G.M. Lingaraju

Sahyadri college of engineering and management Mangalore

Augmented Reality (AR) has been getting increased traction lately with a plethora of AR-enabled devices on the market ranging from smartphones to commercial Head-Mounted Displays (HMDs). With the rise in AR, a need exists for there to be a more natural and intuitive form of interaction with virtual content that does not interfere with the user expe...

Attention-Deficit/Hyperactivity Disorder or ADHD poses a severe concern for today's youth, especially when the costs, efficacy, side effects of medication and the lack of immediate risk discourage treatment. ADHD causes people to make impulsive decisions, making it harder to succeed in school, work, and other aspects of life. Neurofeedback Therapy...

Machine learning (ML) is the field that adds intelligence to devices providing them with capabilities to process and identify patterns in data just like human beings do. Programming devices in this manner can help in identifying those patterns which human beings often cannot. Machine learning is based on modelling data mathematically. ML has been g...

A brain computer interface is a direct neural interface or a brain–machine interface. It provides a communication path between human brain and the computer system. It aims to convey people's intentions to the outside world directly from their thoughts. This paper focuses on current model which uses brain signals for the authentication of users. The...

In this paper, a hybridization technique for multi-dimensional image segmentation algorithm is proposed. This algorithm is the combination of both the region growing and texture-based morphological algorithm of watersheds. An edge-preserving statistical noise reduction method is utilized as a preprocessing phase to calculate a perfect estimate of t...

Communication that exists between Human Brain and Computer is termed as Brain Computer Interface (BCI). This uses neuronal activity of the brain. Information is passed from one part of the body to another through the neurons present in the human brain. This paper focuses on different types of classification algorithm to explore a new kind of BCI pa...

Electroencephalography (EEG) signals arise from the ionic potentials evolved when neurons are fired in the brain during a thought process. Functional Magnetic Resonance Imaging (fMRI) and EEG are two of the commonly used techniques for mapping brain activity and gaining a window into our thoughts. The possibilities are endless, if a technique is de...

EEG based brain computer interface has emerged as a hot spot in the study of neuroscience, machine learning and rehabilitation in the recent years. A BCI provides a platform for direct communication between a human brain and a computer without the normal neurophysiology pathways. The electrical signals in the brain, because of their fast response t...

A hybrid multidimensional image segmentation algorithm, which combines region growing and texture based morphological algorithm of watersheds, is proposed. An edge-preserving statistical noise reduction technique is utilized as a stage of pre-processing with the aim of calculation of an exact estimation of the image gradient. After that, a prelimin...

A Brain Computer Interface (BCI) provides a communication path between human brain and the computer system. The major goal of BCI research is to develop a system that allows disabled people to communicate with other people, to control artificial limbs, or to control their environment. BCI is a challenging topic of computer vision research. It is ex...

In this paper, an attempt is made to apply few conventional methods of EEG feature extraction and classification methods and compare their performance for a specific task. Two different feature extraction and classification methods are implemented to classify the mental tasks of EEG signals from a known dataset. For this purpose, the auto regressio...

In this paper we propose an Electroencephalogram based Brain Computer Interface as a new modality for Person Authentication and develop a screen lock application that will lock and unlock the computer screen at the users will. The brain waves of the person, recorded in real time are used as password to unlock the screen. Data fusion from 14 sensors...

The existing techniques in the context of fluid modelling and simulation have been reviewed. Generic framework that enables an easy integration of various modules has been developed, extending the work to real-time simulation and visualisation, and developed user interaction during run-time using the concept of computational steering. In the generi...

Summary This paper discusses real time visualisation of free surface flows that are modelled using an Arbitrary Lagrangian Eulerian (ALE) approach. To integrate the dynamic simulation with the visualization, a comprehensive yet extensible Graphical User Interface (GUI) is used. The visualization technique employed is demonstrated on a free surface...

Abstact Visualization is the science of giving visual appearance to raw data for humans to understand the content of the raw data. This broad definition of visualization encompasses Information visualization, Data Visualization (Databases) and scientific D Visualization (VTK, OpenDX, AVS etc). VTK is an open-source IDE for creating and editing VTK...