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This work presents an approach to data-driven motion generation for humanoid robots, which is based on the observation and analysis of human whole-body motions. To this end, we investigate how captured human motions can be represented, classified and organized in a large-scale motion database. The statistical modeling of the transitions between characteristic whole-body poses enables the subsequent generation of multi-contact motions.
Ganzkörperbewegung --- robotics --- motion generation --- Bewegungsgenerierung --- menschliche Bewegungsanalyse --- humanoid robotics --- human motion analysis --- Robotik --- humanoide Robotik --- whole-body motion
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This work is a compilation of fundamental solutions (or Green's functions) for classical or canonical problems in elastodynamics presented with a common format and notation. These formulas describe the displacements and stresses elicited by dynamic sources in solid elastic media like full spaces, half-spaces, strata and plates in both two and three dimensions, using the three major coordinate systems (Cartesian, cylindrical and spherical), and also for transient and harmonic motions. Such formulas are useful for numerical methods and practical application to problems of wave propagation in elasticity, soil dynamics, earthquake engineering, mechanical vibration, or geophysics. These formulas were heretofore only found scattered throughout the literature. The solutions are tabulated without proof, but giving reference to appropriate modern papers and books containing full derivations. Most formulas in the book have been programmed and tested within the MATLAB environment. The program listings are available for free download on the book's website.
Dynamics --- Elasticity --- Green's functions --- 531.38 --- 531.38 Other motions of a solid body. Motion about a fixed point. Motion about an axis etc. Bodies of rotation. Gyroscopes. Spinning tops --- Other motions of a solid body. Motion about a fixed point. Motion about an axis etc. Bodies of rotation. Gyroscopes. Spinning tops --- Elastic properties --- Young's modulus --- Mathematical physics --- Matter --- Statics --- Rheology --- Strains and stresses --- Strength of materials --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Functions, Green's --- Functions, Induction --- Functions, Source --- Green functions --- Induction functions --- Source functions --- Differential equations --- Potential theory (Mathematics) --- Properties --- Elasticity. --- Dynamics. --- Green's functions.
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The starting point for Dusan Makavejev's controversial and explicit film is Wilhelm Reich, the Marxist psychoanalyst who preached social improvement through sexual enlightenment. Reich is a maverick intellectual, sexual pioneer, and theorist of "Orgone energy," but also of "world revolution." By juxtaposing hippie America and Cold War Yugoslavia, Dusan Makavejev stages an encounter between psychotherapy and Marxism, sexual permissiveness and socialism. For Raymond Durgnat 'WR' is an adventure playground that the film's spectators enter and interact with. It's intellectual cinema, and a film that prophesied the horror of the conflict in what is now the former Yugoslavia.
Motion pictures --- Cinéma --- Makavejev, Dusan --- WR-- misteriste organizma (Motion picture). --- WR--Mystères de l'organisme (film) --- W.R., misterije organizma (Motion picture) --- Raymond Durgnat --- film --- filmgeschiedenis --- Makavejev Dusan --- WR - Mysteries of the Organism --- WR - Misterije Organizma --- 791.471 MAKAVEJEV --- W.R., misterije organizma (Motion picture). --- Cinéma --- WR--Mystères de l'organisme (film) --- Makavejev, Dušan. --- WR, mysteries of the organism (Motion picture) --- Mystery of body (Motion picture) --- W.R., mysteries of the organism (Motion picture)
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Disasters such as earthquakes, cyclones, floods, heat waves, nuclear accidents, and large-scale pollution incidents take lives and incur major health problems. The majority of large-scale disasters affect the most vulnerable populations, which often comprise extreme ages, remote living areas, and endemic poverty, as well as people with low literacy. Health emergency and disaster risk management (Health-EDRM) refers to the systematic analysis and management of health risks surrounding emergencies and disasters, and plays an important role in reducing the hazards and vulnerability along with extending preparedness, responses, and recovery measures. This concept encompasses risk analyses and interventions, such as accessible early warning systems, the timely deployment of relief workers, and the provision of suitable drugs and medical equipment to decrease the impact of disasters on people before, during, and after an event (or events). Currently, there is a major gap in the scientific literature regarding Health-EDRM to facilitate major global policies and initiatives for disaster risk reduction worldwide.
