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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| Format: | Online |
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| Langue: | anglais |
| Publié: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Sujets: | |
| Accès en ligne: | ONIX_20220111_9783036504384_19 |
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| _version_ | 1869516608105349120 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-76283 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-762832024-04-09T23:16:26Z Recent Advances in Motion Analysis Di Nardo, Francesco Fioretti, Sandro 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues 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. 2022-01-11T13:27:33Z 2022-01-11T13:27:33Z 2021 book ONIX_20220111_9783036504384_19 9783036504384 9783036504391 https://directory.doabooks.org/handle/20.500.12854/76283 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/3661 https://mdpi.com/books/pdfview/book/3661 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-0439-1 10.3390/books978-3-0365-0439-1 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036504384 9783036504391 192 Basel, Switzerland open access |
| spellingShingle | 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Recent Advances in Motion Analysis |
| title | 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_short | Recent Advances in Motion Analysis |
| title_sort | recent advances in motion analysis |
| topic | 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| topic_facet | 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| url | ONIX_20220111_9783036504384_19 |