Volume 10, Issue 1, 2017, Pages 266 - 276
Design and Implementation of a Speller based on EMG Signal
Authors
P M Shyam Prasad1, shyam.prasad@students.vnit.ac.in, Radhika Swarnkar2, radhika.swarnkar@students.vnit.ac.in, Mohammad Farukh Hashmi3, farooq786engg@gmail.com, Avinash G. Keskar4, agkeskar@ece.vnit.ac.in
Received 19 April 2016, Accepted 3 September 2016, Available Online 1 January 2017.
- DOI
- 10.2991/ijcis.2017.10.1.18How to use a DOI?
- Keywords
- EMG Signal; Fast Walsh Hadamard Transform; Naïve Bayes Classifier; Emotiv Epoc headset
- Abstract
A speller is a communication device designed for those suffering from neuromuscular disorders having difficulty to speak. An EMG based design is proposed which uses eye blinks for character selection that offers high accuracy and more comfort to the user. The eye blink signals are feature extracted using Fast Walsh Hadamard Transform (FWHT) and classified using Naive Bayes Classifier. The proposed design has achieved an accuracy of 100% for all users. The average values achieved for spelling rate was 12.12 characters/minute and ITR was 71.39 bits/minute.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).
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TY - JOUR AU - P M Shyam Prasad AU - Radhika Swarnkar AU - Mohammad Farukh Hashmi AU - Avinash G. Keskar PY - 2017 DA - 2017/01/01 TI - Design and Implementation of a Speller based on EMG Signal JO - International Journal of Computational Intelligence Systems SP - 266 EP - 276 VL - 10 IS - 1 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.2017.10.1.18 DO - 10.2991/ijcis.2017.10.1.18 ID - ShyamPrasad2017 ER -