Yang Cai – författare

Ambient Diagnostics addresses innovative methods for discovering patterns from affordable devices, such as mobile phones, watches, cameras, and game interfaces, to interpret multimedia data for personal health monitoring and diagnosis. This is the first comprehensive textbookon multidisciplinary innovations in affordable healthcare—from sensory fusion, pattern detection, to classification.

Connecting the Dots

The material in this book combines sensing, pattern recognition, and visual design, and is divided into four parts, which cover fundamentals, multimedia intelligence, pervasive sensors, and crowdsourcing. The author describes basic pattern discovery models, sound, color, motion and video analytics, and pattern discovery from games and social networks. Each chapter contains the material’s main concepts, as well as case studies, and extensive study questions.

Covers Multimedia Intelligence Extensively

Ambient Diagnostics includes concepts for ambient technologies such as point-and-search, the pill camera, active sensing with Kinect, digital human labs, negative and relative feature spaces, and semantic representations. The book also introduces methods for collective intelligence from online video games and social media.

The author organizes the book into three parts. He starts by describing primitive problem-solving, discussing topics like default mode, learning, tool-making, pheromones and foraging. Part two then explores behavioral models of instinctive cognition by looking at the perception of motion and event patterns, appearance and gesture, behavioral dynamics, figurative thinking, and creativity. The book concludes by exploring instinctive computing in modern cybernetics, including models of self-awareness, stealth, visual privacy, navigation, autonomy, and survivability.

Instinctive Computing reflects upon systematic thinking for designing cyber-physical systems and it would be a stimulating reading for those who are interested in artificial intelligence, cybernetics, ethology, human-computer interaction, data science, computer science, security and privacy, social media, or autonomous robots.

Many difficult scientific discovery tasks can only be solved in interactive ways, by combining intelligent computing techniques with intuitive and adaptive user interfaces. It is inevitable to use human intelligence in scientific discovery systems: human eyes can capture complex patterns and relationships, along with detecting the exceptional cases in a data set; the human brain can easily manipulate perceptions to make decisions.

Ambient intelligence is about this kind of ubiquitous and autonomous human interaction with information. Scientific discovery is a process of creative perception and communication, dealing with questions like: how do we significantly reduce information while maintaining meaning, or how do we extract patterns from massive data and growing data resources.

Originating from the SIGCHI Workshop on Ambient Intelligence for Scientific Discovery, this state-of-the-art survey is organized in three parts: new paradigms in scientific discovery, ambient cognition, and ambient intelligence systems. Many chapters share common features such as interaction, vision, language, and biomedicine.

Ambient Intelligence refers to smart electronic environments that are sensitive and responsive to the presence of people. Since its introduction in the late 1990s, this vision has matured, having become quite influential in the development of new concepts for information processing as well as combining multi-disciplinary fields including computer science, electrical engineering, industrial design, architectural design, user interfaces, and cognitive science.

Originating from the Workshop on Ambient Intelligence in Everyday Life held at the Miramar Congress Center, San Sebastian, Spain, in July 2005, this book is devoted to the cognitive aspects of ambient intelligence. The 15 carefully reviewed and revised articles presented are organized in topical sections on human-centric computing, ambient interfaces, and architectures for ambient intelligence.

Simplicity in nature is the ultimate sophistication. The world''s magnificence has been enriched by the inner drive of instincts, the profound drive of our everyday life. Instinct is an inherited behavior that responds to environmental stimuli. Instinctive computing is a computational simulation of biological and cognitive instincts, which influence how we see, feel, appear, think and act. If we want a computer to be genuinely secure, intelligent, and to interact naturally with us, we must give computers the ability to recognize, understand, and even to have primitive instincts.

This book, Computing with Instincts, comprises the proceedings of the Instinctive Computing Workshop held at Carnegie Mellon University in the summer of 2009. It is the first state-of-the-art survey on this subject. The book consists of three parts: Instinctive Sensing, Communication and Environments, including new experiments with in vitro biological neurons for the control of mobile robots, instinctive sound recognition, texture vision, visual abstraction, genre in cultures, human interaction with virtual world, intuitive interfaces, exploitive interaction, and agents for smart environments.