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Now showing items 51-60 of 61
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 ...
Comparison of performance using Daubechies Wavelet family for facial expression recognition
(Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)
This paper investigates the performance of a Daubechies Wavelet family in recognizing
facial expressions. A set of luminance stickers were fixed on subject's face and the
subject is instructed to perform required facial ...
Non-invasive pathological voice classifications using linear and non-linear classifiers
(Universiti Malaysia Perlis (UniMAP), 2010)
In this research work, a non-invasive method is conducted to diagnose the voice diseases
through acoustic analysis of voice signal. Three feature extraction methods are proposed based
on the time-domain energy variations, ...
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 ...
Detection of facial changes for hospital ICU patients using neural network
(Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)
This paper presents an integrated system for detecting facial changes of patient in a hospital in Intensive Care Unit (ICU). The facial changes are most widely represented by eyes movements. The proposed system uses color ...
Detection of facial changes for hospital ICU patients
(Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)
This paper presents an integrated system for detecting facial changes of patient in a
hospital in Intensive Care Unit (ICU). The facial changes are most widely represented
by eyes and mouth movements. The proposed system ...
A new hybrid intelligent system for accurate detection of Parkinson's disease
(Elsevier, 2014-03)
Elderly people are commonly affected by Parkinson's disease (PD) which is one of the most common neurodegenerative disorders due to the loss of dopamine-producing brain cells. People with PD's (PWP) may have difficulty in ...
Malay speech recognition in normal and noise condition
(Institute of Electrical and Electronics Engineers (IEEE), 2012-03)
Automatic speech recognition (ASR) is an area of research which deals with the recognition of speech by machine in several conditions. ASR performs well under restricted conditions (quiet environment), but performance ...