Journal ArticleDOI
Predicting lower limb joint kinematics using wearable motion sensors
TLDR
A wearable system based only on footwear mounted sensors and a simpler sensor set providing only acceleration data shows potential, and predictions were generally stable when sensor data was lost, it remains to be seen whether the generalised regression networks algorithm is robust for other activities such as stair climbing.About:
This article is published in Gait & Posture.The article was published on 2008-07-01. It has received 148 citations till now. The article focuses on the topics: Kinematics.read more
Citations
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Journal ArticleDOI
Bio-Integrated Wearable Systems: A Comprehensive Review
Tyler R. Ray,Jungil Choi,Amay J. Bandodkar,Siddharth Krishnan,Philipp Gutruf,Limei Tian,Roozbeh Ghaffari,John A. Rogers +7 more
TL;DR: This review summarizes the latest advances in this emerging field of "bio-integrated" technologies in a comprehensive manner that connects fundamental developments in chemistry, material science, and engineering with sensing technologies that have the potential for widespread deployment and societal benefit in human health care.
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Quantified self and human movement: A review on the clinical impact of wearable sensing and feedback for gait analysis and intervention
TL;DR: Clinical applications of wearable sensing and feedback for human gait are assessed and substantial potential clinical benefits are demonstrated, highlighting the current state of the literature and demonstrating substantial potentialclinical benefits.
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Wearable Medical Systems for p-Health
TL;DR: Enabling technologies for continuous and noninvasive measurements of vital signs and biochemical variables, advances in intelligent biomedical clothing and body area networks, approaches for motion artifact reduction, strategies for wearable energy harvesting, and the establishment of standard protocols for the evaluation of wearable medical devices are presented.
Journal ArticleDOI
Development of a wearable sensor system for quantitative gait analysis
TL;DR: In this paper, a study on development of a wearable sensor system for quantitative gait analysis using inertial sensors of gyroscopes and accelerometers is presented, which is designed to detect gait phases including initial contact, loading response, mid stance, terminal stance, pre swing, initial swing, mid swing and terminal swing.
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The use of wearable inertial motion sensors in human lower limb biomechanics studies: a systematic review.
Daniel Tik-Pui Fong,Yue-Yan Chan +1 more
TL;DR: The literature related to usage of inertial sensors in human lower limb biomechanics studies, the type of sensor involved, data collection methods, study design, validation methods and its applications were reviewed.
References
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A general regression neural network
TL;DR: The general regression neural network (GRNN) is a one-pass learning algorithm with a highly parallel structure that provides smooth transitions from one observed value to another.
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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.
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Estimation of gait cycle characteristics by trunk accelerometry.
TL;DR: It was demonstrated that analysis of gait cycle parameters which previously required fixed laboratory equipment and paced walking procedures, now can be made from data obtained by a timing device and a portable sensor at free walking speeds.
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Surface-marker cluster design criteria for 3-D bone movement reconstruction
TL;DR: This paper deals with the identification of the optimal cluster position and orientation on the limb aimed at the minimization of error propagation to anatomical landmark laboratory coordinates.
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Distance to achieve steady state walking speed in frail elderly persons
Ulrich Lindemann,Bijan Najafi,Wiebren Zijlstra,Klaus Hauer,Klaus Hauer,Rainer Muche,Clemens Becker,Kamiar Aminian +7 more
TL;DR: The length of the gait initiation phase before achieving steady state walking in frail older people is determined to determine and assessments of steady state gait in frail elderly people should exclude the first 2.5m of walking.