REAL-TIME EYE BLINK DETECTION BASED ON PYTHON

2021 ◽  
Author(s):  
P. Ran ◽  
H. Wang
Keyword(s):  
Real Time ◽  
Eye Blink ◽  
Blink Detection

scholarly journals Efficient machine learning approach for volunteer eye-blink detection in real-time using webcam

2021 ◽  
pp. 116073
Author(s):  
Paulo Augusto de Lima Medeiros ◽  
Gabriel Vinícius Souza da Silva ◽  
Felipe Ricardo dos Santos Fernandes ◽  
Ignacio Sánchez-Gendriz ◽  
Hertz Wilton Castro Lins ◽  
...  
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
Learning Approach ◽  
Eye Blink ◽  
Machine Learning Approach ◽  
Blink Detection ◽  
Efficient Machine

scholarly journals AUTOMATIC EYE TEMPLATE GENERATION AND TRACKING

2014 ◽  
pp. 226-230
Author(s):  
RICHA MEHTA ◽  
MANISH SHRIVASTAVA
Keyword(s):  
Eye Tracking ◽  
Real Time ◽  
Facial Feature ◽  
Detection Algorithm ◽  
Eye Blink ◽  
Eye Blinks ◽  
The Road ◽  
Blink Detection ◽  
Two Phases ◽  
Real World Problems

Eye blinking is a physiological necessity for humans. This method automatically locates the user’s eye by detecting eye blinks. A system is the improvement of driver carefulness and accident reduction. The driver’s face is tracked while he is driving and he is warned if there seems to be an alerting fact that can result in an accident such as sleepy eyes, or looking out of the road. Furthermore, with a facial feature tracker, it becomes possible to play a synthesized avatar so that it imitates the expressions of the performer. For a user who is incapable of using her hands, a facial expression controller may be a solution to send limited commands to a computer. Eye blinking is one of the prominent areas to solve many real world problems. The process of blink detection consists of two phases. These are eye tracking followed by detection of blink. The work that has been carried out for eye tracking only is not suitable for eye blink detection. Therefore some approaches had been proposed for eye tracking along with eyes blink detection. In this thesis, real time implementation is done to count number of eye blinks in an image sequence. At last after analyzing all these approaches some of the parameters we obtained on which better performance of eye blink detection algorithm depend. This project focuses on automatic eye blink detection in real time. The aim of this thesis is to count the number of eye blinks in a video. This project will be performed on a video database of the facial expressions.

Cost Effective Real-time System for cognitive computing using Personalized Eye Blink Detection from Camera

2021 ◽  
Author(s):  
Rahul Dasharath Gavas ◽  
Somnath Karmakar ◽  
Debatri Chatterjee ◽  
Ramesh Kumar Ramakrishnan ◽  
Arpan Pal
Keyword(s):  
Real Time ◽  
Cost Effective ◽  
Cognitive Computing ◽  
Time System ◽  
Real Time System ◽  
Eye Blink ◽  
Blink Detection

scholarly journals Real-Time Eye Gaze Point and Eye Blink Detection Using Eye-Sensing HMD

2001 ◽  
Vol 37 (8) ◽  
pp. 687-696 ◽  
Author(s):  
Takahisa OZAWA ◽  
Yusuke AOTAKE ◽  
Hiroshi SHIMODA ◽  
Shogo FUKUSHIMA ◽  
Hidekazu YOSHIKAWA
Keyword(s):  
Real Time ◽  
Eye Gaze ◽  
Eye Blink ◽  
Blink Detection

Real-time eye blink detection with GPU-based SIFT tracking

2007 ◽  
Author(s):  
Marc Lalonde ◽  
David Byrns ◽  
Langis Gagnon ◽  
Normand Teasdale ◽  
Denis Laurendeau
Keyword(s):  
Real Time ◽  
Eye Blink ◽  
Blink Detection

scholarly journals Adaptive Real Time Eye-Blink Detection System

2014 ◽  
Vol 99 (5) ◽  
pp. 29-36 ◽  
Author(s):  
Mai K.Galab ◽  
H. M. Abdalkader ◽  
Hala H. Zayed
Keyword(s):  
Real Time ◽  
Detection System ◽  
Eye Blink ◽  
Blink Detection

Design and Implementation of Artificial Human Hand Model Based on Eye Blink Detection

2020 ◽  
Author(s):  
K Prasanthi Jasmine ◽  
SK Mahaboob Subhani ◽  
V Ajith ◽  
CH Rakesh Kumar
Keyword(s):  
Human Hand ◽  
Eye Blink ◽  
Design And Implementation ◽  
Model Based ◽  
Hand Model ◽  
Blink Detection ◽  
Human Hand Model

scholarly journals Mask-Type Sensor for Pulse Wave and Respiration Measurements and Eye Blink Detection

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4895
Author(s):  
Thanh-Vinh Nguyen ◽  
Masaaki Ichiki
Keyword(s):  
Pulse Wave ◽  
Pressure Change ◽  
Frequency Component ◽  
High Frequency Component ◽  
Sensing Element ◽  
Eye Blink ◽  
Mask Type ◽  
Blink Detection ◽  
The Subject ◽  
Air Bag

This paper reports on a mask-type sensor for simultaneous pulse wave and respiration measurements and eye blink detection that uses only one sensing element. In the proposed sensor, a flexible air bag-shaped chamber whose inner pressure change can be measured by a microelectromechanical system-based piezoresistive cantilever was used as the sensing element. The air bag-shaped chamber is fabricated by wrapping a sponge pad with plastic film and polyimide tape. The polyimide tape has a hole to which the substrate with the piezoresistive cantilever adheres. By attaching the sensor device to a mask where it contacts the nose of the subject, the sensor can detect the pulses and eye blinks of the subject by detecting the vibration and displacement of the nose skin caused by these physiological parameters. Moreover, the respiration of the subject causes pressure changes in the space between the mask and the face of the subject as well as slight vibrations of the mask. Therefore, information about the respiration of the subject can be extracted from the sensor signal using either the low-frequency component (<1 Hz) or the high-frequency component (>100 Hz). This paper describes the sensor fabrication and provides demonstrations of the pulse wave and respiration measurements as well as eye blink detection using the fabricated sensor.

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