Capturing human motion using body‐fixed sensors: outdoor measurement and clinical applications
By Kamiar Aminian, Bijan Najafi. Comput. Animat. Virtual Worlds, 2004
297 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Endocrinology, Diabetes and Metabolism, Physical Therapy, Sports Therapy and Rehabilitation
View Paper: https://www.semanticscholar.org/paper/6c85141f33594e4f2c017b548d04e631876d1bff
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
- John Yannis Goulermas
- Laurence P. J. Kenney
- Billur Barshan
- Weijun Tao
- Tao Liu
- Hutian Feng
In Endocrinology, Diabetes and Metabolism
In Physical Therapy, Sports Therapy and Rehabilitation
- Justin J. Kavanagh
- Stephen J. Preece
- David Howard
- John Yannis Goulermas
- Laurence P. J. Kenney
- Weijun Tao
- Tao Liu
- Hutian Feng
Citations in the corpus
- Detection of Daily Activities and Sports With Wearable Sensors in Controlled and Uncontrolled Conditions (2008, background): “Recent reviews have described the use of accelerometers in movement and activity detection [10], [ 11 ].”
- Accelerometry: a technique for quantifying movement patterns during walking. (2008, background): “However, concurrent data collection with rate gyroscopes can provide added detail on the orientation of the accelerometer [14–19], and thus enhances the possibility of correcting for the effects of gravity.”
- A new approach to accurate measurement of uniaxial joint angles based on a combination of accelerometers and gyroscopes (2005, background): “However, data obtained from integration can be distorted by offsets or any drifts [8], [9].”
- Activity classification using realistic data from wearable sensors (2006, background): “The studies using accelerometry for monitoring human movement have been recently reviewed in [9] and [10].”
- A Comparison of Feature Extraction Methods for the Classification of Dynamic Activities From Accelerometer Data (2009, background): “O VER THE past decade, there has been considerable research effort directed toward the monitoring and clas-sification of physical activity patterns from body-fixed sensor data [1], [2].”
- Gait Analysis Using Wearable Sensors (2012, methodology): “Aminian and Najafi [169] tested and validated the application of gait analysis based on body-fixed sensors in hip osteoarthritic patients as a progress assessment method before and after surgery.”