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Detection of facial changes for ICU patients using KNN classifier
(2010-06)
This paper presents an integrated system for detecting facial changes of patient in a hospital in Intensive Care Unit(ICU).In this research we have considered the facial changes most widely represented by eyes and mouth ...
Statistical formant descriptors with linear predictive coefficients for accent classification
(Institute of Electrical and Electronics Engineers (IEEE), 2013-06)
Accent is a special trait of human speech that can deliver some information about a speaker's background. At the same time it is one of the profound factors that affects the intelligibility and performance of speech ...
Jaundice in newborn monitoring using color detection method
(Elsevier B.V., 2012-03-10)
Jaundice is a yellow discoloration of the skin and/or whites of the eyes that is often seen in newborn infants. The discoloration is caused by a yellow substance called bilirubin. Infants with high blood levels of bilirubin, ...
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 ...
The study of gravity gradient effect on attitude of low earth orbit satellite
(AIP Publishing LLC, 2013)
Simulations and mathematical models are increasingly used to assist the process of decision making in engineering design. The objective of this paper is to simulate the linear attitude dynamics of small satellites under ...
Discrimination of vision impairments using single trial VEPs
(IEEE Conference Publications, 2011-11)
Analysis of Visually evoked potential (VEP) in the investigation of ocular diseases is gaining interests from researchers all over the world. VEP is an electrical signal generated by the brain (Occipital Cortex) in response ...
Classification of emotional States from electrocardiogram signals: a non-linear approach based on hurst
(BioMed Central, 2013-05)
Background: Identifying the emotional state is helpful in applications involving patients with autism and other intellectual disabilities; computer-based training, human computer interaction etc. Electrocardiogram (ECG) ...
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 ...
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 ...
Optimization of circular side door beam for crashworthiness analysis
(Indonesian Society for Knowledge and Human Development (INSIGHT), 2012)
Structural optimization related to crashworthiness and energy absorption capability is particularly importance to the
automotive industry. The optimization involves highly nonlinear computational analysis and design with ...