EEG based communication system in generalized & customized modes for differently abled communities / Paulraj M. P. ...[et al.]
Differently abled people such as patients with Amyotrophic Lateral Sclerosis, brain stem stroke and spinal cord injury, encounter difficulty in communication due to the loss of muscle control and speech. Intelligent Brain Machine interfaces are devices which can be used to aid these severely affecte...
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| Format: | Article |
| Language: | en |
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UiTM Press
2013
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| Online Access: | https://ir.uitm.edu.my/id/eprint/62949/1/62949.pdf https://ir.uitm.edu.my/id/eprint/62949/ https://jeesr.uitm.edu.my/v1/ |
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| _version_ | 1839753617998872576 |
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| author | M.P., Paulraj Adom, Abdul Hamid Yaacob, Sazali C.R., Hema Mohd Muslim Tan, Erdy Sulino Nataraj, Sathees Kumar |
| author_facet | M.P., Paulraj Adom, Abdul Hamid Yaacob, Sazali C.R., Hema Mohd Muslim Tan, Erdy Sulino Nataraj, Sathees Kumar |
| author_sort | M.P., Paulraj |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Differently abled people such as patients with Amyotrophic Lateral Sclerosis, brain stem stroke and spinal cord injury, encounter difficulty in communication due to the loss of muscle control and speech. Intelligent Brain Machine interfaces are devices which can be used to aid these severely affected people through the power of thought. In this research work, a Thought Controlled Communication System has been developed using seven English words which is considered to convey the basic needs of a patient. The proposed communication system records the Electroencephalography signal while mentally reading the words. The recorded EEG signals are pre-processed and segmented into four frequency bands. The band frequency signals are used to extract features using band power and power spectral density algorithms. In this analysis, two simple classifiers namely Multi Layer Neural Network and k-Nearest Neighbor have been used for recognizing the extracted features in both generalized and customized modes. The proposed classification system has been validated through simulation. |
| format | Article |
| id | my.uitm.ir-62949 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2013 |
| publisher | UiTM Press |
| record_format | eprints |
| spelling | my.uitm.ir-629492025-08-04T07:14:23Z https://ir.uitm.edu.my/id/eprint/62949/ EEG based communication system in generalized & customized modes for differently abled communities / Paulraj M. P. ...[et al.] jeesr M.P., Paulraj Adom, Abdul Hamid Yaacob, Sazali C.R., Hema Mohd Muslim Tan, Erdy Sulino Nataraj, Sathees Kumar Telecommunication Differently abled people such as patients with Amyotrophic Lateral Sclerosis, brain stem stroke and spinal cord injury, encounter difficulty in communication due to the loss of muscle control and speech. Intelligent Brain Machine interfaces are devices which can be used to aid these severely affected people through the power of thought. In this research work, a Thought Controlled Communication System has been developed using seven English words which is considered to convey the basic needs of a patient. The proposed communication system records the Electroencephalography signal while mentally reading the words. The recorded EEG signals are pre-processed and segmented into four frequency bands. The band frequency signals are used to extract features using band power and power spectral density algorithms. In this analysis, two simple classifiers namely Multi Layer Neural Network and k-Nearest Neighbor have been used for recognizing the extracted features in both generalized and customized modes. The proposed classification system has been validated through simulation. UiTM Press 2013-06 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/62949/1/62949.pdf M.P., Paulraj and Adom, Abdul Hamid and Yaacob, Sazali and C.R., Hema and Mohd Muslim Tan, Erdy Sulino and Nataraj, Sathees Kumar (2013) EEG based communication system in generalized & customized modes for differently abled communities / Paulraj M. P. ...[et al.]. (2013) Journal of Electrical and Electronic Systems Research (JEESR) <https://ir.uitm.edu.my/view/publication/Journal_of_Electrical_and_Electronic_Systems_Research_=28JEESR=29.html>, 6 (1): 3. pp. 19-32. ISSN 1985-5389 https://jeesr.uitm.edu.my/v1/ |
| spellingShingle | Telecommunication M.P., Paulraj Adom, Abdul Hamid Yaacob, Sazali C.R., Hema Mohd Muslim Tan, Erdy Sulino Nataraj, Sathees Kumar EEG based communication system in generalized & customized modes for differently abled communities / Paulraj M. P. ...[et al.] |
| title | EEG based communication system in generalized & customized modes for differently abled communities / Paulraj M. P. ...[et al.] |
| title_full | EEG based communication system in generalized & customized modes for differently abled communities / Paulraj M. P. ...[et al.] |
| title_fullStr | EEG based communication system in generalized & customized modes for differently abled communities / Paulraj M. P. ...[et al.] |
| title_full_unstemmed | EEG based communication system in generalized & customized modes for differently abled communities / Paulraj M. P. ...[et al.] |
| title_short | EEG based communication system in generalized & customized modes for differently abled communities / Paulraj M. P. ...[et al.] |
| title_sort | eeg based communication system in generalized & customized modes for differently abled communities / paulraj m. p. ...[et al.] |
| topic | Telecommunication |
| url | https://ir.uitm.edu.my/id/eprint/62949/1/62949.pdf https://ir.uitm.edu.my/id/eprint/62949/ https://jeesr.uitm.edu.my/v1/ |
| url_provider | http://ir.uitm.edu.my/ |