Public health & preventive medicine --- infection spread and control --- infection risk --- human behavior --- close contact --- sensor-based --- indoor environment --- indoor positioning --- head and body motion --- open-plan office --- disaster --- psychosocial impacts --- community resilience --- Kumamoto earthquake --- DMHISS --- disaster psychiatry --- Japan --- acute mental health needs --- duration of activity --- DPAT (Disaster Psychiatric Assistance Team) --- cold --- personal health protective behaviour --- associated factors --- risk perception --- subtropical city --- disaster responders --- support --- psychosocial --- risk management --- COVID-19 --- urban --- health risks --- Health-Emergency and Disaster Risk Management --- biological hazard --- pandemic --- PHEIC --- Hong Kong --- Fukushima nuclear accident --- mass media --- Internet --- public health practice --- community mental health services --- typhoon --- hurricane --- cyclone --- strong wind levels --- natural disaster --- Health-EDRM --- risk-taking behaviour --- sensation seeking --- landslide displacement --- predictive uncertainty --- ensemble prediction --- probability combination scheme --- quantile regression neural networks (QRNNs) --- kernel density estimation (KDE) --- Daegu --- sense of belonging --- pride --- mental health --- disaster relief fund --- non-communicable disease --- self-care --- NCD management --- home care --- early phase of pandemic --- health-EDRM --- primary prevention --- vector-borne disease --- biological hazards --- climate change --- narrative review --- Asia Pacific --- Health EDRM --- long-term impact --- public health --- case study --- disaster management --- multi-case analysis --- Europe --- flood --- elderly --- cardiovascular diseases --- cerebrovascular diseases --- H-EDRM --- extreme temperature --- socioeconomic vulnerability --- health disparities --- n/a
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Because of the accelerating progress in biometrics research and the latest nation-state threats to security, this book's publication is not only timely but also much needed. This volume contains seventeen peer-reviewed chapters reporting the state of the art in biometrics research: security issues, signature verification, fingerprint identification, wrist vascular biometrics, ear detection, face detection and identification (including a new survey of face recognition), person re-identification, electrocardiogram (ECT) recognition, and several multi-modal systems. This book will be a valuable resource for graduate students, engineers, and researchers interested in understanding and investigating this important field of study.
Technology: general issues --- online signature verification --- shape contexts --- function features --- SC-DTW --- symbolic representation --- two-stage method --- finger features --- multimodal recognition --- local coding --- Gabor filter --- LGS --- human identification --- biomarker --- ECG --- machine learning --- Physionet --- Lviv Biometric Dataset --- biometry --- identification --- bloodstream --- image recognition --- multi-biometrics --- bit planes --- block --- mutual information --- cross-device --- dorsal hand vein recognition --- person re-identification --- superpixel --- temporally aligned pooling --- walking cycle --- automatic recognition --- face --- voice --- body motion --- autism spectrum disorder (ASD) --- assessment --- intervention --- curve similarity --- curve similarity model --- curve similarity transformation --- similarity distance --- segmentation matching --- evolutionary computation --- finger vein recognition --- hand vein recognition --- contactless acquisition device --- public vascular pattern dataset --- biometric recognition performance evaluation --- face verification --- optical correlation --- Hausdorff distance --- image classification --- face detection --- depth map ensemble --- filtering --- geometric deep learning --- ear detection --- structured prediction --- semantic segmentation --- rotation equivariance --- Gaussian mixture model --- superpixels --- face recognition systems --- person identification --- biometric systems --- survey --- automatic signature verification --- touch-screen sensor --- data quality --- enrollment phase --- performance assessment --- augmented signature --- security enhancement --- mobile conditions --- biometric recognition --- visible light iris images --- image quality assessment --- image covariates --- quality filtering --- vascular biometric recognition --- wrist vein recognition --- contactless dataset --- pattern recognition --- infrared camera --- non-contact devices --- Scale-Invariant Feature Transform (SIFT®) --- Speeded Up Robust Features (SURF®) --- Oriented FAST and Rotated BRIEF (ORB) --- fingerprint --- presentation attack detection --- deep learning
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The optimization of motion and trajectory planning is an effective and usually costless approach to improving the performance of robots, mechatronic systems, automatic machines and multibody systems. Indeed, wise planning increases precision and machine productivity, while reducing vibrations, motion time, actuation effort and energy consumption. On the other hand, the availability of optimized methods for motion planning allows for a cheaper and lighter system construction. The issue of motion planning is also tightly linked with the synthesis of high-performance feedback and feedforward control schemes, which can either enhance the effectiveness of motion planning or compensate for its gaps. To collect and disseminate a meaningful collection of these applications, this book proposes 15 novel research studies that cover different sub-areas, in the framework of motion planning and control.
