Aggressiveness Level Assessment using EEG Inter Channel Correlation Coefficients
نویسندگان
چکیده
منابع مشابه
Demosaicking using inter-channel correlation in wavelet domain
In this paper, we propose a demosaicking method that uses a correlation between the wavelet subband coefficients in the high frequency region of color channels (R, G and B). In this paper, we introduce the pre-existing demosaicking methods, and show that our proposed method yields an outstanding performance through in imitation tests compared to pre-existing methods in terms of objective perfor...
متن کاملToward an Objective Measure of Listener Engagement with Natural Music Using Inter-subject Eeg Correlation
This study extends existing research on inter-subject correlations (ISCs) of brain responses as a measure of engagement, with a focus on the relationship between the structural coherence of a musical stream and the listener’s degree of engagement with it. EEG was recorded while subjects listened to naturalistic music (popular Hindi songs) presented in original versions and in temporally disrupt...
متن کاملAutomatic recognition of alertness level from EEG by using neural network and wavelet coefficients
Electrophysiological recordings are considered a reliable method of assessing a person’s alertness. Sleep medicine is asked to offer objective methods to measure daytime alertness, tiredness and sleepiness. As EEG signals are non-stationary, the conventional method of frequency analysis is not highly successful in recognition of alertness level. This paper deals with a novel method of analysis ...
متن کاملA Demosaicking Algorithm with Adaptive Inter-Channel Correlation
Most common cameras use a CCD sensor device measuring a single color per pixel. Demosaicking is the interpolation process by which one can infer a full color image from such a matrix of values, thus interpolating the two missing components per pixel. Most demosaicking methods take advantage of inter-channel correlation locally selecting the best interpolation direction. The obtained results loo...
متن کاملCluster analysis using different correlation coefficients
Partitioning objects into closely related groups that have different states allows to understand the underlying structure in the data set treated. Different kinds of similarity measure with clustering algorithms are commonly used to find an optimal clustering or closely akin to original clustering. Using shrinkage-based and rank-based correlation coefficients, which are known to be robust, the ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Indian Journal of Science and Technology
سال: 2015
ISSN: 0974-5645,0974-6846
DOI: 10.17485/ijst/2015/v8i21/79136