Title :
EOG based virtual keyboard
Author :
Teja, S. Sai Surya ; Embrandiri, Sharat S. ; Chandrachoodan, Nitin ; Reddy M, Ramasubba
Author_Institution :
Bio-Med. Eng. Group, Dept. of Appl. Mech., IIT Madras, Chennai, India
Abstract :
In this paper, an EOG based assistive system for typing text using a virtual keyboard is presented. An indigenously developed acquisition system based on arduino interfaced ADS1299 with a wearable dry electrode mask is used to record and process EOG signals. An accuracy of 100% and an average speed of 1 char/12 sec was achieved by an untrained person in online implementation of this system. This can be further improvised by word prediction algorithms.
Keywords :
biomedical electrodes; electro-oculography; keyboards; medical signal detection; virtual reality; word processing; EOG based assistive system; EOG signals; acquisition system; arduino interfaced ADS1299; online implementation; text typing; virtual keyboard; wearable dry electrode mask; word prediction algorithms; Accuracy; Algorithm design and analysis; Classification algorithms; Electrodes; Electrooculography; Keyboards; Threshold voltage;
Conference_Titel :
Biomedical Engineering Conference (NEBEC), 2015 41st Annual Northeast
Conference_Location :
Troy, NY
Print_ISBN :
978-1-4799-8358-2
DOI :
10.1109/NEBEC.2015.7117201
