Recent Advances in Motion Analysis

The advances in the technology and methodology for human movement capture and analysis over the last decade have been remarkable. Besides acknowledged approaches for kinematic, dynamic, and electromyographic (EMG) analysis carried out in the laboratory, more recently developed devices, such as weara...

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Year of Publication:2021
Language:English
Physical Description:1 electronic resource (192 p.)
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spelling Di Nardo, Francesco edt
Recent Advances in Motion Analysis
Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
1 electronic resource (192 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
The advances in the technology and methodology for human movement capture and analysis over the last decade have been remarkable. Besides acknowledged approaches for kinematic, dynamic, and electromyographic (EMG) analysis carried out in the laboratory, more recently developed devices, such as wearables, inertial measurement units, ambient sensors, and cameras or depth sensors, have been adopted on a wide scale. Furthermore, computational intelligence (CI) methods, such as artificial neural networks, have recently emerged as promising tools for the development and application of intelligent systems in motion analysis. Thus, the synergy of classic instrumentation and novel smart devices and techniques has created unique capabilities in the continuous monitoring of motor behaviors in different fields, such as clinics, sports, and ergonomics. However, real-time sensing, signal processing, human activity recognition, and characterization and interpretation of motion metrics and behaviors from sensor data still representing a challenging problem not only in laboratories but also at home and in the community. This book addresses open research issues related to the improvement of classic approaches and the development of novel technologies and techniques in the domain of motion analysis in all the various fields of application.
English
Technology: general issues bicssc
falls
slips
trips
postural perturbations
wearables
stretch-sensors
ankle kinematics
rowing
technology
inertial sensor
accelerometer
performance
signal processing
sEMG
knee
random forest
principal component analysis
back propagation
estimation model
knee angle
deep learning
neural networks
gait-phase classification
electrogoniometer
EMG sensors
walking
gait-event detection
automotive radar
machine learning
walking analysis
seated posture
cognitive engagement
stress level
load cells
embedded systems
sensorized seat
flexion-relaxation phenomenon
surface electromyography
wearable device
WBSN
automatic detection of the FRP
Internet of Things (IoT)
human activity recognition (HAR)
motion analysis
wearable sensors
cerebral palsy
hemiplegia
motor disorders
gait variability
coefficient of variation
surface EMG
statistical gait analysis
activation patterns
co-activation
Parkinson’s disease
activity recognition
rate invariance
Lie group
3-0365-0438-9
3-0365-0439-7
Fioretti, Sandro edt
Di Nardo, Francesco oth
Fioretti, Sandro oth
language English
format eBook
author2 Fioretti, Sandro
Di Nardo, Francesco
Fioretti, Sandro
author_facet Fioretti, Sandro
Di Nardo, Francesco
Fioretti, Sandro
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s f sf
author2_role HerausgeberIn
Sonstige
Sonstige
title Recent Advances in Motion Analysis
spellingShingle Recent Advances in Motion Analysis
title_full Recent Advances in Motion Analysis
title_fullStr Recent Advances in Motion Analysis
title_full_unstemmed Recent Advances in Motion Analysis
title_auth Recent Advances in Motion Analysis
title_new Recent Advances in Motion Analysis
title_sort recent advances in motion analysis
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2021
physical 1 electronic resource (192 p.)
isbn 3-0365-0438-9
3-0365-0439-7
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