Conducting accelerometer-based activity assessments in field-based research.

By Stewart G. Trost, K. McIver, R. Pate. Medicine & Science in Sports & Exercise, 2005

2,059 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Physiology, Public Health, Environmental and Occupational Health

View Paper: https://www.semanticscholar.org/paper/710301b62a6ea8a2752425a157d6fb70f3c86661

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In Computer Vision and Pattern Recognition

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Citations in the corpus

BEST PRACTICES FOR USING PHYSICAL ACTIVITY MONITORS IN POPULATION-BASED RESEARCH (2012, positive): “We update and extend previous recommendations for using physical activity monitors in field-based research outlined by Trost, McIver, and Pate in 2005 (33), including information about selecting a monitor in light of technological advances that have occurred in recent years.”
Validation of Accelerometer Wear and Nonwear Time Classification Algorithm (2011, background): “A challenge with the use of monitors is capturing total activity since activity monitors selectively record movement of the part of the body to which they are attached (19, 32).”
Accelerometer Data Collection and Processing Criteria to Assess Physical Activity and Other Outcomes: A Systematic Review and Practical Considerations (2017, positive): “However, a minimum of 4 days of valid data is recommended as was suggested in a previous systematic review [88].”
Sensor Positioning for Activity Recognition Using Wearable Accelerometers (2011, result): “Although the results of this work give an indication of sensor positioning with respect to activity-group discrimination, practical issues have to be considered for long-term deployment [ 41 ].”
Assessment of physical activity in youth. (2008, background): “The sporadic nature of young children’s physical activity may be more accurately measured by either multidirectional or multiple sensors, but this has not been investigated fully in children (91, 111).”
No effects of gluten in patients with self-reported non-celiac gluten sensitivity after dietary reduction of fermentable, poorly absorbed, short-chain carbohydrates. (2013, methodology): “Accelerometry was used to objectively assess physical activity and sleep patterns.(17,18) The participants were asked to wear the accelerometer (ActiGraph GT3X Accelerometer, LLC, Fort Walton Beach, FL) for 7 consecutive days, at all times during the baseline week and during each treatment arm.”
Amount of time spent in sedentary behaviors in the United States, 2003-2004. (2008, background): “There has been some debate regarding the minimal number of days of observation required to achieve useful estimates from accelerometers in field-based studies ( 34 , 35) and issues associated with missing data (36).”