History of engineering & technology --- humanoid robot --- walk fast --- rotational slip --- ZMP --- gait planning --- quadruped robot --- whole robot control --- location trajectory --- dynamic gait --- fin stabilizer --- command-filtered backstepping --- sliding mode control --- prescribed performance --- disturbance observer --- OES --- inertial stability accuracy --- low-speed performance --- speed observation --- disturbance observation --- state-augmented Kalman filter --- composed control scheme --- fractional calculus --- FOPD controller --- underwater vehicle --- motion control --- modal analysis --- flexible multibody systems --- linearized models --- six-legged robot --- whole-body motion planning --- rugged terrain --- support --- swing --- gesture-based teleoperation --- robotic assembly --- force feedback --- compliant robot motion --- pickup manipulator --- adaptive genetic algorithm --- trajectory optimization --- improved artificial potential field method --- obstacle avoidance planning --- robust estimation --- dynamic model --- unknown but bounded noise --- extended set-membership filter --- dynamic balancing --- shaking force balancing --- acceleration control of the center of mass --- fully Cartesian coordinates --- natural coordinates --- parallel manipulators --- passive model --- biped walking --- Impact and contact --- friction force --- dissipative force --- energy efficiency --- robot --- motion design --- functional redundancy --- UR5 --- hybrid navigation system --- weighted-sum model --- a heuristic algorithm --- piecewise cubic Bézier curve --- mobile robot --- n/a
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Because of the accelerating progress in biometrics research and the latest nation-state threats to security, this book's publication is not only timely but also much needed. This volume contains seventeen peer-reviewed chapters reporting the state of the art in biometrics research: security issues, signature verification, fingerprint identification, wrist vascular biometrics, ear detection, face detection and identification (including a new survey of face recognition), person re-identification, electrocardiogram (ECT) recognition, and several multi-modal systems. This book will be a valuable resource for graduate students, engineers, and researchers interested in understanding and investigating this important field of study.
