Gesture Recognition
Principles, Techniques and Applications
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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
A Generative Model Based Approach for Zero-Shot Breast Cancer Segmentation Explaining Pixels’ Contribution to the Model’s Prediction
has extensively helped us to analyze complicated distributions of data and extract meaningful information from the same. But the fundamental problem still remains—what if there is no or rare occurrence of any...
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Chapter
Multi-resolution Hierarchical Clustering by Vector Quantization
Clustering aims at grou** of objects or data-points based on a certain measure of similarity. Existing clustering algorithms estimate the measure of similarity of expected data-points to fall in a cluster wi...
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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
Decision Tree Based Single Person Gesture Recognition
This chapter is aimed at gesture recognition using the Kinect sensor. The Kinect sensor generates the human skeleton with twenty different 3-dimensional coordinates corresponding to twenty body joints. The pre...
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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
Modified Type-2 Fuzzy Gesture Space Induced Physical Disorder Recognition
Gestures of a person symbolizing analogous physical disorder are not always exclusive. The gestural features of a subject suffering from the same physical disorder exhibit wide deviations for different instanc...
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Article
Triangular membership function based real-time gesture monitoring system for physical disorder detection
A novel approach to distinguish 25 body gestures enlightening physical disorders in young and elder individuals is explained using the proposed system. Here a well-known human sensing device, Kinect sensor is ...
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Article
Uncertainty Management by Feature Space Tuning for Single-Trial P300 Detection
The P300 is a widely studied event-related potential, which allows non-muscular communication. In P300 induced brain–computer interfacing, one often comes across the challenge of modeling uncertainties due to ...
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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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Article
Self-adaptive type-1/type-2 hybrid fuzzy reasoning techniques for two-factored stock index time-series prediction
Considerable research outcomes on stock index time-series prediction using classical (type-1) fuzzy sets are available in the literature. However, type-1 fuzzy sets cannot fully capture the uncertainty involve...
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