About the Book
Gesture recognition is a topic in computer science and language technology with the goal of interpreting human gestures via mathematical algorithms. Gestures can originate from any bodily motion or state but commonly originate from the face or hand. Current focuses in the field include emotion recognition from the face and hand gesture recognition. Many approaches have been made using cameras and computer vision algorithms to interpret sign language. However, the identification and recognition of posture, gait, proxemics, and human behaviors is also the subject of gesture recognition techniques. Gesture recognition can be seen as a way for computers to begin to understand human body language, thus building a richer bridge between machines and humans than primitive text user interfaces or even GUIs (graphical user interfaces), which still limit the majority of input to keyboard and mouse.
This book is your ultimate resource for Gesture Recognition. Here you will find the most up-to-date information, analysis, background and everything you need to know.
In easy to read chapters, with extensive references and links to get you to know all there is to know about Gesture Recognition right away, covering: Gesture recognition, 3D computer vision, Agent Vi (Agent Video Intelligence), Augmented reality, Automated optical inspection, Automatic image annotation, Automatic number plate recognition, Automatic target recognition, Check weigher, Closed-circuit television, Computer stereo vision, Content-based image retrieval, Digital video fingerprinting, GazoPa, Google Goggles, Image retrieval, Image-based modeling and rendering, Intelligent character recognition, Iris recognition, Machine vision, Object detection, Optical character recognition, Pedestrian detection, People counter, Physical computing, Red light camera, Remote sensing, Smart camera, Traffic enforcement camera, Traffic sign recognition, Vehicle infrastructure integration, Video Content Analysis, View synthesis, Visual sensor network, 3D single object recognition, Bag of words model in computer vision, Boosting methods for object categorization, Face detection, Histogram of oriented gradients, LabelMe, Microsoft Surface, Object categorization from image search, Object recognition (computer vision), Part-based models, Scale-invariant feature transform, Segmentation-based object categorization, Viola-Jones object detection framework, Apple Mouse, Augmentation Research Center, Brain implant, CICS, Command-line interface, Comparison of consumer brain-computer interfaces, Docuverse, Dynabook, Electronic Document System, Emotiv Systems, Eye tracking, History of automated adaptive instruction in computer applications, History of Inform releases, History of the graphical user interface, History of virtual learning environments, History of virtual learning environments in the 1990s, Hypertext Editing System, IBM 2260, IBM 2741, IBM 3270, In the Beginning... Was the Command Line, Intelligence amplification, Kinect, Memex, The Mother of All Demos, Mouse (computing), Mouse button, Mousepad, Mundaneum, Natural user interface, Neural Impulse Actuator, NeuroSky, NLS (computer system), Office of the future, Optical mouse, Paperless office, Paperless society, PARC (company), Pilot (operating system), Sketch recognition, Sketchpad, SpaceOrb 360, Speech recognition, Speech synthesis, Touchpad, Trackball, Voice command device, Voice Navigator, Neil Weste, Wired glove, Xerox Star, 3D Interaction, Accelerator (Internet Explorer), Accelerator table, Adjustment handles, Alt-Tab, Attentive user interface, Balloon help, Bounce keys, Brace matching, Brain-computer interface...and much more
This book explains in-depth the real drivers and workings of Gesture Recognition. It reduces the risk of your technology, time and resources investment decisions by enabling you to compare your understanding of Gesture Recognition with the objectivity of experienced professionals.
