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Eye Blink to Voice and Home Automation: Assisting System for Paralysed

Author(s):

Apeksha B , Dr.Ambedkar Institute of Technology; Vidyarani H J, Dr.Ambedkar Institute of Technology; Sahana Sagar H S, Dr.Ambedkar Institute of Technology; Kavya V, Dr.Ambedkar Institute of Technology; Sowmya Shree S, Dr.Ambedkar Institute of Technology

Keywords:

Eye Blink Detection, Face Detection, Eye Tracking, Conversion of Blink to Voice, Blink to Home Automation, Raspberry Pi

Abstract

This project is a smart which is specially designed for MND patients. The concept of this system is to apply eye movement to communicate with the caretaker and to control the appliances. This system comprises of methods like face detection, eye detection, eye tracking, conversion of blink to voice and blink to home automation. The image processing module consist of webcam and the eye movement image is captured and transmitted to Raspberry Pi microcontroller for processing with OpenCV to derive the coordinate of eye ball. The system enables the patients to communicate with caretaker using blink patterns-sequences of long and short blinks which are interpreted as semiotic voice messages. The system proposed comprises of methods like face detection, eye detection, eye tracking, conversion of blink to voice and blink to home automation. The image processing module consist of webcam and the eye movement image is captured and transmitted to Raspberry Pi microcontroller for processing with OpenCV to derive the coordinate of eye ball. The system enables communication using blink patterns-sequences of long and short blinks which are interpreted as semiotic voice messages.

Other Details

Paper ID: IJSRDV7I31231
Published in: Volume : 7, Issue : 3
Publication Date: 01/06/2019
Page(s): 1646-1651

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