Design and development of an ai based device for the detection of hand gesture to convert sign language into speech
- Islamabad (unpublished) 2023
- 55 p. : ill. ; 30 cm. +CD
Submitted in the partial fulfillment of the requirements for the degree of Master of Sciences in Biomedical Engineering to the Faculty of Engineering and Applied Sciences. Includes bibliographical references. Thesis supervisor: Dr. Faraz Akram
Thesis (MS)--Riphah International University, 2023
English
Biomedical engineering--Communication signers non signers--Feature extraction --Algorithms--Gesture --BME--FEAS