Browsing M. Murugappan, Dr. by Title
Now showing items 28-47 of 67
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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 ... -
Hospital nurse following robot: Hardware development and sensor integration
(Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)Hospital nurse regularly bring her instrument to the patient using cart. They need to push or pull the cart to the patient bed and bring it back many times in a day. This can be a tiresome for nurse because they need ... -
Hospital nurse following robot: hardware development and sensor integration
(Inderscience Enterprises Ltd., 2014)Hospital nurse regularly bring her instrument to the patient using cart. They need to push or pull the cart to the patient bed and bring it back many times in a day. This can be tiresome for nurses because they need to ... -
Human emotion classification using wavelet transform and KNN
(Institute of Electrical and Electronics Engineers (IEEE), 2011-06-28)Emotion is one of the most important features of humans. Without the ability of emotions processing, computers and robots cannot communicate with human in natural way. In this paper we presented the classification of human ... -
Human emotion recognition through short time Electroencephalogram (EEG) signals using Fast Fourier Transform (FFT)
(Institute of Electrical and Electronics Engineers (IEEE), 2013-03)Human emotion recognition plays a vital role in psychology, psycho-physiology and human machine interface (HMI) design. Electroencephalogram (EEG) reflects the internal emotional state changes of the subject compared to ... -
Human emotional stress assessment through Heart Rate Detection in a customized protocol experiment
(IEEE Conference Publications, 2012-09)Continuous existence of negative emotions (disgust, anger, fear and sad) over a longer period of time induces emotional stress. This emotional stress can be analyzed through physiological signal characteristics such as ... -
Human emotions classification and EEG channel reduction: A review
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)Brain signals are collected from the human scalp through a set of electrodes placed over the entire scalp. In recent years, the researchers are using higher number of Electroencephalography (EEG) channels to collect the ... -
Human postures modeling using motion analysis: A review
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)Human motion analysis via computer vision is an important aspect in a wide range of application; ranging from human-computer interaction (HCI) to ergonomics and biomechanics. This paper presents an overview of all processes ... -
Hypovigilance detection using energy of electrocardiogram signals
(NISCAIR PUBLICATIONS, 2012-12)Driver drowsiness and driver inattention are the major causes for road accidents leading to severe traumas such as physical injuries, deaths, and economic losses. This necessitates the need for a system that can alert the ... -
Hypovigilance warning system: A review on driver alerting techniques
(Institute of Electrical and Electronics Engineers (IEEE), 2011-06-27)In recent years, driver hypovigilance (drowsiness and inattentiveness) is one of the major causes for road accidents and it leads to severe traumas such as physical injuries, deaths, and economic losses. Several researchers ... -
Inter-hemispheric EEG coherence analysis in Parkinson's disease: Assessing brain activity during emotion processing
(Springer-Verlag Wien, 2014-06)Parkinson's disease (PD) is not only characterized by its prominent motor symptoms but also associated with disturbances in cognitive and emotional functioning. The objective of the present study was to investigate the ... -
An investigation on visual and audiovisual stimulus based emotion recognition using EEG
(Inderscience Enterprises Ltd., 2009-01)In this paper, we investigate the possibility of using visual and audio visual stimulus for detecting the human emotion by measuring electroencephalogram (EEG). Visual and audiovisual stimulus based protocols is designed ... -
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 ... -
Machine learning approach for sudden cardiac arrest prediction based on optimal heart rate variability features
(American Scientific Publishers, 2014-08)Sudden Cardiac Arrest (SCA) is a devastating heart abnormality which leads to millions of casualty per year. Thus, early detection or prediction of SCA could save the human lives in greater scale. This present work is aimed ... -
Mathematical implementation of hybrid fast fourier transform and discrete wavelet transform for developing graphical user interface using visual basic for signal processing applications
(World Scientific Publishing Co. Pte Ltd, 2012)In recent years, the application of discrete wavelet transform (DWT) on biosignal processing has made a significant impact on developing several applications. However, the existing user-friendly software based on graphical ...