovoltaic potential analysis using aerial images and deep learning. Two convolutional neural networks are trained for semantic segmentation of roof segments and superstructures and achieve an Intersection over Union values of 0.84 and 0.64, respectively. We calculated the internal rate of return of each roof segment for 71 buildings in a small study area. A comparison of this paper’s methodology with a 3D-based analysis discusses its benefits and disadvantages. The proposed methodology uses only publicly available data and is potentially scalable to the global level. However, this poses a variety of research challenges and opportunities, which are summarized with a focus on the application of deep learning, economic photovoltaic potential analysis, and energy system analysis.

scholarly journals A Machine Vision Approach for Bioreactor Foam Sensing

2021 ◽  
pp. 247263032110088
Author(s):  
Jonas Austerjost ◽  
Robert Söldner ◽  
Christoffer Edlund ◽  
Johan Trygg ◽  
David Pollard ◽  
...  
Keyword(s):  
Machine Learning ◽  
Machine Vision ◽  
State Of The Art ◽  
Low Cost ◽  
High Accuracy ◽  
Consumer Electronics ◽  
Learning System ◽  
Automotive Applications ◽  
Fine Grained

Machine vision is a powerful technology that has become increasingly popular and accurate during the last decade due to rapid advances in the field of machine learning. The majority of machine vision applications are currently found in consumer electronics, automotive applications, and quality control, yet the potential for bioprocessing applications is tremendous. For instance, detecting and controlling foam emergence is important for all upstream bioprocesses, but the lack of robust foam sensing often leads to batch failures from foam-outs or overaddition of antifoam agents. Here, we report a new low-cost, flexible, and reliable foam sensor concept for bioreactor applications. The concept applies convolutional neural networks (CNNs), a state-of-the-art machine learning system for image processing. The implemented method shows high accuracy for both binary foam detection (foam/no foam) and fine-grained classification of foam levels.

ANALISIS MODEL 3D DATA GAYA BERAT DALAM KEGAGALAN PEMBORAN SUMUR RESERVOAR MINYAK DI AREA X

2020 ◽  
Vol 2 (2) ◽  
pp. 62-68
Author(s):  
Ahmad Jahrudin ◽  
Pradityo Riyadi
Keyword(s):  
3D Modeling ◽  
3D Model ◽  
Oil And Gas ◽  
Gravity Data ◽  
Production Well ◽  
Log Data ◽  
3D Data ◽  
Area X

The exploration of oil and gas, especially in Indonesia is experiencing various challenges and varying degrees of difficulty. In this research, the researcher tries to make a 3D modeling from gravity data, where the model will show a structure to determine the central coordinates for drilling. Pertamina has carried out drilling at a location in NTT and it turns out that the well does not produce oil and gas, even though the log data reads an oil showing that the area should have the prospect of producing oil, but the wells that have been drilled do not show any oil or gas, therefore the researchers tried to make a 3D model determine the structure around the production well. In this research, it was seen that the area of the previous drilling point had deviated from the top of the up dome and it was also seen in this structure that the area was deviated by about 3 kilometers and depth must exceed 526 m, the researcher concluded that the drilling point must be at X, Y coordinates.

scholarly journals The body self-awareness among women practicing fitness: a preliminary study

2015 ◽  
Vol 46 (1) ◽  
pp. 104-111 ◽  
Author(s):  
Anna Brytek-Matera ◽  
Anna Kozieł
Keyword(s):  
Body Awareness ◽  
The Body ◽  
Interoceptive Awareness ◽  
Self Awareness ◽  
Body Attitude ◽  
Attitude Test ◽  
Preliminary Study ◽  
Body Self ◽  
Body Attitude Test ◽  
The Relationship

Abstract The purposes of the present study were to explore the relationship between body awareness and negative body attitude, interoceptive body awareness and physical self in women practicing fitness as well as to analyze the determinants of body awareness. The Body Awareness Questionnaire, the Multidimensional Assessment of Interoceptive Awareness, the Physical Self-Description Questionnaire and the Body Attitude Test were applied to 43 women practicing fitness and 32 non-fitness practitioners. Bodily self-awareness was connected with greater fitness practitioners’ interoceptive body awareness and greater physical self. Noticing and global esteem predicted body awareness in women practicing fitness.

Analyzing Movements Development and Evaluation of the Body Awareness Scale Movement Quality (BAS MQ)

2014 ◽  
Vol 21 (2) ◽  
pp. 70-76 ◽  
Author(s):  
A. Sundén ◽  
C. Ekdahl ◽  
V. Horstman ◽  
A. L. Gyllensten
Keyword(s):  
Body Awareness ◽  
The Body ◽  
Movement Quality
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