Intelligent Human Computer Interaction: 11th International Conference, IHCI 2019, Allahabad, India, December 12–14, 2019, Proceedings (Information ... Applications, incl. Internet/Web, and HCI)

This volume constitutes the proceedings of the 11th International Conference on Intelligent Human Computer Interaction, IHCI 2019, held in Allahabad, India, in December 2019. The 25 full papers presented in this volume were carefully reviewed and selected from 73 submissions. The papers are grouped in the following topics: EEG and other biological signal based interactions; natural language, speech and dialogue processing; vision based interactions; assistive living and rehabilitation; and applications of HCI. Preface Organization Contents EEG and Other Biological Signal Based Interactions Classification of Motor Imagery EEG Signal for Navigation of Brain Controlled Drones 1 Introduction 2 Related Work 3 Proposed Method 3.1 Data Description 3.2 Data Pre-processing 3.3 Data Augmentation 3.4 Classification 4 Results and Discussion 5 Inferencing on Jetson TX2 Platform 6 Conclusion References Monitoring Post-stroke Motor Rehabilitation Using EEG Analysis 1 Introduction 2 Materials and Methods 2.1 Patients 2.2 Experimental Protocol 2.3 EEG Recordings 2.4 EEG Data Analysis 2.5 Statistical Analysis 3 Results and Discussion 4 Conclusion References Wavelet Transform Selection Method for Biological Signal Treatment 1 Introduction 2 Theoretical Framework 3 Methodology 4 Results 5 Conclusions References Fuzzy Inference System for Classification of Electroencephalographic (EEG) Data 1 Introduction 1.1 Epilepsy and the EEG Signals 1.2 Statistical Analysis of the EEG Signals 1.3 Fuzzy Inference System 2 Review of Literature 3 Methodology 3.1 Dataset Description 3.2 Statistical Analysis of EEG Signals 3.3 Design and Implementation of Fuzzy Inference System 4 Results and Discussion 5 Conclusion and Future Scope 5.1 Conclusion 5.2 Future Scope References Empirical Mode Decomposition Algorithms for Classification of Single-Channel EEG Manifesting McGurk Effect 1 Introduction 2 Data and Pre-processing 3 Methodology 3.1 Algorithm I 3.2 Algorithm II 3.3 Algorithm III 3.4 Algorithm IV 4 Results 4.1 Most Informative Frequency Band 5 Conclusion References Natural Language, Speech and Dialogue Processing Abstractive Text Summarization Using Enhanced Attention Model 1 Introduction 2 Preliminaries 2.1 Attention Model 2.2 Attention Model for Machine Translation 2.3 Using a Feature-Rich Encoder 2.4 Modeling on Unseen/Rare Keywords Using Switching Generator-Pointer 3 Proposed Approach 3.1 Generalized Sequence-to-Sequence Model 3.2 Preprocessing of Documents 3.3 Architecture of the Proposed Models 4 Experimental Results 4.1 CNN/DailyMail Corpus 4.2 Experimental Setup and Model Parameters 4.3 Comparison Analysis with the Competitive Models 4.4 Discussion 5 Conclusion References Highlighted Word Encoding for Abstractive Text Summarization 1 Introduction 2 Related Work 3 Background 3.1 Highlighting: Recognizing the Salient Information 3.2 Extraction: Recording the Salient Information 3.3 Abstraction: Writing from the Memory 4 Model: Word-Level Highlighter-Generator Network 4.1 Algorithm for Highlighting and Extracting Terms 5 Experiments and Results 5.1 Dataset 5.2 Experimental Setup 5.3 Evaluation Metric 5.4 Results 6 Conclusion and Future Work References Detection of Hate and Offensive Speech in Text 1 Introduction 2 Related Work 3 Experiments 3.1 Detecting Hate Using Conventional Machine Learning Methods 3.2 Detecting Hate and Offensive Speech Using Deep Learning 4 Conclusion References Deep Learning for Hindi Text Classification: A Comparison 1 Introduction 2 Related Work 3 Datasets 4 Model Architectures 5 Results and Discussion 6 Conclusion References A Stacked Ensemble Approach to Bengali Sentiment Analysis 1 Introduction 2 Proposed Methodology 2.1 Data Cleaning 2.2 Features and Base Classifiers 2.3 Model Development and Sentiment Classification 3 Evaluation and Experimental Results 3.1 Experiments and Results 4 Conclusion and Future Work References Computing with Words Through Interval Type-2 Fuzzy Sets for Decision Making Environment 1 Introduction 2 Interval Type-2 Fuzzy Set 3 Methodology and Experiment 4 Results and Discussion References RNN Based Language Generation Models for a Hindi Dialogue System 1 Introduction 2 RNNLG Models 2.1 Heuristically-Gated Model (H-LSTM) 2.2 Modified-Semantically-Controlled Model (MSC-LSTM) 2.3 Attention-Based Encoder-Decoder (ENC-DEC) 3 Experiments 4 Results