Rashid, Mamunur and Norizam, Sulaiman and Mahfuzah, Mustafa and M. S., Jadin and M. S., Najib (2018) Analysis of EEG Features to Control Multiple Devices. In: National Conference for Postgraduate Research (NCON-PGR 2018) , 28-29 August 2018 , Universiti Malaysia Pahang, Gambang, Pahang. pp. 1-7.. (Unpublished)
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Abstract
Brain-Computer Interface (BCI) or Human-Machine Interface (HMI) now becoming vital engineering and technology field which applying EEG technologies to provide Assistive Technology (AT) to humans. This paper presents the analysis of EEG signals from various human cognitive or mental states to determine the suitable EEG features that can be employed to control multiple devices. Here, EEG features in term of average of power spectrum, standard deviation of power spectrum and spectral centroid of power spectrum are selected to recognize human mental or cognitive state from 3 difference exercises; i) solving math problem, ii) Playing game and iii) do nothing (relax). We have calculated average power spectrum, average standard deviation of power spectrum and average spectral centroid of power spectrum of alpha and beta band for three mental exercises.
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Uncontrolled Keywords: | BCI; HMI; EEG features; Power spectrum; Standard veviation; Spectral centroid; Cognitive state |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering |
| Depositing User: | Pn. Hazlinda Abd Rahman |
| Date Deposited: | 09 Oct 2019 03:10 |
| Last Modified: | 09 Oct 2019 03:10 |
| URI: | http://umpir.ump.edu.my/id/eprint/22385 |
| Download Statistic: | View Download Statistics |
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