EOG-sEMG Human Interface for Communication
The aim of this study is to present electrooculogram (EOG) and surface electromyogram (sEMG) signals that can be used as a human-computer interface. Establishing an efficient alternative channel for communication without overt speech and hand movements is important for increasing the quality of life...
Main Authors: | Hiroki Tamura, Mingmin Yan, Keiko Sakurai, Koichi Tanno |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2016-01-01
|
Series: | Computational Intelligence and Neuroscience |
Online Access: | http://dx.doi.org/10.1155/2016/7354082 |
Similar Items
-
Latent Factors Limiting the Performance of sEMG-Interfaces
by: Sergey Lobov, et al.
Published: (2018-04-01) -
A smart textile based facial EMG and EOG computer interface
by: Paul, Gordon, et al.
Published: (2013) -
Gaze Estimation Method Using Analysis of Electrooculogram Signals and Kinect Sensor
by: Keiko Sakurai, et al.
Published: (2017-01-01) -
sEMG Based Human Motion Intention Recognition
by: Li Zhang, et al.
Published: (2019-01-01) -
sEMG dataset of routine activities
by: Asad Mansoor Khan, et al.
Published: (2020-12-01)