and Analysis 5 Conclusion References Bengali Handwritten Character Classification Using Transfer Learning on Deep Convolutional Network 1 Introduction 2 Methodology 2.1 Architecture 2.2 Batch Normalization 2.3 Dropout 2.4 Learning Rate and Optimizers 2.5 BanglaLekha-Isolated Dataset 2.6 Training Steps 3 Results and Discussion 4 Conclusion References Vision Based Interactions Predicting Body Size Using Mirror Selfies 1 Introduction 2 Related Work 2.1 2-D Image-Based Prediction System 2.2 Predicting Measurements from 3-D Human Scan 3 Approach 3.1 Data Collection 3.2 Prediction Model 4 Results 5 Conclusion and Future Work 5.1 Conclusion 5.2 Limitations and Future Work References Retinal Vessel Classification Using the Non-local Retinex Method 1 Introduction 2 Literature Review 3 Proposed Methodology 3.1 Non-Local Total Variational Retinex 3.2 Segmentation and Feature Extraction 4 Results and Discussion 5 Conclusion References Rule Generation of Cataract Patient Data Using Random Forest Algorithm 1 Introduction 2 Literature Review 3 Data Collection and Research Instrument 4 Importance of Attributes 5 OOB Estimation Error 6 Analysis and Discussions 7 Conclusion References Yawn Detection for Driver’s Drowsiness Prediction Using Bi-Directional LSTM with CNN Features 1 Introduction 2 Proposed Method 2.1 Mouth Region Extractor 2.2 Deep Feature Extractor 2.3 Yawn Detector 3 Experimental Results and Discussions 3.1 Dataset Preparation 3.2 Model Training and Results 4 Conclusion References Assistive Living and Rehabilitation Robotic Intervention for Elderly - A Rehabilitation Aid for Better Living 1 Introduction 2 Upper Limb Anatomy 3 Lower Limb Anatomy 4 Mechanical Design 5 Technological Innovations 6 Conclusion References ccaROS: A ROS Node for Cognitive Collaborative Architecture for an Intelligent Wheelchair 1 Introduction 2 CcaROS: A ROS Node for CCA 2.1 Autonomous Control Within CCA 2.2 CCA Within ROS-USARSim 3 Experiments and Results 4 Conclusion References IoT Monitoring of Water Consumption for Irrigation Systems Using SEMMA Methodology 1 Introduction 2 Review of Related Work 2.1 Interests on Improve Water Consumption for Irrigation Systems 2.2 IoT Applications on Irrigation Systems in Agriculture 2.3 Water Consumption Data Mining Analysis 3 Materials and Methods 3.1 Description of Situation 3.2 IoT Monitoring of Water Consumption for Irrigation Systems 3.3 Irrigation Water Consumption Data Analysis 4 Results and Discussions 5 Conclusions References Applications of HCI Extracting Community Structure in Multi-relational Network via DeepWalk and Consensus Clustering 1 Introduction 2 Related Work 3 Proposed Framework for Community Detection 3.1 Problem Definition 3.2 Proposed Approach 4 Empirical Evaluation 4.1 Dataset Description and Evaluation Metrics 4.2 Experimental Setup and Results 5 Conclusion and Future Direction References Virtual-Reality Training Under Varying Degrees of Task Difficulty in a Complex Search-and-Shoot Scenario 1 Introduction 2 Background 3 Materials and Methods 3.1 Participants 3.2 The Search-and-Shoot Simulation 3.3 Procedure 3.4 Experimental Design 3.5 The Variation in Task Complexity 4 Results 4.1 Effects of Professional Training 4.2 Effects of Novice Training 4.3 Inter-training Comparisons 5 Discussion 6 Conclusion References Glyph Reader App: Multisensory Stimulation Through ICT to Intervene Literacy Disorders in the Classroom 1 Introduction 2 Brief Review of Literature 3 Methodology 3.1 Population and Sampling 3.2 Instruments 4 Applications Features 5 Results 6 Conclusions References Cyclon Language First Grade App: Technological Platform to Support the Construction of Citizen and Democratic Culture of Science, Technology and Innovation in Children and Youth Groups 1 Introduction 2 Pedagogies Focused on Research 3 Brief Review of Literature 4 Methodology 4.1 Population and Sampling 5 Applications Features 6 Results and Conclusions References Quadrotor Modeling and a PID Control Approach 1 Introduction 2 Reference Frames 3 Quadrotor System Variables 3.1 Mathematical Model 4 Control Model of a Quadrotor 5 Simplified Control Model 5.1 Control Laws for Attitude and Altitude 5.2 Transfer Functions 6 PID Controller Computation 7 Results 8 Conclusions References Correction to: Quadrotor Modeling and a PID Control Approach Correction to: Chapter “Quadrotor Modeling and a PID Control Approach” in: U. S. Tiwary and S. Chaudhury (Eds.): Intelligent Human Computer Interaction, LNCS 11886, https://doi.org/10.1007/978-3-030-44689-5_25 Author Index