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Objective evaluation of speech dysfluencies using wavelet packet transform with sample entropy
(Elsevier Inc, 2013-05)
Dysfluency and stuttering are a break or interruption of normal speech such as repetition, prolongation, interjection of syllables, sounds, words or phrases and involuntary silent pauses or blocks in communication. Stuttering ...
Automatically infant cues recognition based on LDA and SVM classifier
(Springer Berlin Heidelberg, 2013)
This paper presents the management of sedation in critically ill infants is a complex issue for Intensive Care Units (ICU) worldwide. Notable complications of sedation practices have been identified and efforts to modify ...
New newborn jaundice monitoring scheme based on combination of pre-processing and color detection method
(Elsevier B.V., 2013)
Newborn jaundice is an apparent yellowing of the sclera or yellowish skin in newborn infants. This symptom is caused by a yellow pigment known as bilirubin. A high level of bilirubin in the infant is referred to as ...
Discrete wavelet transform in recognition human emotional movement through knocking
(IEEE Conference Publications, 2013)
Developing tools for identifying emotional states in human action is seen more challenging area of research and has attracted many researchers recently. In this paper, a new feature extraction method was proposed in ...
Detection of human stress using short-term ECG and HRV signals
(World Scientific Publishing Company, 2013-04)
This paper introduces a method for resolving the problem of human stress detection through short-term (less than 5 min) electrocardiogram (ECG) and heart rate variability (HRV) signals. The explored methodology helps to ...
A phoneme based sign language recognition system using interleaving feature and neural network
(Universiti Malaysia Perlis (UniMAP), 2012-02-27)
A sign language is a language which, instead of
acoustically conveyed sound patterns, uses visually transmitted
sign patterns. Sign languages are commonly developed in hearing
impaired communities, which can include ...
Performance comparison of daubechies wavelet family in Infant cry classification
(IEEE Conference Publications, 2012)
Infant cry is a non-stationary, loud, high-pitched signal made by infants in response to certain situations. This acoustic signal can be used to identify physical or psychology status of infant. The aim of this work is to ...
Multiple physiological signal-based human stress identification using non-linear classifiers
(2013)
This paper describes the human stress identification using multiple physiological signals. The Electrocardiogram (ECG), Electromyogram (EMG), Heart Rate Variability (HRV), Galvanic Skin Response (GSR), and Skin Temperature ...
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 ...
Preventing sudden infant death syndrome (SIDS) based on motion estimation and neural network
(American Scientific Publishers, 2013)
What is SIDS? SIDS is known as Sudden Infant Death Syndrome or referred as the cot death; there are no explainable causes of death after the autopsy. No one knows what causes SIDS, however researchers have theorized that ...