The SSVEP-Based BCI Text Input System Using Entropy Encoding Algorithm
Joint Authors
Chen, Pei-Jarn
Zaeni, Ilham A. E.
Wu, Chung-Min
Tickle, Andrew Jason
Chen, Yeou-Jiunn
Chen, Shih-Chung
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-27
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The so-called amyotrophic lateral sclerosis (ALS) or motor neuron disease (MND) is a neurodegenerative disease with various causes.
It is characterized by muscle spasticity, rapidly progressive weakness due to muscle atrophy, and difficulty in speaking, swallowing, and breathing.
The severe disabled always have a common problem that is about communication except physical malfunctions.
The steady-state visually evoked potential based brain computer interfaces (BCI), which apply visual stimulus, are very suitable to play the role of communication interface for patients with neuromuscular impairments.
In this study, the entropy encoding algorithm is proposed to encode the letters of multilevel selection interface for BCI text input systems.
According to the appearance frequency of each letter, the entropy encoding algorithm is proposed to construct a variable-length tree for the letter arrangement of multilevel selection interface.
Then, the Gaussian mixture models are applied to recognize electrical activity of the brain.
According to the recognition results, the multilevel selection interface guides the subject to spell and type the words.
The experimental results showed that the proposed approach outperforms the baseline system, which does not consider the appearance frequency of each letter.
Hence, the proposed approach is able to ease text input interface for patients with neuromuscular impairments.
American Psychological Association (APA)
Chen, Yeou-Jiunn& Chen, Shih-Chung& Zaeni, Ilham A. E.& Wu, Chung-Min& Tickle, Andrew Jason& Chen, Pei-Jarn. 2015. The SSVEP-Based BCI Text Input System Using Entropy Encoding Algorithm. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1073274
Modern Language Association (MLA)
Chen, Yeou-Jiunn…[et al.]. The SSVEP-Based BCI Text Input System Using Entropy Encoding Algorithm. Mathematical Problems in Engineering No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1073274
American Medical Association (AMA)
Chen, Yeou-Jiunn& Chen, Shih-Chung& Zaeni, Ilham A. E.& Wu, Chung-Min& Tickle, Andrew Jason& Chen, Pei-Jarn. The SSVEP-Based BCI Text Input System Using Entropy Encoding Algorithm. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1073274
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073274