An Optimised Eye Blink Detection Mechanism for Disabled Persons
| Main Authors: | Kanakambika, Preethi N L, Priyanka, Shraddha S Varekar, Anil B C |
|---|---|
| Format: | Article |
| Bahasa: | eng |
| Terbitan: |
, 2019
|
| Subjects: | |
| Online Access: |
https://zenodo.org/record/3540429 |
Daftar Isi:
- By this project, we explain an actual technique using some image and video meting out algorithms for eye blink detection. The object of this technique is that help to disabled those who cannot communicate with humans. In this we use the Haar cascade algorithm to detect the angle of eye and face for the information on the eyes and the facemask axis. To include with this, the similar classifier created on Haar's characteristics is used to discover the interaction between the eyes and the facial axis to position them. To detect the position of the observed face the effective ocular tracking technique is used. Lastly, to check mobile phones with Android, a closed eye detection is used based on the condition of the eyelids (closed or open). This technique is used with and without a level filter to show the development of finding precision. This request is used in day to day life to study the result of light and the distance among the eyes and the mobile to evaluate the detection accuracy and overall accuracy of the proposed system. This test results show that our proposed technique gives an all-out precision of 98% and a 100% location exactness over a separation of 35 cm and a counterfeit light.