A robust cursor activity control with Iris gesture and blink detection technique
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.
Main Authors: | Islam, Md. Rayhan Al, Rahman, Maliha, Rezyuan, Md. |
---|---|
Other Authors: | Uddin, Jia |
Format: | Thesis |
Language: | English |
Published: |
Brac University
2019
|
Subjects: | |
Online Access: | http://hdl.handle.net/10361/12351 |
Similar Items
-
Home automation with eye-blink for paralyzed patients
by: Bose, Deep, et al.
Published: (2018) -
Night mode prohibitory traffic signs detection
by: Biswas, Rubel, et al.
Published: (2017) -
LVQ and HOG based speed limit traffic signs detection and categorization
by: Biswas, Rubel, et al.
Published: (2017) -
Detection and classification of speed limit traffic signs
by: Biswas, Rubel, et al.
Published: (2017) -
Embedded real time blink detection system with heart rate sensing for driver fatigue monitoring
by: Habiba, Umme Saira, et al.
Published: (2018)