English
Español
Log In
Email address
Password
Log in
Have you forgotten your password?
Communities & Collections
Research Outputs
Projects
Researchers
Statistics
Investigación Indoamérica
English
Español
Log In
Email address
Password
Log in
Have you forgotten your password?
Home
CRIS
Publications
Low-Cost Human–Machine Interface for Computer Control with Facial Landmark Detection and Voice Commands
Export
Statistics
Options
Low-Cost Human–Machine Interface for Computer Control with Facial Landmark Detection and Voice Commands
Journal
Sensors
Date Issued
2022
Author(s)
Ramos, P.
Zapata, Mireya
Centro de investigación en Mecatrónica y Sistemas Interactivos
Valencia, K.
Centro de investigación en Mecatrónica y Sistemas Interactivos
Vargas, V.
Ramos Galarza, Carlos
Centro de investigación en Mecatrónica y Sistemas Interactivos
Type
Article
DOI
10.3390/s22239279
URL
https://cris.indoamerica.edu.ec/handle/123456789/8455
Abstract
Nowadays, daily life involves the extensive use of computers, since human beings are immersed in a technological society. Therefore, it is mandatory to interact with computers, which represents a true disadvantage for people with upper limb disabilities. In this context, this work aims to develop an interface for emulating mouse and keyboard functions (EMKEY) by applying concepts of artificial vision and voice recognition to replace the use of hands. Pointer control is achieved by head movement, whereas voice recognition is used to perform interface functionalities, including speech-to-text transcription. To evaluate the interface’s usability and usefulness, two studies were carried out. The first study was performed with 30 participants without physical disabilities. Throughout this study, there were significant correlations found between the emulator’s usability and aspects such as adaptability, execution time, and the participant’s age. In the second study, the use of the emulator was analyzed by four participants with motor disabilities. It was found that the interface was best used by the participant with cerebral palsy, followed by the participants with upper limb paralysis, spina bifida, and muscular dystrophy. In general, the results show that the proposed interface is easy to use, practical, fairly accurate, and works on a wide range of computers. © 2022 by the authors.
Views
3
Acquisition Date
Dec 2, 2024
View Details
google-scholar
View Details
Downloads
View Details