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Motion capture --- Budgettering --- Multimediaproductie --- AVD
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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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Les méthodes 3D de capture du mouvement sont en permanente évolution et utilisent constamment de nouvelles techniques d’acquisition dans le but d’atteindre des rendus toujours plus précis et réalistes. Parmi ces techniques d’acquisition 3D en pleine expansion, la photogrammétrie et la lasergrammétrie font leurs premiers pas en matière de capture de mouvement. Ce travail de fin d’études a pour objectif d’établir les perspectives d’utilisation de ces deux techniques d’acquisition en matière de capture de mouvement. Pour cela, trois hypothèses de recherches sont élaborées sur base d’une revue de la littérature existante ainsi que sur base de tests et d’essais effectués par nos soins préalablement en laboratoire. Le cœur du travail consiste en la traduction de ces trois hypothèses en trois méthodes d’acquisition, de traitement et de rendu 3D. Les perspectives de la photogrammétrie sont évaluées au travers de deux méthodes : l’une n’utilisant pas de marqueurs placés sur l’objet en mouvement et l’autre utilisant des marqueurs (QR Codes) placés sur l’objet en mouvement. Les perspectives de la lasergrammétrie sont, quant à elles, évaluées au travers d’une méthode d’extraction de points appartenant au mouvement par analyse de distance entre nuages de points. La mise en œuvre de ces trois méthodes et la synthèse des résultats obtenus permet de valider ou invalider chacune des trois hypothèses établies, ainsi que de tirer des conclusions sur les perspectives de l’utilisation de la photogrammétrie et de la lasergrammétrie en matière de capture de mouvement. 3D motion capture methods are constantly evolving and are constantly using new acquisition techniques in order to achieve even more accurate and realistic renderings. Among these rapidly expanding 3D acquisition techniques, photogrammetry and lasergrammetry are taking their first steps into motion capture. This document aims to establish the prospect of these two techniques of acquisition in motion capture. For this, three research hypotheses are developed based on a review of the existing literature as well as on the basis of tests carried out by us previously in laboratory. Most of the work consists of the translation of these three hypotheses into three methods of acquisition, processing and 3D rendering. Prospects of photogrammetry are evaluated through two methods: one using no markers placed on the moving object and the other using markers (QR Codes) placed on the moving object. Prospects of lasergrammetry are evaluated through a method of extracting points belonging to the movement with the help of distance analysis between points clouds. The implementation of these three methods and the synthesis of the results obtained allows us to validate or invalidate each of the three hypotheses established and to draw conclusions on the prospects of photogrammetry and lasergrammetry in motion capture.
Capture du mouvement --- Lasergrammétrie --- Photogrammétrie --- QR Code --- Animation 3D --- Context Capture --- CloudCompare --- 3DSMax --- Motion capture --- Lasergrammetry --- Photogrammetry --- QR Code --- 3D Animation --- Context Capture --- CloudCompare --- 3DSMax --- Ingénierie, informatique & technologie > Multidisciplinaire, généralités & autres
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Gamers have been troublemakers as long as games have existed. As our popular understanding of 'gamer' shifts beyond its historical construction as a white, straight, adolescent, cisgender male, the troubles that emerge both confirm and challenge our understanding of identity politics. Phillips excavates the turbulent relationships between surface and depth in contemporary gaming culture, taking readers under the hood of the mechanisms of video games in order to understand the ways that difference gets baked into its technological, ludic, ideological, and social systems. By centring the insights of queer and women of colour feminisms in readings of online harassment campaigns, industry animation practices, and popular video games like Portal and Mass Effect, Phillips adds essential analytical tools to our conversations about video games.
Video games. --- Information technology --- Computers and women. --- Internet and women. --- Social aspects. --- affect. --- agency. --- agonism. --- anger. --- animation. --- avatar. --- coalition. --- colonization. --- competition. --- difference. --- diversity. --- feminism. --- film theory. --- games. --- gaming. --- gaze. --- gender. --- harassment. --- identity politics. --- imitation. --- killjoy. --- ludology. --- magic circle. --- male gaze. --- motion capture. --- narratology. --- physiognomy. --- political theory. --- queer. --- race. --- racial science. --- realism. --- sexuality. --- technology. --- triangulation. --- video games. --- visuality.