online signature verification --- shape contexts --- function features --- SC-DTW --- symbolic representation --- two-stage method --- finger features --- multimodal recognition --- local coding --- Gabor filter --- LGS --- human identification --- biomarker --- ECG --- machine learning --- Physionet --- Lviv Biometric Dataset --- biometry --- identification --- bloodstream --- image recognition --- multi-biometrics --- bit planes --- block --- mutual information --- cross-device --- dorsal hand vein recognition --- person re-identification --- superpixel --- temporally aligned pooling --- walking cycle --- automatic recognition --- face --- voice --- body motion --- autism spectrum disorder (ASD) --- assessment --- intervention --- curve similarity --- curve similarity model --- curve similarity transformation --- similarity distance --- segmentation matching --- evolutionary computation --- finger vein recognition --- hand vein recognition --- contactless acquisition device --- public vascular pattern dataset --- biometric recognition performance evaluation --- face verification --- optical correlation --- Hausdorff distance --- image classification --- face detection --- depth map ensemble --- filtering --- geometric deep learning --- ear detection --- structured prediction --- semantic segmentation --- rotation equivariance --- Gaussian mixture model --- superpixels --- face recognition systems --- person identification --- biometric systems --- survey --- automatic signature verification --- touch-screen sensor --- data quality --- enrollment phase --- performance assessment --- augmented signature --- security enhancement --- mobile conditions --- biometric recognition --- visible light iris images --- image quality assessment --- image covariates --- quality filtering --- vascular biometric recognition --- wrist vein recognition --- contactless dataset --- pattern recognition --- infrared camera --- non-contact devices --- Scale-Invariant Feature Transform (SIFT®) --- Speeded Up Robust Features (SURF®) --- Oriented FAST and Rotated BRIEF (ORB) --- fingerprint --- presentation attack detection --- deep learning
Choose an application
The optimization of motion and trajectory planning is an effective and usually costless approach to improving the performance of robots, mechatronic systems, automatic machines and multibody systems. Indeed, wise planning increases precision and machine productivity, while reducing vibrations, motion time, actuation effort and energy consumption. On the other hand, the availability of optimized methods for motion planning allows for a cheaper and lighter system construction. The issue of motion planning is also tightly linked with the synthesis of high-performance feedback and feedforward control schemes, which can either enhance the effectiveness of motion planning or compensate for its gaps. To collect and disseminate a meaningful collection of these applications, this book proposes 15 novel research studies that cover different sub-areas, in the framework of motion planning and control.
humanoid robot --- walk fast --- rotational slip --- ZMP --- gait planning --- quadruped robot --- whole robot control --- location trajectory --- dynamic gait --- fin stabilizer --- command-filtered backstepping --- sliding mode control --- prescribed performance --- disturbance observer --- OES --- inertial stability accuracy --- low-speed performance --- speed observation --- disturbance observation --- state-augmented Kalman filter --- composed control scheme --- fractional calculus --- FOPD controller --- underwater vehicle --- motion control --- modal analysis --- flexible multibody systems --- linearized models --- six-legged robot --- whole-body motion planning --- rugged terrain --- support --- swing --- gesture-based teleoperation --- robotic assembly --- force feedback --- compliant robot motion --- pickup manipulator --- adaptive genetic algorithm --- trajectory optimization --- improved artificial potential field method --- obstacle avoidance planning --- robust estimation --- dynamic model --- unknown but bounded noise --- extended set-membership filter --- dynamic balancing --- shaking force balancing --- acceleration control of the center of mass --- fully Cartesian coordinates --- natural coordinates --- parallel manipulators --- passive model --- biped walking --- Impact and contact --- friction force --- dissipative force --- energy efficiency --- robot --- motion design --- functional redundancy --- UR5 --- hybrid navigation system --- weighted-sum model --- a heuristic algorithm --- piecewise cubic Bézier curve --- mobile robot --- n/a
Choose an application
Disasters such as earthquakes, cyclones, floods, heat waves, nuclear accidents, and large-scale pollution incidents take lives and incur major health problems. The majority of large-scale disasters affect the most vulnerable populations, which often comprise extreme ages, remote living areas, and endemic poverty, as well as people with low literacy. Health emergency and disaster risk management (Health-EDRM) refers to the systematic analysis and management of health risks surrounding emergencies and disasters, and plays an important role in reducing the hazards and vulnerability along with extending preparedness, responses, and recovery measures. This concept encompasses risk analyses and interventions, such as accessible early warning systems, the timely deployment of relief workers, and the provision of suitable drugs and medical equipment to decrease the impact of disasters on people before, during, and after an event (or events). Currently, there is a major gap in the scientific literature regarding Health-EDRM to facilitate major global policies and initiatives for disaster risk reduction worldwide.
