Gesture Recognition
Principles, Techniques and Applications
Chapter and Conference Paper
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...
Chapter and Conference Paper
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...
Chapter
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...
Chapter
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...
Chapter and Conference Paper
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 ...
Chapter
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...
Chapter and Conference Paper
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...
Chapter and Conference Paper
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...
Chapter and Conference Paper
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 ...
Chapter
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...
Article
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 ...
Chapter and Conference Paper
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...
Chapter and Conference Paper
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...
Article
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...
Book
Chapter
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...
Chapter and Conference Paper
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...
Chapter
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...
Chapter and Conference Paper
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...
Chapter
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 ...