William Hutamaputra, Fitri Utaminingrum, Agung Setia Budi
Everyone wants to have high mobility in their own life. For patients with disabilities who especially experience paralysis on their hands, they will experience less mobility in daily activities. This causes the patients the need for nurses for their treatment. However, nurses cannot keep them monitored for 24 hours continuously. They need more attention in the treatment period. In this research, the authors developed a system to help patients with disabilities on their hands in their daily activities. The author proposes menu selection using the face on smart wheelchair to provide an alternative in menu selection by utilizing the eye gaze. The right eye position is used to select menus, while the blinking of the left eye is used for menu execution. The menus will be used to execute the features of the smart wheel cursor on the device. There are four optional menus in this research. Eye detection use facial landmark methods and classification use k-nearest neighbors. Disabilities, especially those experiencing paralysis on the hands, can be helped in their daily lives by implementing the system. The higher accuracy result of the method is 90,42% with k=9, with 0,441 seconds of computation time with k=9. © 2023 Author(s).
Computer Vision Research Groups, Faculty of Computer Science, Brawijaya University, Malang, 65145, Indonesia; Faculty of Computer Science, Brawijaya University, Malang, 65145, Indonesia
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