Browsing M. Murugappan, Dr. by Title
Now showing items 14-33 of 67
-
Development of EEG data acquisition device by using single board computer
(Inderscience Enterprises Ltd., 2013)Electroencephalogram (EEG) plays a vital role in several medical diagnosis (brain tumour detection, Alzheimer disease, epilepsy, etc.), engineering applications (emotion detection, drowsiness detection, stress assessment, ... -
Development of EEG data acquisition device by using TS7800 Single Board Computer (SBC)
(Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)Electroencephalogram (EEG) plays a vital role in several medical diagnosis (brain tumor detection, Alzheimer disease, epilepsy, etc), engineering applications (emotion detection, drowsiness detection, stress assessment, ... -
Driver inattention detection methods: a review
(IEEE Conference Publications, 2012)In recent years, driver inattention or distraction is one of the major causes for road accidents. If the distracted driver is alerted on time, most of the physical injuries, deaths, and economic losses can be avoided. To ... -
Drowsiness detection during different times of day using multiple features
(Springer Netherlands, 2013)Driver drowsiness has been one of the major causes of road accidents that lead to severe trauma, such as physical injury, death, and economic loss, which highlights the need to develop a system that can alert drivers of ... -
DWT and MFCC based human emotional speech classification using LDA
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)Recent years, identification of gender based on emotional speech is one of the active research areas in developing intelligent human machine interactive (HMI) systems and biometric system. This work aims to identify the ... -
Early predictionof cardiovascular diseases using ECG signal: A review
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)Electrocardiography is considered a representative signal of cardiac physiology. ECG signal analysis can provide lots of information about heart condition whether it is normal and abnormal. Cardiovascular Disease (CVD) is ... -
ECG signals based mental stress assessment using wavelet transform
(IEEE Conference Publications, 2011-11)This paper describes the mental stress assessment using Electrocardiography (ECG) signal. Stress reflects the changes in heart rates under stressful situation. In this work, Heart Rate Variability (HRV) from ECG signal is ... -
EEG dynamics in neurological disorders: Parkinson's disease and stroke
(IEEE Conference Publications, 2012)The electroencephalogram (EEG) signals provide oscillatory dynamics and valuable information about brain function. In fact, this permits the detection of changes in neurological state which are especially useful in the ... -
Electromyogram signal based human emotion classification using KNN and LDA
(IEEE Conference Publications, 2011-06)In this paper, we presents Electromyogram (EMG) signal based human emotion classification using K Nearest Neighbor (KNN) and Linear Discriminant Analysis (LDA). Five most dominating emotions such as: happy, disgust, fear, ... -
EMG signal based human stress level classification using wavelet packet transform
(Springer-Verlag, 2012)Recent days, Electromyogram (EMG) signal acquired from muscles can be useful to measure the human stress levels. The aim of this present work to investigate the relationship between the changes in human stress levels to ... -
Emotion classification in Parkinson's disease by higher-order spectra and power spectrum features using EEG signals: a comparative study
(World Scientific Publishing Co. Pte Ltd, 2014-03)Deficits in the ability to process emotions characterize several neuropsychiatric disorders and are traits of Parkinson's disease (PD), and there is need for a method of quantifying emotion, which is currently performed ... -
Emotion detection from QRS complex of ECG signals using hurst exponent for different age groups
(IEEE Conference Publications, 2013-09)Emotion recognition using physiological signals is one of the key research areas in Human Computer Interaction (HCI). In this work, we identify the six basic emotional states (Happiness, sadness, fear, surprise, disgust ... -
Emotion processing in Parkinson's disease: an EEG spectral power study
(Informa Healthcare, 2013)Objective: Although an emotional deficit is a common finding in Parkinson's disease (PD), its neurobiological mechanism on emotion recognition is still unknown. This study examined the emotion processing deficits in PD ... -
Emotion recognition from electrocardiogram signals using Hilbert Huang Transform
(IEEE Conference Publications, 2012-10)Equipping robots and computers with emotional intelligence is becoming important in Human-Computer Interaction (HCI). Bio-signal based methods are found to be reliable and accurate than conventional methods as they directly ... -
Emotion recognition from facial EMG signals using higher order statistics and principal component analysis
(Taylor & Francis, 2014-04)Higher order statistics (HOS) is an efficient feature extraction method used in diverse applications such as bio signal processing, seismic data processing, image processing, sonar, and radar. In this work, we have ... -
Facial expression based computer cursor control system for assisting physically disabled person
(Institute of Electrical and Electronics Engineers (IEEE), 2012)Recent years, several researchers are developingc different kinds of assistive devices for physically disabled peoples. In this work, movement of illuminant markers through facial expressions is used to control the cursor ... -
FCM clustering of emotional stress using ECG features
(IEEE Conference Publications, 2013-04)Emotional stress refers to the inducement of stress due to the consequence of a continuous experience of negative emotions (sad, anger, fear and disgust). This work aims to investigate the effect of negative emotions in ... -
Frequency band analysis of electrocardiogram (ECG) signals for human emotional state classification using discrete wavelet transform (DWT)
(Society of Physical Therapy Science, 2013-06)[Purpose] Intelligent emotion assessment systems have been highly successful in a variety of applications, such as e-learning, psychology, and psycho-physiology. This study aimed to assess five different human emotions ... -
Frequency band analysis of electrocardiogram (ECG) signals for human emotional state classification using discrete wavelet transform (DWT)
(Society of Physical Therapy Science, 2013-06)[Purpose] Intelligent emotion assessment systems have been highly successful in a variety of applications, such as e-learning, psychology, and psycho-physiology. This study aimed to assess five different human emotions ... -
Frequency study of facial electromyography signals with respect to emotion recognition
(Walter de Gruyter GmbH, 2014-01)Emotional intelligence is one of the key research areas in human-computer interaction. This paper reports the development of an emotion recognition system using facial electromyogram (EMG) signals focusing the ambiguity ...