Machine Perception: Fundamentals and Applications
เกี่ยวกับ eBook เล่มนี้
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.
