Intelligent Sensors for Human Motion Analysis

• Autore: Krzeszowski Tomasz
• Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute, 2022
• Descrizione fisica: 1 electronic resource (382 p.)
• Soggetto topico: Technology: general issues; History of engineering & technology
• Soggetto non controllato: gait recognition; biometrics; regularized discriminant analysis; particle swarm optimization; grey wolf optimization; whale optimization algorithm; FMCW; vital sign; XGBoost; MFCC; COVID-19; 3D human pose estimation; deep learning; generalization; optical sensing principle; modular sensing unit; plantar pressure measurement; gait parameters; 3D human mesh reconstruction; deep neural network; motion capture; neural networks; reconstruction; gap filling; FFNN; LSTM; BILSTM; GRU; pose estimation; movement tracking; computer vision; artificial intelligence; markerless motion capture; assessment; kinematics; development; machine learning; human action recognition; features fusion; features selection; recognition; fall risk detection; balance; Berg Balance Scale; human tracking; elderly; telemedicine; diagnosis; precedence indicator; knowledge measure; fuzzy inference; rule induction; posture detection; aggregation function; markerless; human motion analysis; gait analysis; data augmentation; skeletal data; time series classification; EMG; pattern recognition; robot; cyber-physical systems; RGB-D sensors; human motion modelling; F-Formation; Kinect v2; Azure Kinect; Zed 2i; socially occupied space; facial expression recognition; facial landmarks; action units; convolutional neural networks; graph convolutional networks; artifact classification; artifact detection; anomaly detection; 3D multi-person pose estimation; absolute poses; camera-centric coordinates; deep-learning
• 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