Development of features and machine learning algorithms for the detection of hand gestures to convert Pakistan sign language into speech (Record no. 50019)

MARC details
000 -LEADER
fixed length control field 00954nam a22001937a 4500
040 ## - CATALOGING SOURCE
Transcribing agency Riphah International University
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.3
Author Mark RID
100 ## - MAIN ENTRY--PERSONAL NAME
Authorship Rida Nisar (18170)
245 ## - TITLE STATEMENT
Title Development of features and machine learning algorithms for the detection of hand gestures to convert Pakistan sign language into speech
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Islamabad
Name of publisher (Unpublished)
Date of publication 2022
300 ## - PHYSICAL DESCRIPTION
Extent xiv. 50 p.
Illustrations : ill.
Dimensions ; 30 cm.
Accompanying material +CD
500 ## - GENERAL NOTE
General note Submitted in partial fulfillment of the requirements for the degree of Master of Science in Biomedical Engineering to the Faculty of Engineering and Basic sciences
502 ## - DISSERTATION NOTE
Dissertation note Includes bibliographical references.
502 ## - DISSERTATION NOTE
Dissertation note Thesis supervisor: Dr. Faraz Akram
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.S.)--Riphah International University, 2022
546 ## - LANGUAGE NOTE
Language note English
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Subject Biomedical Engineering
Keywords Explicit User Technology
-- Sensor's technology
-- Data acquisitions
-- Gestures Recognition
-- BME
-- FEAS
942 ## - ADDED ENTRY ELEMENTS (KOHA)
item type Thesis
Holdings
Not for loan Home library Current library Full call number Barcode Koha item type
  Main Campus Main Campus 621.3 RID 69732 Thesis
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