Offline Analysis for Designing Electrooculogram Based Human Computer Interface Control for Paralyzed Patients
Currently, majority of persons were immobilized and need aid from caretakers due to disability. To reduce and overcome such problem, there was a need for developing human-computer interface (HCI) with the help of biosignals. In this paper, we propose a two-channel elecctrooculograpy (EOG)-based HCI...
Main Authors: | Gu Jialu, S. Ramkumar, G. Emayavaramban, M. Thilagaraj, V. Muneeswaran, M. Pallikonda Rajasekaran, Ahmed Faeq Hussein |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2018-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8555992/ |
Similar Items
-
Development of an electrooculogram-based eye-computer interface for communication of individuals with amyotrophic lateral sclerosis
by: Won-Du Chang, et al.
Published: (2017-09-01) -
Brain Computer Interface for Neurodegenerative Person Using Electroencephalogram
by: Li Junwei, et al.
Published: (2019-01-01) -
Amyotrophic Lateral Sclerosis
Published: (2021) -
The correlation between motor impairments and event-related desynchronization during motor imagery in ALS patients
by: Kasahara Takashi, et al.
Published: (2012-06-01) -
Evaluation of a P300-Based Brain-Machine Interface for a Robotic Hand-Orthosis Control
by: Jonathan Delijorge, et al.
Published: (2020-11-01)