Controlling External Devices by Using Speech and Simple Eye Movements

Autor: Duy Long Dao, Anh Tai Tran, Thanh An Le, Minh Huong Nguyen Thi
Rok vydání: 2020
Předmět:
Zdroj: Kalpa Publications in Engineering.
ISSN: 2515-1770
Popis: In Vietnam, the number of people with limb defects or diseases that affect the ability of limbs is increasing [1]. They were reduced or incapable of living, unable to walk, to run, and utilities around them became useless. Therefore, it is imperative to build a patient support system in controlling external devices. Recognizing the problem, the author has studied, researched, and built a wheelchair control system based on speech recognition and eye movement. In this study, the eye movement system is at the simple level: glance left and right. The system uses an image processing method to locate the pupil. The external device for testing is a car model that control by Arduino connected via Bluetooth. Experimental evaluation results show that the eye movement system achieves high accuracy of over 70%. However, the eye movement system by image processing takes a lot of time to process for a command. All of the above shows the feasibility of developing an external control device for people with disabilities.
Databáze: OpenAIRE