Daily physical activity assessment with accelerometers: new insights and validation studies
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TLDR
There was a large variability in accelerometer output and their validity to assess daily physical activity and there is little evidence that adding other physiological measures such as heart rate significantly improves the estimation of energy expenditure.Abstract:
The field of application of accelerometry is diverse and ever expanding. Because by definition all physical activities lead to energy expenditure, the doubly labelled water (DLW) method as gold standard to assess total energy expenditure over longer periods of time is the method of choice to validate accelerometers in their ability to assess daily physical activities. The aim of this paper was to provide a systematic overview of all recent (2007-2011) accelerometer validation studies using DLW as the reference. The PubMed Central database was searched using the following keywords: doubly or double labelled or labeled water in combination with accelerometer, accelerometry, motion sensor, or activity monitor. Limits were set to include articles from 2007 to 2011, as earlier publications were covered in a previous review. In total, 38 articles were identified, of which 25 were selected to contain sufficient new data. Eighteen different accelerometers were validated. There was a large variability in accelerometer output and their validity to assess daily physical activity. Activity type recognition has great potential to improve the assessment of physical activity-related health outcomes. So far, there is little evidence that adding other physiological measures such as heart rate significantly improves the estimation of energy expenditure.read more
Citations
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Proceedings ArticleDOI
Determining the Single Best Axis for Exercise Repetition Recognition and Counting on SmartWatches
Bobak J. Mortazavi,Mohammad Pourhomayoun,Gabriel Alsheikh,Nabil Alshurafa,Sunghoon Ivan Lee,Majid Sarrafzadeh +5 more
TL;DR: Results show that, while a combination of accelerometer and gyroscope provide the strongest classification results, often times features extracted from a single, best axis are enough to accurately identify movements for a personal training routine, where that axis is often, but notalways, an accelerometer axis.
Journal ArticleDOI
Energy Expenditure in Humans and Other Primates: A New Synthesis*
TL;DR: Empirical measurements of energy expenditure in humans and other primates suggest that the body adapts dynamically to long-term changes in physical activity, maintaining TEE within an evolved, and relatively narrow, physiological range.
Proceedings ArticleDOI
Multi-scale Conditional Random Fields for first-person activity recognition
TL;DR: A feature extraction method from accelerometer and video; a classification algorithm integrating both locomotive (body motions) and stationary activities (without or with small motions); a novel multi-scale dynamic graphical model structure for structured classification over time.
Journal ArticleDOI
Predictors of Change in BMI From the Age of 4 to 8
Silje Steinsbekk,Lars Wichstrøm +1 more
TL;DR: Children whose eating is especially triggered by the sight and smell of food show prospective increased weight gain and excess weight and weight gain also predict increased food-approaching behavior.
Journal ArticleDOI
The Accuracy of Smart Devices for Measuring Physical Activity in Daily Life: Validation Study.
TL;DR: Investigation of convergent validity of 3 Android Wear smartwatches and Fitbit Charge with an ActiGraph accelerometer revealed a systematic overestimation of the wearables for measuring steps but a variation between over- and undercounting of MVPA.
References
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Journal Article
Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research.
TL;DR: These definitions are offered as an interpretational framework for comparing studies that relate physical activity, exercise, and physical fitness to health.
Journal ArticleDOI
Too Much Sitting: The Population Health Science of Sedentary Behavior
TL;DR: Sitting time, TV time, and time sitting in automobiles increase premature mortality risk, and breaking up sedentary time is beneficial.
Journal ArticleDOI
Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003–06
Genevieve N. Healy,Charles E. Matthews,David W. Dunstan,David W. Dunstan,Elisabeth A. H. Winkler,Neville Owen,Neville Owen +6 more
TL;DR: These are the first population-representative findings on the deleterious associations of prolonged sedentary time with cardio-metabolic and inflammatory biomarkers and suggest that clinical communications and preventive health messages on reducing and breaking up sedentaryTime may be beneficial for cardiovascular disease risk.
Journal ArticleDOI
Objectively Measured Sedentary Time, Physical Activity, and Metabolic Risk: The Australian Diabetes, Obesity and Lifestyle Study (AusDiab)
Genevieve N. Healy,Katrien Wijndaele,David W. Dunstan,Jonathan E. Shaw,Jo Salmon,Paul Zimmet,Neville Owen +6 more
TL;DR: In this article, the authors examined the associations of objectively measured sedentary time and physical activity with continuous indexes of metabolic risk in Australian adults without known diabetes, and highlighted the importance of decreasing the amount of time spent in physical activity for metabolic health.
Journal ArticleDOI
A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity
TL;DR: Preliminary evaluation of the system in 13 male subjects during standardized activities in the laboratory demonstrated a significant relationship between accelerometer output and energy expenditure due to physical activity, the standard reference for physical activity.