Robust Hand Gesture Recognition for Robotic Hand Control

Idioma: inglés

Editorial: Springer, Springer Jan 2019, 2019

9811352348 / 9789811352348

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Descripción del artículo del vendedor

This item is printed on demand - Print on Demand Titel. Neuware -This book focuses on light invariant bare hand gesture recognition while there is no restriction on the types of gestures. Observations and results have confirmed that this research work can be used to remotely control a robotic hand using hand gestures. The system developed here is also able to recognize hand gestures in different lighting conditions. The pre-processing is performed by developing an image-cropping algorithm that ensures only the area of interest is included in the segmented image. The segmented image is compared with a predefined gesture set which must be installed in the recognition system. These images are stored and feature vectors are extracted from them. These feature vectors are subsequently presented using an orientation histogram, which provides a view of the edges in the form of frequency. Thereby, if the same gesture is shown twice in different lighting intensities, both repetitions will map to the same gesture in the stored data. The mapping ofthe segmented image's orientation histogram is firstly done using the Euclidian distance method. Secondly, the supervised neural network is trained for the same, producing better recognition results.An approach to controlling electro-mechanical robotic hands using dynamic hand gestures is also presented using a robot simulator. Such robotic hands have applications in commercial, military or emergency operations where human life cannot be risked. For such applications, an artificial robotic hand is required to perform real-time operations. This robotic hand should be able to move its fingers in the same manner as a human hand. For this purpose, hand geometry parameters are obtained using a webcam and also using KINECT. The parameter detection is direction invariant in both methods. Once the hand parameters are obtained, the fingers' angle information is obtained by performing a geometrical analysis. An artificial neural network is also implemented to calculate the angles. These two methods can be used with only one hand, either right or left. A separate method that is applicable to both hands simultaneously is also developed and fingers angles are calculated. The contents of this book will be useful for researchers and professional engineers working on robotic arm/hand systems.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 120 pp. Englisch.…

N° de ref. del artículo 9789811352348

Título
Robust Hand Gesture Recognition for Robotic Hand Control
Autor
Ankit Chaudhary
Editorial
Springer, Springer Jan 2019
Año de publicación
2019
Estado
Neu
Encuadernación
Taschenbuch
Idioma
inglés
ISBN 10
9811352348
ISBN 13
9789811352348
Peso del artículo
221 gramos
Dimensiones
235x155x7 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Alemania

Vendedor de 5 estrellas

Vendedor de AbeBooks desde 23 de enero de 2017

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