2249:-
Uppskattad leveranstid 10-16 arbetsdagar
Fri frakt för medlemmar vid köp för minst 249:-
Andra format:
- Pocket/Paperback 1669:-
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 issufficient 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.
- Illustratör: Bibliographie
- Format: Inbunden
- ISBN: 9783319622101
- Språk: Engelska
- Antal sidor: 276
- Utgivningsdatum: 2017-07-14
- Förlag: Springer International Publishing AG