Evolution of accelerometer methods for physical activity research
By R. Troiano, James J Mcclain, R. Brychta, Kong Y. Chen. British Journal of Sports Medicine, 2014
927 citations recorded by the source corpus.
Subfields: Complementary and alternative medicine, Computer Vision and Pattern Recognition, Physiology
View Paper: https://www.semanticscholar.org/paper/2481857b98a00f9f5e46a910da350b67614ac849
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Complementary and alternative medicine
In Computer Vision and Pattern Recognition
- Thomas Plötz
- Ulf Ekelund
- Søren Brage
- Stephen J. Preece
- Malcolm H. Granat
- David Bassett
- S. Crouter
- Aiden R. Doherty
In Physiology
- Ulf Ekelund
- Søren Brage
- S. Crouter
- David Bassett
- Nick Wareham
- Stephen J. Preece
- Mark S. Tremblay
- Stuart J. H. Biddle
Citations in the corpus
- Sedentary Behavior Research Network (SBRN) – Terminology Consensus Project process and outcome (2017, background): “At this time, smaller working groups are being formed to propose solutions to different issues (ethics and privacy; harmonizing calibration protocols and data elements; hardware, software and data management logistics; and evaluating evidence and comparison of analytic approaches) and efficient mode”
- Step Counting: A Review of Measurement Considerations and Health-Related Applications (2016, background): “The wrist placement site and a waterproof case increased wear times, and had the added benefit of providing a valid assessment of sleep duration and quality [30].”
- Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study (2017, background): “These studies all used accelerometers which were worn around the waist and during awake-time only, a protocol which can result in relatively large amounts of missing data [9].”