54 Result(s)
within
Conference Paper
Amit Konar
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Chapter and Conference Paper
Error-Induced Brain-Actuated Motor Command Generation for Speed-Profile Setting in a 2-Loop Position Control of a Robot Arm
Traditional BCI-based position control schemes utilize acquired motor-imagery signals of the subject for motor actuation and error-related potential signals to detect positional overshoots. The positional over...
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Chapter and Conference Paper
Uncertainty Management in Brain Data for Olfactory Perceptual-Ability Assessment of Human Subjects by General Type-2 Fuzzy Reasoning
The paper introduces an interesting approach in assessing olfactory perceptual-ability and its gradual degradation over months for both healthy persons and people suffering from early olfactory ailments. Funct...
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Chapter and Conference Paper
Brain–Computer Interface for Fuzzy Position Control of a Robot Arm by Mentally Detected Magnitude and Sign of Positional Error
The paper addresses a novel approach to position control of a robot arm by utilizing three important brain signals, acquired with the help of an EEG interface. First, motor imagery signal is employed to activa...
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Chapter and Conference Paper
TSK-Based Type-2 Fuzzy Analysis of Infrared Spectroscopic Data for Classification of Touch-Induced Affection
The paper introduces a novel approach to categorize the hemodynamic response of subjects due to arousal of touch induced affection classes such as Respect, Love, Fondness and Devotion using a TSK-based Type-2 ...
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Chapter and Conference Paper
Brain-Connectivity Analysis to Differentiate Phasmophobic and Non-phasmophobic: An EEG Study
Brain-connectivity refers to a pattern of functional or effective connectivity of distinct modules of human brain due to interactions between them. In this paper, the authors have attempted to conduct a brain ...
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Chapter and Conference Paper
Brain Connectivity Analysis in Color Perception Problem Using Convergent Cross Map** Technique
The to determine the brain connectivity among different brain regions/lobes during subjective perception. Traditionally, Granger causality analysis is employed to handle the problem. However, due to ...
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Chapter and Conference Paper
Electrophysiological Studies on Acetylcholine–Dopamine Interaction and Effect of Dopamine on Learning
This paper proposes a non-invasive approach for improving learning ability in humans by the administration of glucose which leads to an increase in Dopamine concentration in the synaptic cleft, thereby bringin...
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Chapter and Conference Paper
Finger-Induced Motor Imagery Classification from Hemodynamic Response Using Type-2 Fuzzy Sets
Recent advances in brain–computer interface (BCI) and advanced computational algorithms make us capable of classifying different human on their corresponding noninvasive brain signals. Although there exi...
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Chapter and Conference Paper
EEG-Induced Error Correction in Path Planning by a Mobile Robot Using Learning Automata
The paper makes an honest attempt to amalgamate two interesting open issues of path planning of mobile robots, such as learning automata-based planning and human in a loop using brain–computer interfaces. The ...
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Chapter and Conference Paper
Fuzzy Posture Matching for Pain Recovery Using Yoga
Owing to the present sedentary lifestyle, most of the office employees suffer from pain at different body parts and in turn they need to consult with doctors frequently. The doctors prescribe certain exercises...
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Chapter and Conference Paper
Quantitative Analysis of Cognitive Load Test While Driving in a VR vs Non-VR Environment
Brain-Computer Interface (BCI) based cognitive load assessment has been a topic of significant research for quite some time, especially that considering a driving scenario. And as methods for human-computer in...
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Chapter and Conference Paper
A Dynamical Phase Synchronization Based Approach to Study the Effects of Long-Term Alcoholism on Functional Connectivity Dynamics
The paper attempts to investigate the changes in the brain network dynamics between alcoholic and non-alcoholic groups using electroencephalographic signals. A novel entropy-based technique is proposed in this...
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Chapter and Conference Paper
Probability-Induced Distance-Based Gesture Matching for Health care Using Microsoft’s Kinect Sensor
Detection of 14 healthcare-related gestures due to pain at different body parts is the target area of this work using Kinect sensor. The novelty of our work lies in suppressing the problem of compensation by t...
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Chapter and Conference Paper
A Novel Approach to Gesture Recognition in Sign Language Applications Using AVL Tree and SVM
Body gesture is the most important way of non-verbal communication for deaf and dumb people. Thus, a novel sign language recognition procedure is presented here where the movements of hands play a pivotal role...
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Chapter and Conference Paper
Gesture Recognition from Two-Person Interactions Using Ensemble Decision Tree
The evolution of depth sensors has furnished a new horizon for human–computer interaction. An efficient two-person interaction detection system is proposed for an improved human−computer interaction using Kine...
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Chapter and Conference Paper
Music-Induced Emotion Classification from the Prefrontal Hemodynamics
Most of the traditional works on emotion recognition utilize manifestation of emotion in face, voice, gesture/posture and bio-potential signals of the subjects. However, these modalities of emotion recognition...
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Chapter and Conference Paper
Ensemble Classifier-Based Physical Disorder Recognition System Using Kinect Sensor
Gestures symbolizing body pain is a major challenging area in today’s world. We have presented a system here using Microsoft’s Kinect sensor for physical disorder recognition. Kinect sensor using its proprieta...
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Chapter and Conference Paper
Automatic Gesture Recognition for Health Care Using ReliefF and Fuzzy kNN
This work describes a simple method to detect gestures revealing muscle and joint pain. The data is acquired using Kinect Sensor. For the purpose of feature extraction, the twenty joint coordinates are process...
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Chapter and Conference Paper
Performance Analysis of Feature Extractors for Object Recognition from EEG Signals
Recognition of objects from EEG signals requires selection of appropriate feature extraction and classification techniques with best efficiency in terms of highest classification accuracy with lowest run time ...
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Chapter and Conference Paper
Single Person Hand Gesture Recognition Using Support Vector Machine
A simple and easy-to-use system is designed for recognition of single person gestures using their movement of hands while expressing feelings. Here Kinect sensor is employed to generate the 20 body joint coord...
