Sibsambhu Kar

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OBJECTIVE Network analysis of electroencephalograph (EEG) signals to study the effect of fatigue and sleep deprivation in human drivers and its validation using blood biochemical parameters. METHODS We present a new method of detection of human fatigue and sleepiness by studying the variation of functional interdependencies among EEG signals from various(More)
This paper uses voice response analysis of human subjects for assessing their level of fatigue. The results are simultaneously validated through Electroencephalography (EEG) based measurements. We have designed a 36-hour long experiment where the subjects are asked to repeat a particular sentence at different stages. The response is analyzed for computing(More)
The Scalp EEG is a large-scale & robust information source about neocortical dynamic functions. In this paper, we analyze a scalp Electro-Encephalogram (EEG) database of 12 human subjects driving on a simulated condition in laboratory, in 11 different stages of fatigue for characterizing the source natures on the cortex surface. In this paper, the(More)
A critical analysis of physical fatigue from prolonged driving in real time and subsequent scoring will be a boon for transport sector to prevent road traffic accidents. The current study has two objectives, first, to conduct a multidimensional analysis of central and physical components of fatigue in drivers during simulated driving session and second, to(More)
The state of brain and its rapid transition from one state to the other is responsible for various activities and cognitive functions. These brain states are the result of balanced coordination between integrating and segregating activities of different lobes through rhythmic oscillations. Such coordination has been studied in recent times through(More)
Image registration is a key requirement in many multi-frame imaging solutions like focus stacking, stereo imaging, 2D to 3D video reconstruction etc. Several techniques are proposed in literature based on key point or feature detection. Most of these techniques involve correlation, feature or key point detection, projection on multiple coordinates etc. But(More)
Fog and haze degrade the quality of preview and captured image by reducing the contrast and saturation. As a result the visibility of scene or object degrades. The objective of the present work is to enhance the visibility, saturation, contrast and reduce the noise in a foggy image. We propose a method that uses single frame for enhancing foggy images using(More)
Synchronization measures between Electro-Encephalogram (EEG) signals from different regions of the brain characterize the integration and segregation of brain areas during any mental and physical activity. EEG can reflect both the normal and abnormal activity of the brain and is widely used as a powerful tool in the field of clinical neurophysiology. Being(More)
Most of the mobile cameras support digital zoom but not the optical zoom. As a result, capturing images at narrow depth-of-field (DOF) is not possible. SLR cameras can capture such images with the help of optical zoom using multiple lens assembly. In this paper, we propose a technique to create SLR-like narrow DOF images using multiple frames focused at(More)
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