EOG based virtual keyboard
Autor: | Nitin Chandrachoodan, S. Sai Surya Teja, M. Ramasubba Reddy, Sharat S. Embrandiri |
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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 |
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