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Titlebook: Gesture Recognition; Principles, Techniqu Amit Konar,Sriparna Saha Book 2018 Springer International Publishing AG 2018 Body Language Studie

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發(fā)表于 2025-3-21 18:18:48 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Gesture Recognition
副標題Principles, Techniqu
編輯Amit Konar,Sriparna Saha
視頻videohttp://file.papertrans.cn/386/385190/385190.mp4
概述Highlights the latest research in gesture recognition.Presents principles, techniques and applications.Written by respected experts in the field.Includes supplementary material:
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Gesture Recognition; Principles, Techniqu Amit Konar,Sriparna Saha Book 2018 Springer International Publishing AG 2018 Body Language Studie
描述.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..
出版日期Book 2018
關鍵詞Body Language Studies; Communication Body Movement; Computational Intelligence; Control Through Facial
版次1
doihttps://doi.org/10.1007/978-3-319-62212-5
isbn_softcover978-3-319-87259-9
isbn_ebook978-3-319-62212-5Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer International Publishing AG 2018
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沙發(fā)
發(fā)表于 2025-3-21 21:57:54 | 只看該作者
板凳
發(fā)表于 2025-3-22 02:51:47 | 只看該作者
Introduction,stures. Various tools and techniques relevant to image processing, pattern recognition and computational intelligence, which have necessary applications in gesture recognition, are also briefly explained here. The chapter outlines possible applications of gesture recognition. The scope of the book is also appended at the end of the chapter.
地板
發(fā)表于 2025-3-22 05:09:01 | 只看該作者
5#
發(fā)表于 2025-3-22 11:46:03 | 只看該作者
https://doi.org/10.1007/978-3-319-43319-6simple and novel six stage algorithm achieves the desired objective. Skin color segmentation is performed on the dance postures, the outputs of which are dilated and processed to generate skeletons of the original postures.
6#
發(fā)表于 2025-3-22 12:56:22 | 只看該作者
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發(fā)表于 2025-3-22 21:01:33 | 只看該作者
Introduction,he existing works. The chapter then elaborately introduces the Kinect sensor, which has recently emerged as an important machinery to capture human-gestures. Various tools and techniques relevant to image processing, pattern recognition and computational intelligence, which have necessary applicatio
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發(fā)表于 2025-3-23 00:56:53 | 只看該作者
Radon Transform Based Automatic Posture Recognition in Ballet Dance,measuring the proximity of an unknown dance posture to a known primitive. The proposed system aims at automatic identification of an unknown dance posture referring to the twenty primitive postures of ballet, simultaneously measuring the proximity of an unknown dance posture to a known primitive. A
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發(fā)表于 2025-3-23 04:45:51 | 只看該作者
Fuzzy Image Matching Based Posture Recognition in Ballet Dance,duction to fuzzy sets and its characteristics, while the later part of the chapter is entirely devoted to the discussion of the technique. The techniques of chain code generation, straight line approximation and matching using a fuzzy T-norm operator populate the contents of the chapter thereby illu
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發(fā)表于 2025-3-23 06:38:58 | 只看該作者
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