Wavelet Frequency Estimation Parameter Of Energy Distribution For Electrooculograph Signal Analysis
The study investigates the electrooculograph (EOG) signals of eye movement patterns. The behaviours of the eye movement signal is described using wavelet method and combined with the energy distribution features. The features are derived from EOG signals of four type eye movement and recorded using...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Teknologi Malaysia
2011
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/5929/1/JT_54SK_KeluaranKhas_Jan2011_21.pdf http://eprints.utem.edu.my/id/eprint/5929/ http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/816 |
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| Summary: | The study investigates the electrooculograph (EOG) signals of eye movement patterns. The behaviours of the eye movement signal is described using wavelet method and combined with the energy distribution features. The features are derived from EOG signals of four type eye movement and recorded using the EEG Data Acquisition System Neurofax EEG–9200. The electrodes were attached to the subjects on the forehead and below the eye. The data is acquired from 15 subjects in a quiet room, in which the recorded data is composed by four different eye movements that are upward, downward, towards to left and towards to right. Wavelet scalogram algorithm is used as the tool because of its capable to distribute the EOG signals energy of eye movement with the change of time and frequency. From the results, it indicated that the energy distribution of EOG signals exhibit different patterns in their corresponding movements as follow: level 6 (8–16 Hz) for left eye movement; level 7 (4–8 Hz) for upward; level 8 (2–4 Hz) for right and level 9 (1–2 Hz) for downward. |
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