Assessment of spatio-temporal parameters during unconstrained walking
By Wiebren Zijlstra. European Journal of Applied Physiology, 2004
317 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/0bc3abb0a3a38c309b82f1dbfc6ed57831c7e366
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
- Lynn Rochester
- David Howard
- Alan Godfrey
- John Yannis Goulermas
- Laurence P. J. Kenney
- Guanzhong Ding
- Jian Gong
In Endocrinology, Diabetes and Metabolism
In Physical Therapy, Sports Therapy and Rehabilitation
- Justin J. Kavanagh
- Stephen J. Preece
- Lynn Rochester
- David Howard
- Alan Godfrey
- John Yannis Goulermas
- Laurence P. J. Kenney
- Guanzhong Ding
Citations in the corpus
- Accelerometry: a technique for quantifying movement patterns during walking. (2008, background): “Elastic bandages Lower trunk Zijlstra [108]”
- Window Size Impact in Human Activity Recognition (2014, background): “…Lester et al. (2006) [13], Nyan et al. (2006) [11], He and Jin (2009) [15], Gu et [19], Mansfield and Lyons (2003) [36], Zijlstra and Hof (2003) [37], Zijlstra (2004) [38] The activity-defined windowing procedure consists of a partitioning of the sensor data stream based on the detection of…”
- A reliable and accurate indoor localization method using phone inertial sensors (2012, methodology): “Based on that, we choose a frequency model[28] as our generic step model, represented as If we take a closer look at each person’s data in Figure 6, the linear frequency model fits well, with differences only in the coefficients.”
- Identification of animal movement patterns using tri-axial accelerometry (2008, background): “Changes in the frequency and amplitude patterns seen in accelerometric signals may be accompanied by an identifiable change in gait (Zijlstra 2004, Watanabe et al. 2005).”
- Validation of an Accelerometer to Quantify a Comprehensive Battery of Gait Characteristics in Healthy Older Adults and Parkinson's Disease: Toward Clinical and at Home Use (2016, background): “Traditionally, high reproducibility has been problematic with step length due to adoption of the inverted pendulum model on which it is based [14], [40], [41].”
- Activity identification using body-mounted sensors—a review of classification techniques (2009, background): “Heel strike is then located at a given time offset from these points (Mansfield and Lyons 2003; Zijlstra 2004; Zijlstra and Hof 2003).”
- Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons (2016, methodology): “More advanced works implements some linear step model [98], [100] to calibrate the relationship between”