A Wearable Electronic System for Objective Dietary Assessment

Sun, Mingui; Fernstrom, John D.; Jia, Wenyan; Hackworth, Steven A.; Yao, Ning; Li, Yuecheng; Li, Chengliu; Fernstrom, Madelyn H.; Sclabassi, R.J.

doi:10.1016/j.jada.2009.10.013

Cited by 143 publications

(97 citation statements)

References 4 publications

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“…The images were automatically encrypted upon taking and therefore safely sent via email from participants. Upon retrieval, the images were de-encrypted and de-identified (visible faces blurred using specialized software) by study staff in preparation for analysis [14,15,34].…”

Section: Ebutton Description and Proceduresmentioning

confidence: 99%

“…requires no volitional effort to initiate assessment once the device has been successfully turned on) of diet, physical activity and lifestyle behaviors for both adults and children. It uses a small camera located on the chest to take images at four-second intervals throughout the day [34]. Analysis of these images has been used to objectively assess children's dietary intake [15].…”

Section: Introductionmentioning

confidence: 99%

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Utility of eButton images for identifying food preparation behaviors and meal-related tasks in adolescents

Raber

Patterson

Jia

et al. 2018

Nutr J

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Background: Food preparation skills may encourage healthy eating. Traditional assessment of child food preparation employs self-or parent proxy-reporting methods, which are prone to error. The eButton is a wearable all-day camera that has promise as an objective, passive method for measuring child food preparation practices. Purpose: This paper explores the feasibility of the eButton to reliably capture home food preparation behaviors and practices in a sample of pre-and early adolescents (ages 9 to 13). Methods: This is a secondary analysis of two eButton pilot projects evaluating the dietary intake of pre-and early adolescents in or around Houston, Texas. Food preparation behaviors were coded into seven major categories including: browsing, altering food/adding seasoning, food media, meal related tasks, prep work, cooking and observing. Inter-coder reliability was measured using Cohen's kappa and percent agreement.

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Section: Ebutton Description and Proceduresmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Utility of eButton images for identifying food preparation behaviors and meal-related tasks in adolescents

Raber

Patterson

Jia

et al. 2018

Nutr J

Self Cite

View full text Add to dashboard Cite

show abstract

“…It houses a CPU, storage components, a wide-angle digital camera module, and an array of sensors in a small form factor. Sun et al suggested the use of the eButton for objective dietary assessment [23], and Zhang et al implemented an activity recognition system from video segments captured with the eButton [26].…”

Section: Related Workmentioning

confidence: 99%

Feasibility of identifying eating moments from first-person images leveraging human computation

Thomaz

Parnami

Essa

et al. 2013

Proceedings of the 4th International SenseCam &Amp; Pervasive Imaging Conference on - SenseCam '13

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There is widespread agreement in the medical research community that more effective mechanisms for dietary assessment and food journaling are needed to fight back against obesity and other nutrition-related diseases. However, it is presently not possible to automatically capture and objectively assess an individual's eating behavior. Currently used dietary assessment and journaling approaches have several limitations; they pose a significant burden on individuals and are often not detailed or accurate enough. In this paper, we describe an approach where we leverage human computation to identify eating moments in first-person point-of-view images taken with wearable cameras. Recognizing eating moments is a key first step both in terms of automating dietary assessment and building systems that help individuals reflect on their diet. In a feasibility study with 5 participants over 3 days, where 17,575 images were collected in total, our method was able to recognize eating moments with 89.68% accuracy.

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“…Dietary assessment can now be assessed with an Automated SelfAdministered 24-Hour Dietary Recall. 76,77 In addition, integration of cell phone and digital imaging, 78,79 as well as wearable camera and voice recognition, has been developed to collect dietary intake. 80 Laboratory experiments have been conducted to show that multiple sensors (e.g., accelerometers, infrared and ultraviolet light, and global positioning systems) located on different body parts can measure physical activity or sedentary behaviors unobtrusively in real-life settings.…”

Section: Using Novel Technologiesmentioning

confidence: 99%

Stimulating Innovations in the Measurement of Parenting Constructs

Mâsse

Watts

2013

Childhood Obesity

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Parents can play a crucial role in the development of children's behaviors associated with dietary habits, physical activity, and sedentary lifestyles. Many parenting practices and/or styles measures have been developed; however, there is little agreement as to how the influence of parenting should be measured. More importantly, our ability to relate parenting practices and/or styles to children's behaviors depends on its accurate assessment. While there is a need to standardize our assessment to further advance knowledge in this area, this article will discuss areas that may stimulate advances in the measurement of parenting constructs. Because self-report measures are important for the assessment of parenting, this article discusses whether solutions to improve selfreport measures may lie in: (1) Improving the questions asked; (2) improving the methods used to correct for social desirability or measurement errors; (3) changing our measurement paradigm to assess implicit parenting behaviors; (4) changing how self-report is collected by taking advantage of ecological momentary assessment methods; (5) using better psychometric methods to validate parenting measures or alternatively using advances in psychometric methods, such as item banking and computerized adaptive testing, to solve common administration issues (i.e., response burden and comparability of results across studies); and (6) employing novel technologies to collect data such as portable technologies, gaming, and virtual reality simulation. This article will briefly discuss the potential of technologies to measure parenting constructs.

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A Wearable Electronic System for Objective Dietary Assessment

Cited by 143 publications

References 4 publications

Utility of eButton images for identifying food preparation behaviors and meal-related tasks in adolescents

Utility of eButton images for identifying food preparation behaviors and meal-related tasks in adolescents

Feasibility of identifying eating moments from first-person images leveraging human computation

Stimulating Innovations in the Measurement of Parenting Constructs

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