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Recognition of facial expression using neural network
(Universiti Malaysia Perlis (UniMAP), 2010-10-16)
In this paper, we attempted to recognize facial expression by using Haar-like feature extraction method. A set of luminance stickers were fixed on subject’s face and the subject is instructed to perform required facial ...
Effect of normalization method on classification of speech dysfluencies using LPC, LPCC and WLPCC
(Universiti Malaysia Perlis (UniMAP), 2010-10-16)
The main aim of this paper is to discuss the
enhancement of the classification performance on the
speech dysfluencies, namely, prolongations and
repetitions after employ statistical normalization (SN)
on signal and ...
A comparative study of wavelet families for classification of wrist motions
(Elsevier Ltd., 2012-11)
The selection of most suitable mother wavelet function is still an open research problem in various signal and image processing applications. This paper presents a comparative study of different wavelet families (Daubechies, ...
Infant cry classification to identify asphyxia using time-frequency analysis and radial basis neural networks
(Elsevier Ltd, 2012-08)
A cry is the first verbal communication of infants and it is described as a loud, high-pitched sound made by infants in response to certain situations. Infant cry signals can be used to identify physical or psychological ...
Nano-satellite Attitude Control System
(Universiti Malaysia Perlis (UniMAP), 2009-12)
A satellite maneuvers through orbit with the use of an attitude control system (ACS) to stay on course and always pointing towards earth reference. This maximizes the solar cell-sun and camera-earth coverage, a process ...
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 ...
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 ...