infection spread and control --- infection risk --- human behavior --- close contact --- sensor-based --- indoor environment --- indoor positioning --- head and body motion --- open-plan office --- disaster --- psychosocial impacts --- community resilience --- Kumamoto earthquake --- DMHISS --- disaster psychiatry --- Japan --- acute mental health needs --- duration of activity --- DPAT (Disaster Psychiatric Assistance Team) --- cold --- personal health protective behaviour --- associated factors --- risk perception --- subtropical city --- disaster responders --- support --- psychosocial --- risk management --- COVID-19 --- urban --- health risks --- Health-Emergency and Disaster Risk Management --- biological hazard --- pandemic --- PHEIC --- Hong Kong --- Fukushima nuclear accident --- mass media --- Internet --- public health practice --- community mental health services --- typhoon --- hurricane --- cyclone --- strong wind levels --- natural disaster --- Health-EDRM --- risk-taking behaviour --- sensation seeking --- landslide displacement --- predictive uncertainty --- ensemble prediction --- probability combination scheme --- quantile regression neural networks (QRNNs) --- kernel density estimation (KDE) --- Daegu --- sense of belonging --- pride --- mental health --- disaster relief fund --- non-communicable disease --- self-care --- NCD management --- home care --- early phase of pandemic --- health-EDRM --- primary prevention --- vector-borne disease --- biological hazards --- climate change --- narrative review --- Asia Pacific --- Health EDRM --- long-term impact --- public health --- case study --- disaster management --- multi-case analysis --- Europe --- flood --- elderly --- cardiovascular diseases --- cerebrovascular diseases --- H-EDRM --- extreme temperature --- socioeconomic vulnerability --- health disparities --- n/a
Choose an application
Because of the accelerating progress in biometrics research and the latest nation-state threats to security, this book's publication is not only timely but also much needed. This volume contains seventeen peer-reviewed chapters reporting the state of the art in biometrics research: security issues, signature verification, fingerprint identification, wrist vascular biometrics, ear detection, face detection and identification (including a new survey of face recognition), person re-identification, electrocardiogram (ECT) recognition, and several multi-modal systems. This book will be a valuable resource for graduate students, engineers, and researchers interested in understanding and investigating this important field of study.
Technology: general issues --- online signature verification --- shape contexts --- function features --- SC-DTW --- symbolic representation --- two-stage method --- finger features --- multimodal recognition --- local coding --- Gabor filter --- LGS --- human identification --- biomarker --- ECG --- machine learning --- Physionet --- Lviv Biometric Dataset --- biometry --- identification --- bloodstream --- image recognition --- multi-biometrics --- bit planes --- block --- mutual information --- cross-device --- dorsal hand vein recognition --- person re-identification --- superpixel --- temporally aligned pooling --- walking cycle --- automatic recognition --- face --- voice --- body motion --- autism spectrum disorder (ASD) --- assessment --- intervention --- curve similarity --- curve similarity model --- curve similarity transformation --- similarity distance --- segmentation matching --- evolutionary computation --- finger vein recognition --- hand vein recognition --- contactless acquisition device --- public vascular pattern dataset --- biometric recognition performance evaluation --- face verification --- optical correlation --- Hausdorff distance --- image classification --- face detection --- depth map ensemble --- filtering --- geometric deep learning --- ear detection --- structured prediction --- semantic segmentation --- rotation equivariance --- Gaussian mixture model --- superpixels --- face recognition systems --- person identification --- biometric systems --- survey --- automatic signature verification --- touch-screen sensor --- data quality --- enrollment phase --- performance assessment --- augmented signature --- security enhancement --- mobile conditions --- biometric recognition --- visible light iris images --- image quality assessment --- image covariates --- quality filtering --- vascular biometric recognition --- wrist vein recognition --- contactless dataset --- pattern recognition --- infrared camera --- non-contact devices --- Scale-Invariant Feature Transform (SIFT®) --- Speeded Up Robust Features (SURF®) --- Oriented FAST and Rotated BRIEF (ORB) --- fingerprint --- presentation attack detection --- deep learning
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