| Autor: |
Gaddam, Swetha, peddineni, Dineesha, Dornala, Shriya, Kumari, K. H. Vijaya |
| Předmět: |
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| Zdroj: |
Grenze International Journal of Engineering & Technology (GIJET); 2023, Vol. 9 Issue 2, p797-803, 7p |
| Abstrakt: |
Among all the physical ailments that lead to Motor Neuron Disease (MND) Paralysis is treated as most hazardous. For patients with paralysis, the only way to communicate is through blinks or moving the eye muscles since their ability to control muscle movement is limited. Therefore, a Human Computer Interface system based on eye movement has been an anticipated innovation--the objective of this paper is to discuss various Eye movement communication techniques for a wholly paralyzed patient. The applications allow users to communicate using the onscreen keyboard. An eye gaze detection technique allows people with disabilities to express their needs to their caretakers when they cannot move their muscles voluntarily. A patient's eye movements and blinks can be analyzed using Dlib and OpenCV to select the desired key. The patient's Eye Gaze state selects the keyboard keys. In addition, hot phrases(images) are available to request services like food, water, natural phone calls, phone calls, ask for assistance, raise the alarm in case of an emergency, and turn on or off lights, fans, and other appliances in their homes. Our proposed Human Communication Interface (HCI) system provides automated communication for specially challenged people to increase their quality of life. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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