Gesture Recognition
Principles, Techniques and Applications
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76 Result(s)
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Amit Konar
Engineering
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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
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
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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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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Book
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Chapter
Gesture Driven Fuzzy Interface System for Car Racing Game
The recently developed Kinect sensor has opened a new horizon to Human-Computer Interface and its native connection with Microsoft’s product line of Xbox 360 and Xbox One video game consoles makes completely h...
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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
Differential Evolution Based Dance Composition
In this chapter, we propose a novel approach in which a system autonomously composes dance sequences from previously taught dance moves with the help of the well-known differential evolution algorithm. In this...
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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
Conclusions and Future Directions
This chapter provides a thorough review of the principles and concepts narrated in the book, highlighting significant results and conclusions arrived at earlier. In other words, the chapter combines important ...
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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...
