Yüklüyor…

Gesture Recognition Principles, Techniques and Applications /

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...

Ful tanımlama

Detaylı Bibliyografya
Asıl Yazarlar: Konar, Amit (Yazar), Saha, Sriparna (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edisyon:1st ed. 2018.
Seri Bilgileri:Studies in Computational Intelligence, 724
Konular:
Online Erişim:Full-text access
OPAC'ta görüntüle
Diğer Bilgiler
Özet: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.
Fiziksel Özellikler:XVIII, 276 p. 99 illus., 73 illus. in color. online resource.
ISBN:9783319622125
ISSN:1860-9503 ;
DOI:10.1007/978-3-319-62212-5