Design of a robust wearable sensor system for on-field data acquisition of hand gestures
- Islamabad (unpublished) 2022
- xii, 45 p. : ill. ; 30 cm. +CD
Submitted in the fulfillment of the requirement for the degree of Master of science in Biomedical Engineering to the Faculty of Engineering and Applied Sciences. Includes bibliographical references. Thesis Supervisor: Dr. Faraz Akram
Thesis (M.S)--Riphah International University, 2022
English
Biomedical engineering Sensor technology--Software development and interface--Gesture classification--Wireless communication--BME--FEAS