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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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Bibliographic Details
Main Author: Buisseret, Fabien
Other Authors: Dierick, Frédéric, Van der Perre, Liesbet
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
Machine Learning
Logistic Regression
Bayesian Neural Network
Ensemble Clustering Method
Scoring
Medical Equipment And Techniques / Bicssc
Inertial Sensor
Tug
Long-track Speed Skating
6 Min Walking Test
N/a
Fall Risk
Data Augmentation
Cerebral Palsy
Lifting Technique
Neck Pain
Gated Recurrent Unit
Supervised Machine Learning
Home-based
Inertial Measurement Unit
Mlp
Sample Entropy
Carving
Model Search
Choreoathetosis
Ward Clustering Method
Vascular Rehabilitation
Movement Complexity
Principal Component Analysis
Head Rotation Test
K-means Clustering Method
Kinematics
Movement Analysis
Dystonia
Camera System
Pain Self-efficacy Questionnaire
Gesture Recognition
Wearable
Imu
Elderly
Inertial Measurement Unit-imu
Low Back Pain
Intermittent Claudication
Wearable Device
Artificial Intelligence
Balance Assessment
Validity
Functional Walking
Trunk Flexion
Flex Sensor
One-dimensional Convolutional Neural Network
Neural Network
Human Activity Recognition
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary: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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (154 p.)
ISBN:books978-3-0365-5859-2
9783036558592
9783036558608

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