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Die vorliegende Arbeit ist durch Problemstellungen motiviert, die im Rahmen des Sonderforschungsbereichs 588 entstanden sind. Sie behandelt verschiedene Aspekte der rechnergestützten Mehrkörperdynamik im Hinblick auf die biomechanische Modellierung. Ein wichtiges Ziel dieser Arbeit ist es, die wesentlichen kinematischen und dynamischen Eigenschaften des Menschen modelltechnisch zu erfassen, wobei die Entwicklung von biomechanischen Simulationsmodellen des Menschen im Vordergrund.

Kinematik --- Motion Capture --- Mehrkörperdynamik --- Dynamik --- Biomechanik

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Biographical note: Maik Eckardt ist selbstständiger 3D-Grafiker und CINEMA 4D-Trainer u.a. am SAE-Institute, am Institute of Design (IN.D), an der Berliner Technischen Kunsthochschule (BTK) und für das Nemetschek-Competence Center. Long description:

buch --- Animation --- rendern --- cinema 4d --- 3d animation --- 3d design --- 3d figuren --- 3d grafik --- 3d model --- 3d modellierung --- 3d programm --- 3d software --- 3d visualisierung --- 3d zeichenprogramm --- animation design --- cinema 4d models --- cinema 4d plugins --- Cinema 4d R22 --- maxon --- motion capture

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Quantitative movement analysis is widely used in clinical practice and research to investigate movement disorders objectively and in a complete way. Conventionally, body segment kinematic and kinetic parameters are measured in gait laboratories using marker-based optoelectronic systems, force plates, and electromyographic systems. Although movement analyses are considered accurate, the availability of specific laboratories, high costs, and dependency on trained users sometimes limit its use in clinical practice. A variety of compact wearable sensors are available today and have allowed researchers and clinicians to pursue applications in which individuals are monitored in their homes and in community settings within different fields of study, such movement analysis. Wearable sensors may thus contribute to the implementation of quantitative movement analyses even during out-patient use to reduce evaluation times and to provide objective, quantifiable data on the patients’ capabilities, unobtrusively and continuously, for clinical purposes.

Research & information: general --- Biology, life sciences --- Biochemistry --- gait --- smoothness --- older adults --- accelerometer --- inertial measurement unit (IMU) --- upper extremity --- stroke --- biomechanical phenomena --- kinematics --- inertial measurement systems --- motion analysis --- wearable devices --- e-textile --- gait analysis --- m-health --- plantar pressure --- validation --- Internet of Things --- body sensor network --- inertial sensors --- ground reaction force --- spatio-temporal parameters --- wearable sensors --- decision trees --- foot drop stimulation --- symmetry --- inertial measurement sensor --- wearable inertial sensors --- marker-based optoelectronic system --- ACL --- rehabilitation --- motion capture validation --- upper limb --- Parkinson’s disease --- Box and Block test --- inertial sensors network --- biomechanics analysis --- kinematic data --- hand trajectories --- kinematic --- inertial measurement units --- angle-angle diagrams --- cyclograms --- obesity --- bradykinesia --- real-life --- naturalistic monitoring --- motor fluctuation --- wearable movement sensor --- IMU --- motion capture --- reliability --- clinical --- orthopedic --- sensory–motor gait disorders --- limb prosthesis --- spatial–temporal analysis --- symmetry index --- walking --- 6-min walking test --- wearable system --- inertial sensor --- RGB-D sensors --- optoelectronic system --- movement analysis --- hemiparesis --- n/a --- Parkinson's disease --- sensory-motor gait disorders --- spatial-temporal analysis

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Sports performance is primarily associated with elite sport, however, recreational athletes are increasingly attempting to emulate elite athletes. Performance optimization is distinctly multidisciplinary. Optimized training concepts and the use of state-of-the-art technologies are crucial for improving performance. However, sports performance enhancement is in constant conflict with the protection of athletes’ health. Notwithstanding the known positive effects of physical activity on health, the prevention and management of sports injuries remain major challenges to be addressed. Accordingly, this Special Issue on "Sports Performance and Health" consists of 17 original research papers, one review paper, and one commentary, and covers a wide range of topics related to fatigue, movement asymmetries, optimization of sports performance by training, technique, and/or tactics enhancements, prevention and management of sports injuries, optimization of sports equipment to increase performance and/or decrease the risk of injury, and innovations for sports performance, health, and load monitoring. As this Special Issue offers several new insights and multidisciplinary perspectives on sports performance and health, readers from around the world who work in these areas are expected to benefit from this Special Issue collection.

