Global Positioning System Watches for Estimating Energy Expenditure

Hongu, Nobuko; Orr, Barron J.; Roe, Denise J.; Reed, Rebecca; Going, Scott B.

doi:10.1519/jsc.0b013e31828bae0f

Cited by 18 publications

(12 citation statements)

References 25 publications

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“…To the best of our knowledge, no study has systematically examined low-cost GPS receivers' accuracy for such estimations. Although a few studies have used GPS receivers to estimate EE during outdoor walking, none of these studies have included all the required methodological conditions (13,14,22,33). Importantly, the experimental constraint of finding outdoor pathways that include both different grades and sufficient distance to achieve a steady state at different walking speeds can be highly challenging.…”

Section: New and Noteworthymentioning

confidence: 99%

Predicting metabolic rate during level and uphill outdoor walking using a low-cost GPS receiver

Müllenheim

Dumond

Gernigon

et al. 2016

Journal of Applied Physiology

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The objective of this study was to assess the accuracy of using speed and grade data obtained from a low-cost global positioning system (GPS) receiver to estimate metabolic rate (MR) during level and uphill outdoor walking. Thirty young, healthy adults performed randomized outdoor walking for 6-min periods at 2.0, 3.5, and 5.0 km/h and on three different grades: 1) level walking, 2) uphill walking on a 3.7% mean grade, and 3) uphill walking on a 10.8% mean grade. The reference MR [metabolic equivalents (METs) and oxygen uptake (V̇o2)] values were obtained using a portable metabolic system. The speed and grade were obtained using a low-cost GPS receiver (1-Hz recording). The GPS grade (Δ altitude/distance walked) was calculated using both uncorrected GPS altitude data and GPS altitude data corrected with map projection software. The accuracy of predictions using reference speed and grade (actual[SPEED/GRADE]) data was high [R(2) = 0.85, root-mean-square error (RMSE) = 0.68 MET]. The accuracy decreased when GPS speed and uncorrected grade (GPS[UNCORRECTED]) data were used, although it remained substantial (R(2) = 0.66, RMSE = 1.00 MET). The accuracy was greatly improved when the GPS speed and corrected grade (GPS[CORRECTED]) data were used (R(2) = 0.82, RMSE = 0.79 MET). Published predictive equations for walking MR were also cross-validated using actual or GPS speed and grade data when appropriate. The prediction accuracy was very close when either actual[SPEED/GRADE] values or GPS[CORRECTED] values (for level and uphill combined) or GPS speed values (for level walking only) were used. These results offer promising research and clinical applications related to the assessment of energy expenditure during free-living walking.

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Section: New and Noteworthymentioning

confidence: 99%

Predicting metabolic rate during level and uphill outdoor walking using a low-cost GPS receiver

Müllenheim

Dumond

Gernigon

et al. 2016

Journal of Applied Physiology

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“…Another example of user customisation and user-generated content offered by products in our survey is MovesCount App Zone, Suunto’s Ambit GPS watches companion app community and apps [19]. These sports apps, although not proper games as such, enable users to customise their GPS watches and to interactively define the parameters of their workout without any programming tools or knowledge.…”

Section: Discussionmentioning

confidence: 99%

Exergames for health and fitness: the roles of GPS and geosocial apps

2013

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Large numbers of children and adolescents in Canada, UK and USA are not getting their recommended daily dose of moderate to vigorous physical activity, and are thus more prone to obesity and its ill health effects. Exergames (video games that require physical activity to play) are rapidly gaining user acceptance, and may have the potential to increase physical activity levels among young people. Mobile exergames for GPS (global positioning system)-enabled smartphones and mini-tablets take players outdoors, in the open air, unlike console exergames, e.g., Xbox 360 Kinect exergames, which limit players to playing indoors in front of a TV set. In this paper and its companion ‘Additional file 1’, we review different examples of GPS exergames and of gamified geosocial apps and gadgets (mobile, location-aware apps and devices with social and gamification features), and briefly discuss some of the issues surrounding their use. Further research is needed to document best practices in this area, quantify the exact health and fitness benefits of GPS exergames and apps (under different settings and scenarios), and find out what is needed to improve them and the best ways to promote their adoption by the public.

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“…96,97 Compared with accelerometers, GPS units significantly underestimate PA (i.e., EE). 98 There have been suggestions to use GPS in combination with HR monitors and accelerometry. 97,99 Multisensor devices utilize multiple physiological and mechanical sensors in combination to improve precision of PA and EE measurements.…”

Section: Device-based Physical Activity Assessment Toolsmentioning

confidence: 99%

Dietary Intake and Physical Activity Assessment: Current Tools, Techniques, and Technologies for Use in Adult Populations

McClung

Ptomey

Shook

et al. 2018

American Journal of Preventive Medicine

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Accurate assessment of dietary intake and physical activity is a vital component for quality research in public health, nutrition, and exercise science. However, accurate and consistent methodology for the assessment of these components remains a major challenge. Classic methods use self-report to capture dietary intake and physical activity in healthy adult populations. However, these tools, such as questionnaires or food and activity records and recalls, have been shown to underestimate energy intake and expenditure as compared with direct measures like doubly labeled water. This paper summarizes recent technological advancements, such as remote sensing devices, digital photography, and multisensor devices, which have the potential to improve the assessment of dietary intake and physical activity in free-living adults. This review will provide researchers with emerging evidence in support of these technologies, as well as a quick reference for selecting the "right-sized" assessment method based on study design, target population, outcome variables of interest, and economic and time considerations. Theme information: This article is part of a theme issue entitled Innovative Tools for Assessing Diet and Physical Activity for Health Promotion, which is sponsored by the North American branch of the International Life Sciences Institute.

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Global Positioning System Watches for Estimating Energy Expenditure

Cited by 18 publications

References 25 publications

Predicting metabolic rate during level and uphill outdoor walking using a low-cost GPS receiver

Predicting metabolic rate during level and uphill outdoor walking using a low-cost GPS receiver

Exergames for health and fitness: the roles of GPS and geosocial apps

Dietary Intake and Physical Activity Assessment: Current Tools, Techniques, and Technologies for Use in Adult Populations

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