Automated anthropometric phenotyping with novel Kinect-based three-dimensional imaging method: comparison with a reference laser imaging system

Soileau, L; Bautista, David Gonzalez; Johnson, Christopher W.; Gao, Chenfei; Zhang, K; Li, Xin; Heymsfield, Steven B.; Thomas, Diana M.; Zheng, Jolene

doi:10.1038/ejcn.2015.132

Cited by 45 publications

(56 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Traditional anthropometric measurements of body size and shape, including body mass index (BMI), various girths, body segmental circumferences, and mid-sagittal diameter are surrogates for adiposity and are associated with graded risks of cardio-metabolic disease [22,28]. Photonic imaging of the body with lasers, lights and cameras enables the generation of three-dimensional (3D) body outline images or shapes [29].…”

Section: Discussionmentioning

confidence: 99%

A Smartphone Application for Personal Assessments of Body Composition and Phenotyping

Farina

Spataro

Lorenzo

et al. 2016

Sensors

View full text Add to dashboard Cite

Personal assessments of body phenotype can enhance success in weight management but are limited by the lack of availability of practical methods. We describe a novel smart phone application of digital photography (DP) and determine its validity to estimate fat mass (FM). This approach utilizes the percent (%) occupancy of an individual lateral whole-body digital image and regions indicative of adipose accumulation associated with increased risk of cardio-metabolic disease. We measured 117 healthy adults (63 females and 54 males aged 19 to 65 years) with DP and dual X-ray absorptiometry (DXA) and report here the development and validation of this application. Inter-observer variability of the determination of % occupancy was 0.02%. Predicted and reference FM values were significantly related in females (R2 = 0.949, SEE = 2.83) and males (R2 = 0.907, SEE = 2.71). Differences between predicted and measured FM values were small (0.02 kg, p = 0.96 and 0.07 kg, p = 0.96) for females and males, respectively. No significant bias was found; limits of agreement ranged from 5.6 to −5.4 kg for females and from 5.6 to −5.7 kg for males. These promising results indicate that DP is a practical and valid method for personal body composition assessments.

show abstract

Section: Discussionmentioning

confidence: 99%

A Smartphone Application for Personal Assessments of Body Composition and Phenotyping

Farina

Spataro

Lorenzo

et al. 2016

Sensors

View full text Add to dashboard Cite

show abstract

“…Another rapidly developing field involves a broad area largely encompassed by “photogrammetry” methods that capture body shape and dimensions from surface mapping technologies ranging from 3D whole-body laser systems [85] to cellular telephone cameras [86, 87]. All of these approaches share in common the derivation of body volumes, linear dimensions, and circumferences that are used to predict whole body and regional fat mass.…”

Section: Extending Techniques To Early Life Measurementsmentioning

confidence: 99%

Emerging Technologies and their Applications in Lipid Compartment Measurement

Heymsfield

Shen

et al. 2015

Trends in Endocrinology & Metabolism

View full text Add to dashboard Cite

Non-Communicable diseases (NCDs), including obesity, are emerging as the major health concern of the 21st century. Excess adiposity and related NCD metabolic disturbances have stimulated development of new lipid compartment measurement technologies to help us understand cellular energy exchange, to refine phenotypes, and to develop predictive markers of adverse clinical outcomes. Recent advances now allow for quantification of multiple intracellular lipid and adipose tissue compartments that can be evaluated across the human lifespan. With magnetic resonance methods leading the way, newer approaches will give molecular structural and metabolic information beyond the laboratory in real-world settings. The union between these new technologies and the growing NCD population is creating an exciting interface advancing our understanding of chronic disease mechanisms.

show abstract

“…Its abilities were also confirmed by tests done by the Microsoft company [19] and other independent studies [14]. In particular, it was confirmed in medical applications [15,17].…”

Section: New Dedicated Hci Systemmentioning

confidence: 57%

“…The article [15] includes the description of anthropometry for measuring body composition in human clinical research and practice. It is worth noticing that in order to recognize the location, Kinect does not require a patient to wear additional hardware that could limit his/her movement [16].…”

Section: Introductionmentioning

confidence: 99%

Gesture controlled human–computer interface for the disabled

Szczepaniak

Sawicki

2017

Med Pr

View full text Add to dashboard Cite

Background: The possibility of using a computer by a disabled person is one of the difficult problems of the human-computer interaction (HCI), while the professional activity (employment) is one of the most important factors affecting the quality of life, especially for disabled people. The aim of the project has been to propose a new HCI system that would allow for resuming employment for people who have lost the possibility of a standard computer operation. Material and Methods: The basic requirement was to replace all functions of a standard mouse without the need of performing precise hand movements and using fingers. The Microsoft's Kinect motion controller had been selected as a device which would recognize hand movements. Several tests were made in order to create optimal working environment with the new device. The new communication system consisted of the Kinect device and the proper software had been built. Results: The proposed system was tested by means of the standard subjective evaluations and objective metrics according to the standard ISO 9241-411:2012. The overall rating of the new HCI system shows the acceptance of the solution. The objective tests show that although the new system is a bit slower, it may effectively replace the computer mouse. Conclusions: The new HCI system fulfilled its task for a specific disabled person. This resulted in the ability to return to work. Additionally, the project confirmed the possibility of effective but nonstandard use of the Kinect device.

show abstract

Automated anthropometric phenotyping with novel Kinect-based three-dimensional imaging method: comparison with a reference laser imaging system

Abstract: Low-cost 3D Kinect-based imaging systems have the potential for providing automated accurate anthropometric and related body measurements for relatively large components; further hardware and software developments may be able to improve system small-component resolution.

Cited by 45 publications

References 23 publications

A Smartphone Application for Personal Assessments of Body Composition and Phenotyping

A Smartphone Application for Personal Assessments of Body Composition and Phenotyping

Emerging Technologies and their Applications in Lipid Compartment Measurement

Gesture controlled human–computer interface for the disabled

Contact Info

Product

Resources

About