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Development of features and machine learning algorithms for the detection of hand gestures to convert Pakistan sign language into speech

By:

Rida Nisar (18170)

Material type: Text

TextPublication details: Islamabad (Unpublished) 2022Description: xiv. 50 p. : ill. ; 30 cm. +CDSubject(s):

Biomedical Engineering -- Explicit User Technology -- Sensor's technology -- Data acquisitions -- Gestures Recognition -- BME -- FEAS

DDC classification:

621.3 RID

Dissertation note: Includes bibliographical references.Thesis supervisor: Dr. Faraz Akram Thesis (M.S.)--Riphah International University, 2022

List(s) this item appears in: FEAS & DBS Thesis I-14 Campus

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Thesis	Main Campus	621.3 RID (Browse shelf(Opens below))	Not for loan		69732

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

Includes bibliographical references.

Thesis supervisor: Dr. Faraz Akram

Thesis (M.S.)--Riphah International University, 2022

English

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