Browsing M. Murugappan, Dr. by Title
Now showing items 34-53 of 67
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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 ... -
Mathematical modeling of human body for lifting task
(IEEE Conference Publications, 2012)Physical lifting tasks commonly involve to types of body postures, namely, squat lifting and stoop lifting. Studies shows improper body posture during lifting task has detrimental effect to human lower-back region over ... -
Methods and approaches on emotions recognition in neurodegenerative disorders: a review
(IEEE Conference Publications, 2012)Emotion is one of the key factors for estimating the human behavior through verbal or non-verbal communication. Development of emotion recognition system gains a major attention in several applications, mainly in brain ... -
Methods and approaches on inferring human emotional stress changes through physiological signals: A review
(Inderscience Enterprises Ltd, 2013)Emotional stress is kind of stressful state which is developed due to the continuous occurrence of negative emotions such as sad, disgust, angry and fear over a long period of time. In this work, a detailed investigation ... -
Methods and approaches on inferring human emotional stress changes through physiological signals: A review
(Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)Emotional stress is kind of stressful state which is developed due to the continuous occurrence of negative emotions such as sad, disgust, angry and fear over a long period of time. Under stressful condition, Autonomic ... -
Modified energy based time-frequency features for classifying human emotions using EEG
(Universiti Malaysia Perlis, 2009-10-11)In this paper we summarize the emotion recognition from the electroencephalogram (EEG) signals. The combination of surface Laplacian filtering, time-frequency analysis (Wavelet Transform) and linear classifiers are used ... -
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 ...