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Chapter
Conclusions
This is the concluding chapter of the book. It self-reviews the book and examines the possible scope of future research in the research arena covering time-series .
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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
Self-adaptive Interval Type-2 Fuzzy Set Induced Stock Index Prediction
This chapter introduces an alternative approach to time-series prediction for stock index data using Interval Type-2 Fuzzy Sets. The work differs from the existing research on time-series prediction by the fol...
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Chapter
Learning Structures in an Economic Time-Series for Forecasting Applications
The chapter introduces a approach to knowledge from a by incorporating three fundamental steps. The first step deals with of the time-series into of length with distinguishable characteristics from...
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Chapter
An Introduction to Time-Series Prediction
This chapter provides an introduction to time-series prediction. It begins with a formal definition of time-series and gradually explores possible hindrances in predicting a time-series. These hindrances add u...
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Chapter
Handling Main and Secondary Factors in the Antecedent for Type-2 Fuzzy Stock Prediction
Traditional fuzzy logic based approaches to prediction of stock index time-series utilize the reasoning mechanisms of type-1 fuzzy sets. The predictions undertaken thereby occasionally suffer from representati...
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Chapter
Grou** of First-Order Transition Rules for Time-Series Prediction by Fuzzy-Induced Neural Regression
In this chapter, we present a scheme of rules obtained from a for fuzzy-induced . The here represent relationships between a pair of partitions containing consecutive in the time-series. In this...
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Article
Texture- and deformability-based surface recognition by tactile image analysis
Deformability and texture are two unique object characteristics which are essential for appropriate surface recognition by tactile exploration. Tactile sensation is required to be incorporated in artificial a...
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Article
Vibrotactile feedback for conveying object shape information as perceived by artificial sensing of robotic arm
This work is a preliminary study towards develo** an alternative communication channel for conveying shape information to aid in recognition of items when tactile perception is hindered. Tactile data, acquir...
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Article
Non-dominated Sorting Bee Colony optimization in the presence of noise
The paper incorporates new extensional strategies into the traditional multi-objective optimization algorithms to proficiently obtain the Pareto-optimal solutions in the presence of noise in the fitness landsc...
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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
Dance Composition Using Microsoft Kinect
In this work, 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. Initially,...
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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...
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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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Article
Motor imagery, P300 and error-related EEG-based robot arm movement control for rehabilitation purpose
The paper proposes a novel approach toward EEG-driven position control of a robot arm by utilizing motor imagery, P300 and error-related potentials (ErRP) to align the robot arm with desired target position. ...
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Article
Object-shape recognition and 3D reconstruction from tactile sensor images
This article presents a novel approach of edged and edgeless object-shape recognition and 3D reconstruction from gradient-based analysis of tactile images. We recognize an object’s shape by visualizing a surf...
