TheBookSearch (aka DieBuchSuche) - the search engine for all books.
We are looking in more than 100 shops for your best offer - please wait…
- Shipping costs to Singapore (modify to GBR, USA, AUS, NZL, CHN, PHL, TWN, IDN, MYS, THA, VNM, HKG, HKG, DEU)
Create preset

All books for 9789811047985 - compare every offer

Archive entry:
9789811047985 - Ankit Chaudhary: Robust Hand Gesture Recognition for Robotic Hand Control - Book

Ankit Chaudhary (?):

Robust Hand Gesture Recognition for Robotic Hand Control (2017) (?)

Delivery from: BrazilBook is in english languageNew bookeBook, e-Book, digital bookproduct for digital download

9789811047985 (?) or 9811047987

, in english, Springer, Springer, Springer, New, ebook, digital download
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 of the 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
Category: Technology
Keywords: Robust Hand Gesture Recognition for Robotic Hand Control Ankit Chaudhary Robotics Technology 9789811047985
Data from 07/02/2017 19:27h
ISBN (alternative notations): 981-10-4798-7, 978-981-10-4798-5


Find all available books for your ISBN number 9789811047985 compare prices fast and easily and order immediatly.

Available rare books, used books and second hand books of the title "Robust Hand Gesture Recognition for Robotic Hand Control" from Ankit Chaudhary are completely listed.

bayerisches kochbuch rezepte 3896430602