Machine Perception: Fundamentals and Applications

· Artificial Intelligence 230권 · One Billion Knowledgeable
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What Is Machine Perception

The ability of a computer system to interpret data in a manner that is analogous to the way in which people make sense of the world around them via the use of their senses is what we mean when we talk about machine perception. Attached hardware is the primary channel via which personal computers take in information about their surroundings and respond to that data. Input was previously restricted to a keyboard or a mouse; however, recent developments in technology, both in hardware and software, have made it possible for computers to take in sensory data in a manner that is analogous to how people do it.


How You Will Benefit


(I) Insights, and validations about the following topics:


Chapter 1: Machine perception


Chapter 2: Audio signal processing


Chapter 3: Perception


Chapter 4: Bio-inspired computing


Chapter 5: Sensory nervous system


Chapter 6: Stimulus modality


Chapter 7: Sensory substitution


Chapter 8: Computer audition


Chapter 9: Haptic perception


Chapter 10: Robotic sensing


(II) Answering the public top questions about machine perception.


(III) Real world examples for the usage of machine perception in many fields.


(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of machine perception' technologies.


Who This Book Is For


Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of machine perception.

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