Journal ArticleDOI
Spatio-temporal parameters of gait measured by an ambulatory system using miniature gyroscopes
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TLDR
An ambulatory system for estimation of spatio-temporal parameters during long periods of walking based on wavelet analysis to compute the values of temporal gait parameters from the angular velocity of lower limbs, which is light, portable, inexpensive and does not provoke any discomfort to subjects.About:
This article is published in Journal of Biomechanics.The article was published on 2002-05-01. It has received 786 citations till now. The article focuses on the topics: Effect of gait parameters on energetic cost & Gait (human).read more
Citations
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A Review of Accelerometry-Based Wearable Motion Detectors for Physical Activity Monitoring
Che-Chang Yang,Yeh-Liang Hsu +1 more
TL;DR: This paper reviews and compares existing commercial products to provide a comprehensive outlook of current development status and possible emerging technologies of wearable accelerometry-based motion detectors.
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Two simple methods for determining gait events during treadmill and overground walking using kinematic data.
TL;DR: Automatic event detection from the two kinematic-based algorithms will aid researchers by accurately determining gait events during the analysis of treadmill and overground walking.
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Gait variability: methods, modeling and meaning
TL;DR: Nine reports on the results of recent investigations into gait variability provide new insights into the factors that regulate the stride-to-stride fluctuations in walking and pave the way for expanded research into the control of gait and the practical application of measures of gact variability in the clinical setting.
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Machine Learning Methods for Classifying Human Physical Activity from On-Body Accelerometers
TL;DR: How human physical activity can be classified using on-body accelerometers, with a major emphasis devoted to the computational algorithms employed for this purpose, is discussed.
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Assessment of walking features from foot inertial sensing
TL;DR: It is concluded that foot inertial sensing is a promising tool for the reliable identification of subsequent gait cycles and the accurate assessment of walking speed and incline.
References
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Journal ArticleDOI
A theory for multiresolution signal decomposition: the wavelet representation
TL;DR: In this paper, it is shown that the difference of information between the approximation of a signal at the resolutions 2/sup j+1/ and 2 /sup j/ (where j is an integer) can be extracted by decomposing this signal on a wavelet orthonormal basis of L/sup 2/(R/sup n/), the vector space of measurable, square-integrable n-dimensional functions.
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Gait Changes in Older Adults: Predictors of Falls or Indicators of Fear?
TL;DR: In a cohort of ambulatory older adults, whether spatial‐temporal measures of foot placement during gait can predict the likelihood of future falls or whether these measures are more likely to be indicative of adaptations associated with pre‐existing fear of falling is investigated.
Book
Dynamics of human gait
TL;DR: This chapter discusses the integration of Anthropometry, Displacements, and Ground Reaction Forces, and the Three Dimensional and Cyclic Nature of Gait in the context of dynamic animation.
Journal ArticleDOI
A practical gait analysis system using gyroscopes
Kai-Yu Tong,Malcolm H. Granat +1 more
TL;DR: This study investigated the possibility of using uni-axial gyroscopes to develop a simple portable gait analysis system by automatically resetting the system to re-initialise the angle in each gait cycle, and high-pass filtering.
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Algorithms to determine event timing during normal walking using kinematic data
Alan Hreljac,Robert N. Marshall +1 more
TL;DR: It was concluded that the proposed algorithms provide an easy and reliable method of determining event times during walking when kinematic data are collected, with a considerable improvement in resolution over visual inspection of video records, and could be utilized in conjunction with any 2-D or 3-D kinematics data collection system.