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Sensor Data Understanding.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Grzegorzek, Marcin
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin : Logos Verlag Berlin, 2017.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Intro; Preface; I Introduction; Fundamental Concept; Motivation; Active and Assisted Living; Digital Medicine; Outline and Contribution; References; II Visual Scene Analysis; Large-Scale Multimedia Retrieval; Hierarchical Organisation of Semantic Meanings; Concept Detection; Global versus Local Features; Feature Learning; Event Retrieval; Event Retrieval within Images/Shots; Event Retrieval over Shot Sequences; Conclusion and Future Trends; Reasoning; Uncertainties in Concept Detection; Adaptive Learning; References; Shape-Based Object Recognition; Problem Statement and Motivation.
  • Shape RepresentationSurvey of Related Methods; Coarse-grained Shape Representation; Fine-grained Shape Representation; Shape Matching; Survey of Related Methods; Shape Matching using Coarse-grained Features; Shape Matching using Fine-grained Features; Experiments and Results; Shape Retrieval using Coarse-grained Features; Shape Retrieval using Fine-grained Features; Conclusion and Future Trends; References; Moving Object Analysis for Video Interpretation; Object Tracking in 2D Video; Survey of Related Approaches; Tracking-Learning-Detection; Tracking in Omnidirectional Video.
  • Experiments and Results3D Trajectory Extraction from 2D Video; RJ-MCMC Particle Filtering; Convoy Detection in Crowded Video; Experiments and Results; Conclusion and Future Trends; References; III Human Data Interpretation; Physical Activity Recognition; Atomic Activity Recognition; Survey of Related Approaches; Codebook Approach for Classification; Experiments and Results; Gait Recognition; Survey or Related Approaches; Spatiotemporal Representation of Gait; Experiments and Results; Conclusion and Future Trends; References; Cognitive Activity Recognition.
  • Definition, Taxonomy, Impact on HealthSensing the Brain Activity; Electroencephalography; Electrooculography; Functional Magnetic Resonance Imaging; Functional Near-InfraRed Spectroscopy; Survey of Related Methods; Electrooculography-Based Approach; Cognitive Activity Recognition Method; Investigating Codewords; Application and Validation; Collecting a Dataset; Implementation Details; Results for Cognitive Activity Recognition; Results for Codewords Investigation; Conclusion and Future Trends; References; Emotion Recognition; Automatic Recognition of Emotions.
  • Definition and Taxonomy of EmotionsExisting Techniques for Emotion Recognition; Emotion Recognition Challenges; Multimodal Emotion Recognition; Arousal/Valence Estimation; Basic Emotion Recognition; Approaches Based on Physiological Data; Stress Detection Using Hand-crafted Features; Codebook Approach for Feature Generation; Deep Neural Networks for Feature Generation; Conclusion and Future Trends; References; IV Conclusion; Summary and Future Vision; Visual Scene Analysis; Human Data Interpretation; Data-Driven Society; References; List of Figures; List of Tables.