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Now showing items 61-70 of 172
Discrimination of vision impairments using single trial VEPs
(IEEE Conference Publications, 2011-11)
Analysis of Visually evoked potential (VEP) in the investigation of ocular diseases is gaining interests from researchers all over the world. VEP is an electrical signal generated by the brain (Occipital Cortex) in response ...
Classification of emotional States from electrocardiogram signals: a non-linear approach based on hurst
(BioMed Central, 2013-05)
Background: Identifying the emotional state is helpful in applications involving patients with autism and other intellectual disabilities; computer-based training, human computer interaction etc. Electrocardiogram (ECG) ...
Emotion recognition from electrocardiogram signals using Hilbert Huang Transform
(IEEE Conference Publications, 2012-10)
Equipping robots and computers with emotional intelligence is becoming important in Human-Computer Interaction (HCI). Bio-signal based methods are found to be reliable and accurate than conventional methods as they directly ...
EMG signal based human stress level classification using wavelet packet transform
(Springer-Verlag, 2012)
Recent days, Electromyogram (EMG) signal acquired from muscles can be useful to measure the human stress levels. The aim of this present work to investigate the relationship between the changes in human stress levels to ...
Optimization of circular side door beam for crashworthiness analysis
(Indonesian Society for Knowledge and Human Development (INSIGHT), 2012)
Structural optimization related to crashworthiness and energy absorption capability is particularly importance to the
automotive industry. The optimization involves highly nonlinear computational analysis and design with ...
Improved back propagation neural network for the diagnosis of pathological voices
(Association for Advancedment of Modelling and Simulation Techniques in Entreprises (A.M.S.E), 2008)
Most of vocal and voice diseases cause changes in the voice. ENT clinicians use acoustic voice analysis to characterize the pathological voices. Nowadays, voice diseases are increasing dramatically due to unhealthy social ...
FCM clustering of emotional stress using ECG features
(IEEE Conference Publications, 2013-04)
Emotional stress refers to the inducement of stress due to the consequence of a continuous experience of negative emotions (sad, anger, fear and disgust). This work aims to investigate the effect of negative emotions in ...
Mental tasks classifications using S-transform for BCI applications
(IEEE Conference Publications, 2011-10)
The classification of different types of mental tasks is an active area of research that seems to be ever expanding. This field is gaining interest from researchers all over the world. This study is intended to utilize the ...
Infant cry classification: time frequency analysis
(IEEE Conference Publications, 2013-11)
Acoustic analysis of infant cry has been the subject of a number of researchers since half decades ago. This paper addresses a simple time-frequency analysis based signal processing technique using short-time Fourier ...
Car cabin interior noise classification using temporal composite features and probabilistic neural network model
(Trans Tech Publications Inc., 2014)
Determination of vehicle comfort is important because continuous exposure to the noise and vibration leads to health problems for the driver and passengers. In this paper, a vehicle comfort level classification system has ...