Rida Nisar (18170) <br/><br/>
Development of features and machine learning algorithms for the detection of hand gestures to convert Pakistan sign language into speech  

 - Islamabad  (Unpublished)  2022 
 - xiv. 50 p.  : ill.  ; 30 cm.  +CD 
<br/><br/> 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 
<br/><br/>Includes bibliographical references. Thesis supervisor: Dr. Faraz Akram  Thesis (M.S.)--Riphah International University, 2022 
<br/><br/><br/>English 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Biomedical Engineering--Explicit User Technology --Sensor's technology --Data acquisitions --Gestures Recognition--BME--FEAS
<br/><br/><label>Dewey Class. No.: </label>621.3  / RID