LEADER 03755nam 22006255 450 001 9910999785803321 005 20250426124714.0 010 $a3-031-83655-3 024 7 $a10.1007/978-3-031-83655-8 035 $a(CKB)38641863700041 035 $a(DE-He213)978-3-031-83655-8 035 $a(MiAaPQ)EBC32029730 035 $a(Au-PeEL)EBL32029730 035 $a(EXLCZ)9938641863700041 100 $a20250426d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRehabilitation Robotics $eKinematics, Dynamics, and Control Techniques /$fby Manuel Cardona, Fernando E. Serrano 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (VIII, 184 p. 126 illus.) 311 08$a3-031-83654-5 327 $aIntroduction -- Fundamentals of Exoskeleton Robots for Rehabilitation -- Mathematical Tools for Exoskeleton Robots.-Kinematics Analysis of Exoskeleton Robots -- Geometrical Approach -- Denavit & Hartenberg Method -- Successive Screw Method -- Dynamics Analysis of Exoskeleton Robots -- Newton-Euler Formulation -- Lagrange-Euler Approach -- Dalembert General Formulation -- Dynamic Solution Based on Dynamic Simulation.-Control Techniques for Exoskeleton Robots -- Robust Control Strategies -- Robust Control Lyapunov Functions -- Impedance Control -- Adaptive Control -- Uncertainties Found in Dynamic Systems. 330 $aRehabilitation robotics is an important field of study focused on improving the gait rehabilitation of people affected by neurological disorders, ictus, cerebral palsy, and spinal cord injuries, among others. The study of rehabilitation robotics includes medical activities, kinematics dynamics, and control analysis. This book presents a complete and exhaustive analysis of the kinematics and dynamics of exoskeleton robots for rehabilitation. The forward and inverse kinematics are studied using the geometric, Denavit-Hartenberg, and screw theory approach. The dynamics analysis of exoskeleton robots using Newton-Euler, Euler?Lagrange, and D'Alembert formulation are also studied. Moreover, the main control techniques for exoskeleton robots are analyzed, including robust control, impedance control, adaptive control, Lyapunov functions, and uncertainties found in dynamic systems. The book includes MATLAB applications and examples. Includes MATLAB applications and examples; Presents state of the art of exoskeleton robots for rehabilitation; Covers fundamental rehabilitation concepts. 606 $aBiomedical engineering 606 $aRobotics 606 $aBiomechanics 606 $aHuman-machine systems 606 $aBiomedical Engineering and Bioengineering 606 $aRobotic Engineering 606 $aBiomechanical Analysis and Modeling 606 $aBiomedical Devices and Instrumentation 606 $aHuman-Machine Interfaces 615 0$aBiomedical engineering. 615 0$aRobotics. 615 0$aBiomechanics. 615 0$aHuman-machine systems. 615 14$aBiomedical Engineering and Bioengineering. 615 24$aRobotic Engineering. 615 24$aBiomechanical Analysis and Modeling. 615 24$aBiomedical Devices and Instrumentation. 615 24$aHuman-Machine Interfaces. 676 $a610.28 700 $aCardona$b Manuel$4aut$4http://id.loc.gov/vocabulary/relators/aut$045558 702 $aSerrano$b Fernando E$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910999785803321 996 $aRehabilitation Robotics$94375486 997 $aUNINA LEADER 03892nam 22006615 450 001 9910890172403321 005 20250807140247.0 010 $a981-9753-65-1 024 7 $a10.1007/978-981-97-5365-9 035 $a(MiAaPQ)EBC31692542 035 $a(Au-PeEL)EBL31692542 035 $a(CKB)36231100500041 035 $a(DE-He213)978-981-97-5365-9 035 $a(EXLCZ)9936231100500041 100 $a20240928d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSustainable IoT and Data Analytics Enabled Machine Learning Techniques and Applications /$fedited by V. Ajantha Devi 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (179 pages) 225 1 $aContributions to Environmental Sciences & Innovative Business Technology,$x2731-8311 311 08$a981-9753-64-3 327 $aLeveraging IoT Based CNN for Streamlining Business Application -- Intelligent Electric Vehicles: Leveraging AI-IoT for Sustainable Mobility -- Internet of Things Enabled Deep Convolutional Neural Network Model for Breast Cancer Classification -- Application of Machine Learning in Cyber Security: A Technological Perceptive -- Statistical Surveillance for Host-based Intrusion Detection System (HIDS): An Intelligent System for Automation -- IoT for Healthcare: A Sustainable Approach -- A NOVEL TRUST BASED FRAMEWORK FOR SECURED VANETs IN FUTURE -- Big Data and IOT based Flood Monitoring using Deep Neural Network -- Role of Artificial Intelligence in Design & Implementation of Healthcare Web Based Application ?Carefree Bharat? focusing Sustainable Development. 330 $aThis book provides a structured presentation of machine learning related to vision, speech, and natural language processing. It addresses the tools, techniques, and challenges of machine learning algorithm implementation, computation time, and the complexity of reasoning and modeling of different types of data. The book covers diverse topics such as semantic image segmentation, deep visual residual abstraction, brain?computer interfaces, natural language processing, traffic and signaling, driverless driving, and radiology. The majority of smart applications have a need for a sustainable Internet of things (IoT) and artificial intelligence. Active research trends and future directions of machine learning under big data analytics are also discussed. Machine learning is a class of artificial neural networks that have become dominant in various computer vision tasks, attracting interest across a variety of domains as they are a type of deep neural networks efficient in extracting meaningful information from visual imagery. 410 0$aContributions to Environmental Sciences & Innovative Business Technology,$x2731-8311 606 $aSustainability 606 $aInternet of things 606 $aMachine learning 606 $aBig data 606 $aArtificial intelligence 606 $aSustainability 606 $aInternet of Things 606 $aMachine Learning 606 $aBig Data 606 $aArtificial Intelligence 615 0$aSustainability. 615 0$aInternet of things. 615 0$aMachine learning. 615 0$aBig data. 615 0$aArtificial intelligence. 615 14$aSustainability. 615 24$aInternet of Things. 615 24$aMachine Learning. 615 24$aBig Data. 615 24$aArtificial Intelligence. 676 $a304.2 700 $aDevi$b V. Ajantha$01762115 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910890172403321 996 $aSustainable IoT and Data Analytics Enabled Machine Learning Techniques and Applications$94249039 997 $aUNINA