EOG-based eye tracking protocol using baseline drift removal algorithm for long-term eye movement detection

作者：

Highlights：

• This paper proposes a new DOSbFC algorithm to remove baseline drift of EOG Signals.

• This paper presents a new electrode positioning scheme based on eyeglasses.

• This paper provides a long-term eye movement detection function with high accuracy.

摘要

•This paper proposes a new DOSbFC algorithm to remove baseline drift of EOG Signals.•This paper presents a new electrode positioning scheme based on eyeglasses.•This paper provides a long-term eye movement detection function with high accuracy.

论文关键词：Human–computer interaction,Ubiquitous computing,Pattern recognition,Signal processing systems,Electrooculography

论文评审过程：Received 23 March 2018, Revised 17 March 2019, Accepted 16 April 2019, Available online 24 April 2019, Version of Record 4 May 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.04.039