Medicine --- symmetry --- asymmetry --- foot --- force --- balance --- postural stability --- standing --- hurdling --- biomechanics --- hurdle clearance --- technique analysis --- collar height --- kinematics --- kinetics --- dynamic stability --- ankle injury --- range of motion --- basketball shooting --- proprioception --- ankle sprain --- taping --- soccer --- basketball --- prevention --- musculoskeletal disorders --- personalized treatment --- measurement --- healthy athletes --- jump performance --- smartphones --- My Jump 2 --- reliability --- validity --- training environment --- sports --- athletes --- interval training --- biological emotional evaluation --- sports sciences --- muscle activations --- electromyography --- slope walking --- backpack loads --- nicotinamide adenine dinucleotide --- training --- mitochondrion --- table tennis --- racket --- racket sports --- performance analysis --- game-actions --- strokes --- morphology --- isokinetic --- sprints --- vertical jump performance --- handball shooting --- agility --- strength --- power --- inter-limb asymmetry --- global navigation satellite system --- GPS --- IMU --- inertial motion capture --- pressure insoles --- ski racing --- alpine skiing --- athletes’ health --- epidemiology --- spine --- musculoskeletal injuries --- skiing simulation --- optical motion capture --- tensiometer --- ski waist-width --- knee injury --- wrist --- elbow --- shot --- accuracy --- RFD-SF --- badminton --- knee joint --- injury --- one-dimensional statistical parametric mapping --- eccentric --- alpine ski racing --- strength training --- supramaximal loads --- athlete safety --- n/a --- athletes' health

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Quantitative movement analysis is widely used in clinical practice and research to investigate movement disorders objectively and in a complete way. Conventionally, body segment kinematic and kinetic parameters are measured in gait laboratories using marker-based optoelectronic systems, force plates, and electromyographic systems. Although movement analyses are considered accurate, the availability of specific laboratories, high costs, and dependency on trained users sometimes limit its use in clinical practice. A variety of compact wearable sensors are available today and have allowed researchers and clinicians to pursue applications in which individuals are monitored in their homes and in community settings within different fields of study, such movement analysis. Wearable sensors may thus contribute to the implementation of quantitative movement analyses even during out-patient use to reduce evaluation times and to provide objective, quantifiable data on the patients’ capabilities, unobtrusively and continuously, for clinical purposes.

Research & information: general --- Biology, life sciences --- Biochemistry --- gait --- smoothness --- older adults --- accelerometer --- inertial measurement unit (IMU) --- upper extremity --- stroke --- biomechanical phenomena --- kinematics --- inertial measurement systems --- motion analysis --- wearable devices --- e-textile --- gait analysis --- m-health --- plantar pressure --- validation --- Internet of Things --- body sensor network --- inertial sensors --- ground reaction force --- spatio-temporal parameters --- wearable sensors --- decision trees --- foot drop stimulation --- symmetry --- inertial measurement sensor --- wearable inertial sensors --- marker-based optoelectronic system --- ACL --- rehabilitation --- motion capture validation --- upper limb --- Parkinson’s disease --- Box and Block test --- inertial sensors network --- biomechanics analysis --- kinematic data --- hand trajectories --- kinematic --- inertial measurement units --- angle-angle diagrams --- cyclograms --- obesity --- bradykinesia --- real-life --- naturalistic monitoring --- motor fluctuation --- wearable movement sensor --- IMU --- motion capture --- reliability --- clinical --- orthopedic --- sensory–motor gait disorders --- limb prosthesis --- spatial–temporal analysis --- symmetry index --- walking --- 6-min walking test --- wearable system --- inertial sensor --- RGB-D sensors --- optoelectronic system --- movement analysis --- hemiparesis --- n/a --- Parkinson's disease --- sensory-motor gait disorders --- spatial-temporal analysis