Intelligent Sensors for Human Motion Analysis

Intelligent Sensors for Human Motion Analysis

The book, "Intelligent Sensors for Human Motion Analysis," contains 17 articles published in the Special Issue of the Sensors journal. These articles deal with many aspects related to the analysis of human movement. New techniques and methods for pose estimation, gait recognition, and fall...

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Bibliographic Details
HerausgeberIn:
Świtoński, Adam
Kepski, Michal
Calafate, Carlos Tavares
Sonstige:
Krzeszowski, Tomasz
Świtoński, Adam
Kepski, Michal
Calafate, Carlos Tavares
Year of Publication:2022
Language:English
Physical Description:1 electronic resource (382 p.)
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id 993562968104498
ctrlnum (CKB)5670000000391584
(oapen)https://directory.doabooks.org/handle/20.500.12854/93177
(EXLCZ)995670000000391584
collection bib_alma
record_format marc
spelling Krzeszowski, Tomasz edt
Intelligent Sensors for Human Motion Analysis
MDPI - Multidisciplinary Digital Publishing Institute 2022
1 electronic resource (382 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
The book, "Intelligent Sensors for Human Motion Analysis," contains 17 articles published in the Special Issue of the Sensors journal. These articles deal with many aspects related to the analysis of human movement. New techniques and methods for pose estimation, gait recognition, and fall detection have been proposed and verified. Some of them will trigger further research, and some may become the backbone of commercial systems.
English
Technology: general issues bicssc
History of engineering & technology bicssc
gait recognition
biometrics
regularized discriminant analysis
particle swarm optimization
grey wolf optimization
whale optimization algorithm
FMCW
vital sign
XGBoost
MFCC
COVID-19
3D human pose estimation
deep learning
generalization
optical sensing principle
modular sensing unit
plantar pressure measurement
gait parameters
3D human mesh reconstruction
deep neural network
motion capture
neural networks
reconstruction
gap filling
FFNN
LSTM
BILSTM
GRU
pose estimation
movement tracking
computer vision
artificial intelligence
markerless motion capture
assessment
kinematics
development
machine learning
human action recognition
features fusion
features selection
recognition
fall risk detection
balance
Berg Balance Scale
human tracking
elderly
telemedicine
diagnosis
precedence indicator
knowledge measure
fuzzy inference
rule induction
posture detection
aggregation function
markerless
human motion analysis
gait analysis
data augmentation
skeletal data
time series classification
EMG
pattern recognition
robot
cyber-physical systems
RGB-D sensors
human motion modelling
F-Formation
Kinect v2
Azure Kinect
Zed 2i
socially occupied space
facial expression recognition
facial landmarks
action units
convolutional neural networks
graph convolutional networks
artifact classification
artifact detection
anomaly detection
3D multi-person pose estimation
absolute poses
camera-centric coordinates
deep-learning
3-0365-5073-9
Świtoński, Adam edt
Kepski, Michal edt
Calafate, Carlos Tavares edt
Krzeszowski, Tomasz oth
Świtoński, Adam oth
Kepski, Michal oth
Calafate, Carlos Tavares oth
language English
format eBook
author2 Świtoński, Adam
Kepski, Michal
Calafate, Carlos Tavares
Krzeszowski, Tomasz
Świtoński, Adam
Kepski, Michal
Calafate, Carlos Tavares
author_facet Świtoński, Adam
Kepski, Michal
Calafate, Carlos Tavares
Krzeszowski, Tomasz
Świtoński, Adam
Kepski, Michal
Calafate, Carlos Tavares
author2_variant t k tk
a s as
m k mk
c t c ct ctc
author2_role HerausgeberIn
HerausgeberIn
HerausgeberIn
Sonstige
Sonstige
Sonstige
Sonstige
title Intelligent Sensors for Human Motion Analysis
spellingShingle Intelligent Sensors for Human Motion Analysis
title_full Intelligent Sensors for Human Motion Analysis
title_fullStr Intelligent Sensors for Human Motion Analysis
title_full_unstemmed Intelligent Sensors for Human Motion Analysis
title_auth Intelligent Sensors for Human Motion Analysis
title_new Intelligent Sensors for Human Motion Analysis
title_sort intelligent sensors for human motion analysis
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2022
physical 1 electronic resource (382 p.)
isbn 3-0365-5074-7
3-0365-5073-9
illustrated Not Illustrated
work_keys_str_mv AT krzeszowskitomasz intelligentsensorsforhumanmotionanalysis
AT switonskiadam intelligentsensorsforhumanmotionanalysis
AT kepskimichal intelligentsensorsforhumanmotionanalysis
AT calafatecarlostavares intelligentsensorsforhumanmotionanalysis
status_str n
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(EXLCZ)995670000000391584
carrierType_str_mv cr
is_hierarchy_title Intelligent Sensors for Human Motion Analysis
author2_original_writing_str_mv noLinkedField
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