Development of features and machine learning algorithms for the detection of hand gestures to convert Pakistan sign language into speech - Rida Nisar (18170) (Islamabad (Unpublished), 2022)
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
Keywords: Biomedical Engineering -- Explicit User Technology -- Sensor's technology -- Data acquisitions -- Gestures Recognition -- BME -- FEAS