Wearable Sensors Applied in Movement Analysis

Recent advances in electronics have led to sensors whose sizes and weights are such that they can be placed on living systems without impairing their natural motion and habits. They may be worn on the body as accessories or as part of the clothing and enable personalized mobile information processin...

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Year of Publication:2022
Language:English
Physical Description:1 electronic resource (154 p.)
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spelling Buisseret, Fabien edt
Wearable Sensors Applied in Movement Analysis
Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
1 electronic resource (154 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Recent advances in electronics have led to sensors whose sizes and weights are such that they can be placed on living systems without impairing their natural motion and habits. They may be worn on the body as accessories or as part of the clothing and enable personalized mobile information processing. Wearable sensors open the way for a nonintrusive and continuous monitoring of body orientation, movements, and various physiological parameters during motor activities in real-life settings. Thus, they may become crucial tools not only for researchers, but also for clinicians, as they have the potential to improve diagnosis, better monitor disease development and thereby individualize treatment. Wearable sensors should obviously go unnoticed for the people wearing them and be intuitive in their installation. They should come with wireless connectivity and low-power consumption. Moreover, the electronics system should be self-calibrating and deliver correct information that is easy to interpret. Cross-platform interfaces that provide secure data storage and easy data analysis and visualization are needed.This book contains a selection of research papers presenting new results addressing the above challenges.
English
Medical equipment & techniques bicssc
inertial measurement unit
movement analysis
long-track speed skating
validity
IMU
principal component analysis
wearable
scoring
carving
balance assessment
data augmentation
gated recurrent unit
human activity recognition
one-dimensional convolutional neural network
intermittent claudication
vascular rehabilitation
6 min walking test
functional walking
TUG
kinematics
fall risk
logistic regression
elderly
inertial sensor
artificial intelligence
supervised machine learning
head rotation test
neck pain
cerebral palsy
dystonia
choreoathetosis
machine learning
home-based
wearable device
MLP
gesture recognition
flex sensor
model search
neural network
inertial measurement unit-IMU
movement complexity
sample entropy
trunk flexion
low back pain
lifting technique
camera system
ward clustering method
K-means clustering method
ensemble clustering method
Bayesian neural network
pain self-efficacy questionnaire
3-0365-5860-8
Dierick, Frédéric edt
Van der Perre, Liesbet edt
Buisseret, Fabien oth
Dierick, Frédéric oth
Van der Perre, Liesbet oth
language English
format eBook
author2 Dierick, Frédéric
Van der Perre, Liesbet
Buisseret, Fabien
Dierick, Frédéric
Van der Perre, Liesbet
author_facet Dierick, Frédéric
Van der Perre, Liesbet
Buisseret, Fabien
Dierick, Frédéric
Van der Perre, Liesbet
author2_variant f b fb
f d fd
d p l v dpl dplv
author2_role HerausgeberIn
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title Wearable Sensors Applied in Movement Analysis
spellingShingle Wearable Sensors Applied in Movement Analysis
title_full Wearable Sensors Applied in Movement Analysis
title_fullStr Wearable Sensors Applied in Movement Analysis
title_full_unstemmed Wearable Sensors Applied in Movement Analysis
title_auth Wearable Sensors Applied in Movement Analysis
title_new Wearable Sensors Applied in Movement Analysis
title_sort wearable sensors applied in movement analysis
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2022
physical 1 electronic resource (154 p.)
isbn 3-0365-5859-4
3-0365-5860-8
illustrated Not Illustrated
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