Intelligent Sensors for Human Motion Analysis

• Autore: Krzeszowski Tomasz
• Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute, 2022
• Descrizione fisica: 1 online resource (382 p.)
• Soggetto topico: History of engineering and technology; Technology: general issues
• Soggetto non controllato: 3D human mesh reconstruction; 3D human pose estimation; 3D multi-person pose estimation; absolute poses; action units; aggregation function; anomaly detection; artifact classification; artifact detection; artificial intelligence; assessment; Azure Kinect; balance; Berg Balance Scale; BILSTM; biometrics; camera-centric coordinates; computer vision; convolutional neural networks; COVID-19; cyber-physical systems; data augmentation; deep learning; deep neural network; deep-learning; development; diagnosis; elderly; EMG; F-Formation; facial expression recognition; facial landmarks; fall risk detection; features fusion; features selection; FFNN; FMCW; fuzzy inference; gait analysis; gait parameters; gait recognition; gap filling; generalization; graph convolutional networks; grey wolf optimization; GRU; human action recognition; human motion analysis; human motion modelling; human tracking; Kinect v2; kinematics; knowledge measure; LSTM; machine learning; markerless; markerless motion capture; MFCC; modular sensing unit; motion capture; movement tracking; n/a; neural networks; optical sensing principle; particle swarm optimization; pattern recognition; plantar pressure measurement; pose estimation; posture detection; precedence indicator; recognition; reconstruction; regularized discriminant analysis; RGB-D sensors; robot; rule induction; skeletal data; socially occupied space; telemedicine; time series classification; vital sign; whale optimization algorithm; XGBoost; Zed 2i
• Persona (resp. second.): ŚwitońskiAdam; KepskiMichal; CalafateCarlos Tavares; KrzeszowskiTomasz
• Sommario/riassunto: The book, "Intelligent Sensors for Human Motion Analysis," contains 17 articles published in the Special Issue of the Sensors journal. These articles deal with many aspects related to the analysis of human movement. New techniques and methods for pose estimation, gait recognition, and fall detection have been proposed and verified. Some of them will trigger further research, and some may become the backbone of commercial systems.
• Titolo autorizzato: Intelligent Sensors for Human Motion Analysis
• ISBN: 3-0365-5074-7
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910619469003321
• Lo trovi qui: Univ. Federico II