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  1. No Access

    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...

    Amit Konar, Sriparna Saha in Gesture Recognition (2018)

  2. No Access

    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...

    Monalisa Pal, Sriparna Saha, Amit Konar in Progress in Intelligent Computing Techniqu… (2018)

  3. No Access

    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...

    Amit Konar, Sriparna Saha in Gesture Recognition (2018)

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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...

    Sriparna Saha, Saurav Bhattacharya in Progress in Intelligent Computing Techniqu… (2018)

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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 ...

    Amit Konar, Sriparna Saha in Gesture Recognition (2018)

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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...

    Sriparna Saha, Biswarup Ganguly, Amit Konar in Progress in Intelligent Computing Techniqu… (2018)

  7. No Access

    Chapter

    Conclusions and Future Directions

    This chapter provides a self-review of the book and outlines the future direction of possible research in the broad spectrum of emotion recognition. It reexamines the justification of the proposed techniques a...

    Pratyusha Rakshit, Amit Konar in Principles in Noisy Optimization (2018)

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    Chapter

    Radon Transform Based Automatic Posture Recognition in Ballet Dance

    The proposed system aims at automatic identification of an unknown dance posture referring to the twenty primitive postures of ballet, simultaneously measuring the proximity of an unknown dance posture to a kn...

    Amit Konar, Sriparna Saha in Gesture Recognition (2018)

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    Chapter

    Probabilistic Neural Network Based Dance Gesture Recognition

    With the growing interest in the domain of these days, budding research professionals are coming up with novel ideas of develo** more versatile and flexible modes of communication between a man and a machi...

    Amit Konar, Sriparna Saha in Gesture Recognition (2018)

  10. No Access

    Chapter

    EEG-Gesture Based Artificial Limb Movement for Rehabilitative Applications

    Due to damage in parietal and/or regions of a patient (subject), there can be failure while performing day-to-day basic task. Thus this chapter focuses on directing an based on brain signals and body ges...

    Amit Konar, Sriparna Saha in Gesture Recognition (2018)

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    Chapter

    Agents and Multi-agent Coordination

    An intelligent agent is an entity that performs its task in a given environment by exploiting the knowledge acquired from its interaction with the environment during problem-solving process. Over the past two ...

    Pratyusha Rakshit, Amit Konar in Principles in Noisy Optimization (2018)

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    Chapter

    Learning Automata and Niching-Induced Noisy Optimization for Multi-robot Path-Planning

    The chapter proposes an extension of the traditional differential evolution (DE) algorithm to handle the effect of noise in the objective surface. The proposed extension offers four merits with respect to its ...

    Pratyusha Rakshit, Amit Konar in Principles in Noisy Optimization (2018)

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    Chapter

    Enhancing Noise-Tolerant Behavior of Traditional Evolutionary and Swarm Algorithms

    In the last two chapters, noise handling strategies are proposed to extend the traditional differential evolution (DE), in both single- and multi-objective optimization settings, to proficiently track global o...

    Pratyusha Rakshit, Amit Konar in Principles in Noisy Optimization (2018)

  14. No Access

    Chapter

    Introduction

    The chapter provides an introduction to gesture recognition. It begins with a thorough review of the principles of gesture recognition undertaken in the existing works. The chapter then elaborately introduces ...

    Amit Konar, Sriparna Saha in Gesture Recognition (2018)

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    Chapter

    Fuzzy Image Matching Based Posture Recognition in Ballet Dance

    This chapter provides a fuzzy logic based approach to posture recognition in Ballet dance. The initial section of the chapter deals with a brief introduction to and its characteristics, while the later part ...

    Amit Konar, Sriparna Saha in Gesture Recognition (2018)

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    Chapter

    Type-2 Fuzzy Classifier Based Pathological Disorder Recognition

    Gestures of a person symbolizing analogous pathological are not always exclusive. Naturally, the gestural features of a subject suffering from the same disorder vary widely over different instances. In pre...

    Amit Konar, Sriparna Saha in Gesture Recognition (2018)

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    Chapter

    Foundation in Evolutionary Optimization

    Evolutionary algorithms (EAs) have witnessed a radically divergent perspective regarding their potential to optimize complex real-world non-differentiable numerical functions. Since its foundation in 1973, res...

    Pratyusha Rakshit, Amit Konar in Principles in Noisy Optimization (2018)

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    Chapter

    Recent Advances in Evolutionary Optimization in Noisy Environment—A Comprehensive Survey

    Noisy optimization is currently receiving increasing popularity for its widespread applications in engineering optimization problems, where the objective functions are often found to be contaminated with noisy...

    Pratyusha Rakshit, Amit Konar in Principles in Noisy Optimization (2018)

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    Chapter

    Noisy Multi-objective Optimization for Multi-robot Box-Pushing Application

    The chapter proposes an extension of multi-objective optimization realized with differential evolution algorithm to handle the effect of noise in objective functions. The proposed extension offers four merits ...

    Pratyusha Rakshit, Amit Konar in Principles in Noisy Optimization (2018)

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    Book

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