EOG based virtual keyboard

Autor: Nitin Chandrachoodan, S. Sai Surya Teja, M. Ramasubba Reddy, Sharat S. Embrandiri
Rok vydání: 2015
Předmět:
Zdroj: 2015 41st Annual Northeast Biomedical Engineering Conference (NEBEC).
DOI: 10.1109/nebec.2015.7117201
Popis: 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
Databáze: OpenAIRE