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Many sensors are currently available at prices lower than USD 100 and cover a wide range of biological signals: motion, muscle activity, heart rate, etc. Such low-cost sensors have metrological features allowing them to be used in everyday life and clinical applications, where gold-standard material is both too expensive and time-consuming to be used. The selected papers present current applications of low-cost sensors in domains such as physiotherapy, rehabilitation, and affective technologies. The results cover various aspects of low-cost sensor technology from hardware design to software optimization.
Technology: general issues --- inertial sensor --- gait --- validity --- functional calibration --- accuracy --- wearable electronic devices --- kinematics --- head rotation --- ecological research --- gait analysis --- characterization --- smart insole --- vertical ground reaction forces --- force sensitive resistors --- piezoelectric sensors --- sensor calibration --- heart rate --- photoplethysmography --- PPG --- time-domain --- wearable device --- concurrent validity --- outcome assessment --- feasibility --- rehabilitation --- data fusion --- MARG --- IMU --- eye tracker --- self-contained --- head motion measurement --- motor variability --- actigraphy --- triaxial accelerometers --- jumping --- human-computer interaction --- affective technologies --- interaction design --- biosensing --- actuation --- somaesthetics --- design toolkits --- serious videogames --- motion capture --- upper limbs --- physical rehabilitation --- telerehabilitation --- inertial sensors --- inertial measurement unit (IMU) --- state of the art --- inertial sensor measurement systems --- motion accuracy --- Baduanjin --- physical education --- physiotherapy --- e-health --- motion sensing --- wireless charging --- wireless connectivity --- low power --- trunk --- upper extremity --- compensation --- reaching --- Kinect --- video motion capture --- reliability --- inertial sensor --- gait --- validity --- functional calibration --- accuracy --- wearable electronic devices --- kinematics --- head rotation --- ecological research --- gait analysis --- characterization --- smart insole --- vertical ground reaction forces --- force sensitive resistors --- piezoelectric sensors --- sensor calibration --- heart rate --- photoplethysmography --- PPG --- time-domain --- wearable device --- concurrent validity --- outcome assessment --- feasibility --- rehabilitation --- data fusion --- MARG --- IMU --- eye tracker --- self-contained --- head motion measurement --- motor variability --- actigraphy --- triaxial accelerometers --- jumping --- human-computer interaction --- affective technologies --- interaction design --- biosensing --- actuation --- somaesthetics --- design toolkits --- serious videogames --- motion capture --- upper limbs --- physical rehabilitation --- telerehabilitation --- inertial sensors --- inertial measurement unit (IMU) --- state of the art --- inertial sensor measurement systems --- motion accuracy --- Baduanjin --- physical education --- physiotherapy --- e-health --- motion sensing --- wireless charging --- wireless connectivity --- low power --- trunk --- upper extremity --- compensation --- reaching --- Kinect --- video motion capture --- reliability
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Many sensors are currently available at prices lower than USD 100 and cover a wide range of biological signals: motion, muscle activity, heart rate, etc. Such low-cost sensors have metrological features allowing them to be used in everyday life and clinical applications, where gold-standard material is both too expensive and time-consuming to be used. The selected papers present current applications of low-cost sensors in domains such as physiotherapy, rehabilitation, and affective technologies. The results cover various aspects of low-cost sensor technology from hardware design to software optimization.
Technology: general issues --- inertial sensor --- gait --- validity --- functional calibration --- accuracy --- wearable electronic devices --- kinematics --- head rotation --- ecological research --- gait analysis --- characterization --- smart insole --- vertical ground reaction forces --- force sensitive resistors --- piezoelectric sensors --- sensor calibration --- heart rate --- photoplethysmography --- PPG --- time-domain --- wearable device --- concurrent validity --- outcome assessment --- feasibility --- rehabilitation --- data fusion --- MARG --- IMU --- eye tracker --- self-contained --- head motion measurement --- motor variability --- actigraphy --- triaxial accelerometers --- jumping --- human-computer interaction --- affective technologies --- interaction design --- biosensing --- actuation --- somaesthetics --- design toolkits --- serious videogames --- motion capture --- upper limbs --- physical rehabilitation --- telerehabilitation --- inertial sensors --- inertial measurement unit (IMU) --- state of the art --- inertial sensor measurement systems --- motion accuracy --- Baduanjin --- physical education --- physiotherapy --- e-health --- motion sensing --- wireless charging --- wireless connectivity --- low power --- trunk --- upper extremity --- compensation --- reaching --- Kinect --- video motion capture --- reliability --- n/a
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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.
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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