Human Behavior Understanding in Networked Sensing

This unique text/reference provides a broad overview of both the technical challenges in sensor network development, and the real-world applications of distributed sensing. Important aspects of distributed computing in large-scale networked sensor systems are analyzed in the context of human behavior understanding, including such topics as systems design tools and techniques, in-network signals, and information processing. Additionally, the book examines a varied range of application scenarios, covering surveillance, indexing and retrieval, patient care, industrial safety, social and ambient intelligence, and sports analysis. Topics and features: Contains valuable contributions from an international selection of leading experts in the field Presents a high-level introduction to the aims and motivations underpinning distributed sensing Describes decision-making algorithms in the presence of complex sensor networks Provides a detailed analysis of the design, implementation, and development of a distributed network of homogeneous or heterogeneous sensors Reviews the application of distributed sensing to human behavior understanding and autonomous intelligent vehicles Includes a helpfu