Combined Hand Face Blob Gesture Recognition Using ANN (MS Thesis) (Record no. 64607)

MARC details
000 -LEADER
fixed length control field 01500nam a22001337a 4500
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Ghulam Hussain
-- 14MSIT07
-- Supervisor - Dr. Mukhtiar Ahmed Memon
245 ## - TITLE STATEMENT
Title Combined Hand Face Blob Gesture Recognition Using ANN (MS Thesis)
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Nawabshah
Name of publisher QUEST
Year of publication 2018
300 ## - PHYSICAL DESCRIPTION
Number of Pages 45
500 ## - GENERAL NOTE
General note ABSTRACT<br/><br/>Gesture recognition is very much important for many applications of vision based systems but it is very difficult to recognize due to variations of human body movements and skin color when more than two blobs combined together. In this research therefore we use LBP to extract the hand(s) from face region of the image. Image is divided into nine regions to find the positions of the hand in the form of bit patterns of O's and l ' where occurrence of the hand at face region assigned otherwise 0. In this connection four common gestures are recognized such as Hands on Cheek Gesture, a lute Gesture, Face Palm Gesture and Covered Face Gesture using Artificial Neural Network. Every gesture contains nine bit patterns and feed these bits to A for recognizing particular gesture. The proposed neural network model when evaluated on our data set and found promising results with an overall accuracy of about 89.33%. Results of this research study can be very useful for many applications especially for educational institutions.<br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/>
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Department of Information Technology
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://tinyurl.com/2p9w9ba5
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Thesis and Dissertation
Holdings
Withdrawn status Lost status Home library Current library Date acquired Accession Number Koha item type
    Research Section Research Section 27/02/2019 MP/36-391 Thesis and Dissertation