54 Result(s)
within
Conference Paper
Amit Konar
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Chapter and Conference Paper
Cognitive Activity Classification from EEG Signals with an Interval Type-2 Fuzzy System
The present work attempts to classify Electroencephalogram (EEG) signals corresponding to three different cognitive activities using an Interval Type 2 Fuzzy System (IT2FS) classifier. This approach is used in...
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Chapter and Conference Paper
Two Person Interaction Detection Using Kinect Sensor
This proposed work explains a noble two-person interaction modelling system using Kinect sensor. Here a pentagon for each person is formed taking the three dimensional co-ordinate information with the help of ...
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Chapter and Conference Paper
An Evolutionary Approach to Secondary Membership Function Selection in Generalized Type-2 Fuzzy Sets
Lack of knowledge about secondary membership function acts as an impediment to using generalized type-2 fuzzy sets in real-world problems. This chapter shows a new direction to compute secondary memberships in...
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Chapter and Conference Paper
Cognitive Activity Recognition Based on Electrooculogram Analysis
This work is aimed at identification of human cognitive activities from the analysis of their eye movements using Electrooculogram signals. These signals are represented through Adaptive Autoregressive Paramet...
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Chapter and Conference Paper
An Immune System Inspired Algorithm for Protein Function Prediction
An important problem in the field of bioinformatics research is assigning functions to proteins that have not been annotated. The extent, to which protein function is predicted accurately, depends largely on t...
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Chapter and Conference Paper
Online Template Matching Using Fuzzy Moment Descriptor
In this paper a real-time template matching algorithm has been developed using Fuzzy (Type-1 Fuzzy Logic) approach. The Fuzzy membership-distance products, called Fuzzy moment descriptors are estimated using t...
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Chapter and Conference Paper
A Comparative Analysis of Emotion Recognition from Stimulated EEG Signals
This paper proposes a scheme to utilize the unaltered direct outcome of brain’s activity viz. EEG signals for emotion detection that is a prerequisite for the development of an emotionally intelligent system. ...
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Chapter and Conference Paper
Detection of Fast and Slow Hand Movements from Motor Imagery EEG Signals
Classification of Electroencephalography (EEG) signal is an open area of re-search in Brain-computer interfacing (BCI). The classifiers detect the different mental states generated by a subject to control an e...
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Chapter and Conference Paper
Choice of Implication Functions to Reduce Uncertainty in Interval Type-2 Fuzzy Inferences
Selection of implication function is a well-known problem in Type-1 fuzzy reasoning. Several comparison of type-1 implications have been reported using set of (nine) standard axioms. This paper attempts to sel...
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Chapter and Conference Paper
Facial Expression Synthesis for a Desired Degree of Emotion Using Fuzzy Abduction
Modulating facial expression of a subject to exhibit emotional content is an interesting subject of current research in Human-Computer Interactions. The ultimate aim of this research is to exhibit the emotion-...
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Chapter and Conference Paper
Neural Network Based Gesture Recognition for Elderly Health Care Using Kinect Sensor
A simple method to detect gestures revealing muscle and joint pain is described in this paper. Kinect Sensor is used for data acquisition. This sensor only processes twenty joint coordinates in three dimension...
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Chapter and Conference Paper
The Role of Empirical Mode Decomposition on Emotion Classification Using Stimulated EEG Signals
An efficient scheme of emotion recognition using EEG signals is an initiation to our quest for develo** emotionally intelligent systems and devices, in order to enhance the performance quality of the same. C...
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Chapter and Conference Paper
Feature Selection of Motor Imagery EEG Signals Using Firefly Temporal Difference Q-Learning and Support Vector Machine
Electroencephalograph (EEG) based Brain-computer Inter- face (BCI) research provides a non-muscular communication to drive assistive devices using movement related signals, generated from the motor activation ...
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Chapter and Conference Paper
Electro-oculogram Based Classification of Eye Movement Direction
In this paper, the direction of eye movement is detected from Electro-oculographic signal using different types of support vector machine classifier. Here, a data acquisition system is designed to collect stim...
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Chapter and Conference Paper
An Evolutionary Approach for Analysing the Effect of Interaction Site Structural Features on Protein- Protein Complex Formation
Protein-protein complexes that dissociate and associate readily,often depending on the physiological condition or environment,play an important role in many biological processes.The impact of the features resp...
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Chapter and Conference Paper
Artificial Bee Colony Based Feature Selection for Motor Imagery EEG Data
Brain-computer Interface (BCI) has widespread use in Neuro-rehabilitation engineering. Electroencephalograph (EEG) based BCI research aims to decode the various movement related data generated from the motor a...
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Chapter and Conference Paper
Object Shape Recognition from EEG Signals during Tactile and Visual Exploration
Humans understand the world around us by visual and tactile exploration of the objects. The objective of this paper is to recognize the object-shapes from EEG signals while the subjects are exploring the same ...
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Chapter and Conference Paper
Performance Analysis of Multiclass Common Spatial Patterns in Brain-Computer Interface
Brain-Computer Interfacing (BCI) aims to assist, enhance, or repair human cognitive or sensory-motor functions. The classification of EEG signals plays a crucial role in BCI implementation. In this paper we ha...
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Chapter and Conference Paper
Emotion Recognition System by Gesture Analysis Using Fuzzy Sets
Gestures have been called the leaky source of emotional information. Also gestures are easy to retrieve from a distance by ordinary cameras. Thus as many would agree gestures become an important clue to the em...
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Chapter and Conference Paper
Protein Function Prediction Using Adaptive Swarm Based Algorithm
The center of attention of the research in bioinformatics has been towards understanding the biological mechanisms and protein functions. Recently high throughput experimental methods have provided many protei...
