| Autor: |
Rani R, Usha, B, Vaishali, A S, Vandana, Yousuf, Wamiq, K, Jayalakshmi |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Perspectives in Communication, Embedded-systems and Signal-processing-PiCES; 2022: PiCES-Special Issue; 52-54 |
| ISSN: |
2566-932X |
| Popis: |
We describe a real-time technique for eye blink recognition that is based on various video and image processing algorithms. The necessity to disable those who are unable to communicate with humans is the driving force behind this research. The position of the identified face is used to propose an effective eye tracking technique. For managing Android mobile phones, an eye blinking detection based on eyelid status (closed or open) is used. The procedure is applied both with and without a smoothing filter to demonstrate how the accuracy of detection has improved. This project's primary goal is to create a real-time interactive system that can help the paralysed operate household items like lights and fans or play pre-recorded audio messages with a certain amount of eye blinks. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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