Efficient Eye Blink Detection Method for disabled-helping domain
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2014, Vol 5, Issue 5
Abstract
In this paper, we present a real time method based on some video and image processing algorithms for eye blink detection. The motivation of this research is the need of disabling who cannot control the calls with human mobile interaction directly without the need of hands. A Haar Cascade Classifier is applied for face and eye detection for getting eye and facial axis information. In addition, the same classifier is used based on Haar- like features to find out the relationship between the eyes and the facial axis for positioning the eyes. An efficient eye tracking method is proposed which uses the position of detected face. Finally, an eye blinking detection based on eyelids state (close or open) is used for controlling android mobile phones. The method is used with and without smoothing filter to show the improvement of detection accuracy. The application is used in real time for studying the effect of light and distance between the eyes and the mobile device in order to evaluate the accuracy detection and overall accuracy of the system. Test results show that our proposed method provides a 98% overall accuracy and 100% detection accuracy for a distance of 35 cm and an artificial light.
Authors and Affiliations
Assit. A. Mohammed, MSc. Anwer
Keywords
Related Articles
- EP ID EP105031
- DOI 10.14569/IJACSA.2014.050530
- Views 89
- Downloads 0
Performance Impact of Relay Selection in WiMAX IEEE 802.16j Multi-hop Relay Networks
Worldwide Interoperability for Microwave Access network accepts the challenge of last mile wireless access for internet. IEEE 802.16 standard, commercially known as WiMAX provide wireless broadband experience to the end...
Detection of Edges Using Two-Way Nested Design
This paper implements a novel approach of identifying edges in images using a two-way nested design. The test comprises of two steps. First step is based on an F-test. The sums of square (SS) of various effects are used...
Non-linear Dimensionality Reduction-based Intrusion Detection using Deep Autoencoder
The intrusion detection has become core part of any network of computers due to increasing amount of digital content available. In parallel, the data breaches and malware attacks have also grown in large numbers which ma...
Multi Factor Authentication for Student and Staff Access Control
This paper proposes a model to improve security, by controlling who accesses the University of Zambia Campus, Student Hostels and Offices. The proposed model combines Barcode, RFID, and Biometrics Technology to automatic...
A Qualitative Analysis to Evaluate Key Characteristics of Web Mining based e-Commerce Applications
E-Commerce applications are playing vital role by providing competitive advantage over business peers. It is important to get interesting patterns from e-commerce transactions to analyze customer experience, customer lik...