Title :
Multifunctional user interface implementation details and evaluation
Author :
Julius Gelšvartas;Rimvydas Simutis;Rytis Maskeliūnas
Author_Institution :
Automation Department, Kaunas University of Technology, Kaunas, Lithuania
Abstract :
This paper describes in detail the implementation of the multimodal user interface for people with disabilities. The user interface can be used with multiple sensors such as eye tracker, brain wave scanner, speech recognizer and sip/puff device. The system makes it possible to use multiple sensors simultaneously or disable some sensors. New sensors can be integrated without changing other components of the system. We evaluated the performance of the system in the text input task. The results showed increased performance when using multiple sensors simultaneously.
Keywords :
"Speech recognition","Graphical user interfaces","Speech","Performance evaluation","Sensors","Switches"
Conference_Titel :
Methods and Models in Automation and Robotics (MMAR), 2015 20th International Conference on
DOI :
10.1109/MMAR.2015.7283926