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Auditory wavelet packet filters for multistyle classification of speech under stress
(IEEE Conference Publications, 2011-11)
Nowadays, people are having high stress level due to high workload stress, emergency phone call and multitasking. Emotional/stress of a person affect his/her performance in daily life and speech production. The research ...
Applications of visually evoked potentials in ocular diseases: a guided tour
(IEEE Conference Publications, 2011-12)
Visually evoked potential (VEP) is an electrical signal generated by the brain (Occipital Cortex) in response to a visual stimuli. These responses are recorded non-invasively by placing the surface electrodes at the scalp, ...
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 ...
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 ...
Multistyle classification of speech under stress using wavelet packet energy and entropy features
(IEEE Conference Publications, 2011-10)
Physco-physiological conditions like stress and emotional state may affect human's speech production. Different techniques have been proposed such as facial expressions, speech production variation, and physiological signals ...
Pathological infant cry analysis using wavelet packet transform and probabilistic neural network
(Elsevier Ltd., 2011-11)
A new approach has been presented based on the wavelet packet transform and probabilistic neural network (PNN) for the analysis of infant cry signals. Feature extraction and development of classification algorithms play ...
Classification of speech dysfluencies using LPC based parameterization techniques
(Springer Science+Business Media, LLC., 2011-01-20)
The goal of this paper is to discuss and compare three feature extraction methods: Linear Predictive Coefficients (LPC), Linear Prediction Cepstral Coefficients (LPCC) and Weighted Linear Prediction Cepstral Coefficients ...
Detection of vocal fold paralysis and edema using time-domain features and probabilistic neural network
(Inderscience Publisher, 2011)
This paper proposes a feature extraction method based on time-domain energy variation for the detection of vocal fold pathology. In this work, two different vocal fold problems (vocal fold paralysis and edema) are taken ...
Patients tremble analysis under different camera placement in critical care
(Science Academy, 2011-03)
This paper presents an integrated system for detecting facial changes of patient in a hospital in Intensive Care
Unit (ICU). In this research we have considered the facial changes most widely represented by eyes and mouth ...