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Time-frequency analysis of EEG signals for human emotion detection
(Springer Berlin Heidelberg, 2008)
This paper proposes an emotion recognition system from EEG (Electroencephalogram) signals. The main objective of this work is to compare the efficacy of classifying human emotions using two discrete wavelet transform (DWT) ...
Extraction of head and hand gesture features for recognition of sign language
(IEEE Conference Publications, 2008)
Sign language is the primary communication method that impaired hearing people used in their daily life. Sign language recognition has gained a lot of attention recently by researchers in computer vision. Sign language ...
Neural network based detection of voice disorders using energy spectrum and equal-loudness contours
(Universiti Teknologi MARA (UiTM), 2008-03-07)
Impairment of vocal function can have a major impact on the quality of life, severely limiting communication at work and affecting all social aspect of daily life. In the recent years, voice disease are increasing dramatically ...
Lifting scheme for human emotion recognition using EEG
(IEEE Conference Publications, 2008-08)
In recent years, the need and importance of automatically recognizing emotions from EEG signals has grown with increasing role of brain computer interface applications. The detection of fine grained changes in functional ...
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 ...
Motorbike engine faults diagnosing system using neural network
(IEEE Conference Publications, 2008-12)
Monitoring systems for motorbike industry requires high and efficient degree of performance. In recent years, automatic identification and diagnosis of motorbike engine faults has become a very complex and critical task. ...
Brain machine interface: Analysis of segmented EEG signal classification using short-time PCA and recurrent neural networks
(University of Basrah, 2008)
Brain machine interface provides a communication channel between the human brain and an
external device. Brain interfaces are studied to provide rehabilitation to patients with
neurodegenerative diseases; such patients ...
A preliminary study of inhaled pharmaceutical aerosol flow characteristics in metered dose inhaler spacer
(Springerlink, 2008-06-25)
Metered Dose Inhalers (MDI) is used to prevent
and relieve the symptoms and progression of certain diseases
(asthma, chronic obstructive pulmonary disease, cystic fibrosis
and bronchiectosis) by delivering the inhaled ...
Feature extraction based on mel-scaled wavelet packet transform for the diagnosis of voice disorders
(SpringerLink, 2008-06-25)
Feature extraction from the vocal signal plays very important role in the area of automatic detection of voice disorders. Many feature extraction algorithms have been developed in the last three decades based on acoustic ...
Automatic detection of voice disorders using self loop architecture in back propagation network
(Anna University, 2008-01-04)
Acoustic analysis is a non-invasive technique to detect the voice disorders and diagnose the vocal and voice disease. In the recent years, voice disease are increasing dramatically due to unhealthy social habits and voice ...