Gesture Recognition Gesture Recognition

Gesture Recognition

Principles, Techniques and Applications

    • 94,99 €
    • 94,99 €

Descrizione dell’editore

This book presents a thorough analysis of gestural data extracted from raw images and/or range data with an aim to recognize the gestures conveyed by the data. It covers image morphological analysis, type-2 fuzzy logic, neural networks and evolutionary computation for classification of gestural data. The application areas include the recognition of primitive postures in ballet/classical Indian dances, detection of pathological disorders from gestural data of elderly people, controlling motion of cars in gesture-driven gaming and gesture-commanded robot control for people with neuro-motor disability.

The book is unique in terms of its content, originality and
lucid writing style. Primarily intended for graduate students and researchers in the field of electrical/computer engineering, the book will prove equally useful to computer hobbyists and professionals engaged in building firmware for human-computer interfaces. A prerequisite of high school level mathematics is sufficient to understand most of the chapters in the book. A basic background in image processing, although not mandatory, would be an added advantage for certain sections.

GENERE
Computer e internet
PUBBLICATO
2017
4 luglio
LINGUA
EN
Inglese
PAGINE
294
EDITORE
Springer International Publishing
DIMENSIONE
9,3
MB

Altri libri di Amit Konar & Sriparna Saha

Artificial Intelligence and Soft Computing Artificial Intelligence and Soft Computing
2018
Multi-Agent Coordination Multi-Agent Coordination
2020
Cognitive Modeling of Human Memory and Learning Cognitive Modeling of Human Memory and Learning
2020
Principles in Noisy Optimization Principles in Noisy Optimization
2018
Time-Series Prediction and Applications Time-Series Prediction and Applications
2017
Emotion Recognition Emotion Recognition
2014