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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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 |
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English |
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author2 |
Dierick, Frédéric Van der Perre, Liesbet Buisseret, Fabien Dierick, Frédéric Van der Perre, Liesbet |
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Dierick, Frédéric Van der Perre, Liesbet Buisseret, Fabien Dierick, Frédéric Van der Perre, Liesbet |
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f b fb f d fd d p l v dpl dplv |
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HerausgeberIn HerausgeberIn Sonstige Sonstige Sonstige |
title |
Wearable Sensors Applied in Movement Analysis |
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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 |
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Wearable Sensors Applied in Movement Analysis |
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Wearable Sensors Applied in Movement Analysis |
title_sort |
wearable sensors applied in movement analysis |
publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
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2022 |
physical |
1 electronic resource (154 p.) |
isbn |
3-0365-5859-4 3-0365-5860-8 |
illustrated |
Not Illustrated |
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AT buisseretfabien wearablesensorsappliedinmovementanalysis AT dierickfrederic wearablesensorsappliedinmovementanalysis AT vanderperreliesbet wearablesensorsappliedinmovementanalysis |
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(CKB)5470000001631595 (oapen)https://directory.doabooks.org/handle/20.500.12854/94590 (EXLCZ)995470000001631595 |
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Wearable Sensors Applied in Movement Analysis |
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