04323nam 2201045z- 450 991055790000332120231214132858.0(CKB)5400000000046280(oapen)https://directory.doabooks.org/handle/20.500.12854/76283(EXLCZ)99540000000004628020202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierRecent Advances in Motion AnalysisBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 electronic resource (192 p.)3-0365-0438-9 3-0365-0439-7 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.Technology: general issuesbicsscfallsslipstripspostural perturbationswearablesstretch-sensorsankle kinematicsrowingtechnologyinertial sensoraccelerometerperformancesignal processingsEMGkneerandom forestprincipal component analysisback propagationestimation modelknee angledeep learningneural networksgait-phase classificationelectrogoniometerEMG sensorswalkinggait-event detectionautomotive radarmachine learningwalking analysisseated posturecognitive engagementstress levelload cellsembedded systemssensorized seatflexion-relaxation phenomenonsurface electromyographywearable deviceWBSNautomatic detection of the FRPInternet of Things (IoT)human activity recognition (HAR)motion analysiswearable sensorscerebral palsyhemiplegiamotor disordersgait variabilitycoefficient of variationsurface EMGstatistical gait analysisactivation patternsco-activationParkinson’s diseaseactivity recognitionrate invarianceLie groupTechnology: general issuesDi Nardo Francescoedt1311295Fioretti SandroedtDi Nardo FrancescoothFioretti SandroothBOOK9910557900003321Recent Advances in Motion Analysis3030209UNINA