DESIGN AND DEVELOPMENT OF HUMAN COMPUTER INTERFACE USING ELECTROOCULOGRAM WITH DEEP LEARNING
作者：
Highlights：
• Electrooculogram based Human computer Interface is designed using deep learning.
• Hibert Huang Transform based features are extracted.
• Over 91 % accuracy is achieved for all cases using Pattern Recognition Neural Network classifier.
摘要
•Electrooculogram based Human computer Interface is designed using deep learning.•Hibert Huang Transform based features are extracted.•Over 91 % accuracy is achieved for all cases using Pattern Recognition Neural Network classifier.
论文关键词：Electrooculogram (EOG),Band Power (BP),Human Computer Interface (HCI),Amyotrophic lateral sclerosis (ALS),Pattern Recognition Neural Network (PRNN)
论文评审过程：Received 16 September 2019, Revised 28 October 2019, Accepted 15 November 2019, Available online 21 November 2019, Version of Record 4 December 2019.
论文官网地址：https://doi.org/10.1016/j.artmed.2019.101765
