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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 ...
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 ...
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 ...
Wireless EEG signals based neuromarketing system using Fast Fourier Transform (FFT)
(IEEE Conference Publications, 2014-03)
his work aims to identify the most preferred brand on automotive in Malaysia through wireless EEG signals. A group of four major vehicle brand advertisements such as Toyota, Audi, Proton and Suzuki is considered on this ...
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 ...
Development of cost effective ECG data acquisition system for clinical applications using LabVIEW
(IEEE Conference Publications, 2014-03)
The main objective of this work is to develop a portable and cost effective data acquisition (DAQ) system for clinical applications. This DAQ consists of several modules such as power supply, analog to digital converter ...
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 ...
On the analysis of EEG power, frequency and asymmetry in Parkinson's disease during emotion processing
(BioMed Central Ltd., 2014-03)
Objective: While Parkinson's disease (PD) has traditionally been described as a movement disorder, there is growing evidence of disruption in emotion information processing associated with the disease. The aim of this study ...
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 ...
A software prototype based emotional impairments detection in neurological disorders patients using wireless EEG signals
(Universiti Malaysia Perlis (UniMAP), 2014-05)
Social communication and the ability to respond emotional signals are essential for
meaningful Interpersonal Iinteractions