The technology of accelerometry-based activity monitors: current and future.
By Kong Y. Chen, David Bassett. Medicine & Science in Sports & Exercise, 2005
1,068 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition, Physiology
View Paper: https://www.semanticscholar.org/paper/8158ca0b3e50289880b8d02454325be2abeaa2c0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Stephen J. Preece
- David Howard
- Ulf Ekelund
- Alan Godfrey
- Ashraf A. Darwish
- Aboul Ella Otifey Hassanien
- John Yannis Goulermas
- Leena Choi
In Computer Vision and Pattern Recognition
- Stephen J. Preece
- David Howard
- Ulf Ekelund
- Alan Godfrey
- Aboul Ella Otifey Hassanien
- John Yannis Goulermas
- Leena Choi
- Laurence P. J. Kenney
In Physiology
- Stephen J. Preece
- David Howard
- Ulf Ekelund
- Alan Godfrey
- Nick Wareham
- R. Steele
- John Yannis Goulermas
- Leena Choi
Citations in the corpus
- How accurately can sitting and the intensity of walking and cycling be classified using an accelerometer on the waist for the purpose of the “Global recommendations on physical activity for health”? (2015, neutral): “”[13] 2.”
- Activity identification using body-mounted sensors—a review of classification techniques (2009, methodology): “For an excellent review of this area the reader is directed to Chen and Bassett (2005).”
- Wearable and Implantable Wireless Sensor Network Solutions for Healthcare Monitoring (2011, background): “While the distributed detection of an athlete‟s posture [43] would need point-to-point data sharing across various on-body sensors, applications such as monitoring vital signs as shown in Figure 2, will require all body mounted and/or implanted sensors [44,45] to route data multipoint-to-point to a…”
- Physical activity for health: What kind? How much? How intense? On top of what? (2011, background): “Humans, for example, set the sensitivity with which the instruments detect motion, and thereby the ratio of physical activity to extraneous noise (12).”
- Direct measurement of human movement by accelerometry. (2008, methodology): “Accelerometers included for kinematic studies include iezoelectric, piezeresistive, differential capacitor, all of hich implement the same basic principle of the spring mass ystem [38,41].”
- Using Internet and Mobile Phone Technology to Deliver an Automated Physical Activity Program: Randomized Controlled Trial (2007, methodology): “Accelerometers have been widely used to monitor physical activity [28-30], both for school-age children [31] and adults [32].”
- Assessment of physical activity in youth. (2008, methodology): “Acceleration is a change in velocity with respect to time (SI unit; m/s(2)), enabling accelerometers to quantify the intensity of movement for that body part (20, 22, 40, 65).”
- Training Load Monitoring in Team Sports: A Novel Framework Separating Physiological and Biomechanical Load-Adaptation Pathways (2017, background): “Chen KY, Bassett DR.”
- Validation of Accelerometer Wear and Nonwear Time Classification Algorithm (2011, methodology): “Nevertheless, accelerometers have been frequently used for the measurement of PA using criteria such as time spent in activities performed at various intensities and for the prediction of energy expenditure (EE) associated with PA (5, 26).”