Intelligent Human Computer Interaction: 13th International Conference, IHCI 2021, Kent, OH, USA, December 20–22, 2021, Revised Selected Papers (Lecture Notes in Computer Science)

This volume constitutes the refereed proceedings of the 13 th International Conference on Intelligent Human Computer Interaction, IHCI 2021, which took place in Kent, OH, USA, in December 2021. The 59 full and 9 short papers included in these proceedings were carefully reviewed and selected from a total of 142 submissions. The papers were organized in topical sections named human centered AI; and intelligent interaction and cognitive computing Preface Organization Contents I Human Centered AI Machine Learning Techniques for Grading of PowerPoint Slides 1 Introduction 2 Challenges in Grading Students' Presentations 3 Methodology 3.1 System Architecture 4 Data Collection 5 Feature Identification and Selection 6 Model Development 6.1 Classifier Algorithms 6.2 Implementation 7 Model Evaluation 8 Conclusion and Future Work References Textual Description Generation for Visual Content Using Neural Networks 1 Introduction 1.1 Overview 1.2 Motivation 1.3 Related Work 1.4 Problem Statement 2 Methodology 2.1 Model Architecture 3 Experimental Results 4 Application 5 Conclusion 6 Future Work References Using LSTM Models on Accelerometer Data to Improve Accuracy of Tap Strap 2 Wearable Keyboard 1 Introduction 2 Related Work 2.1 Recurrent Neural Networks in Sequence to Sequence Mapping and Spelling Correction 2.2 Recurrent Neural Networks in Human Activity Recognition 3 Experimental Setup 3.1 Obtaining and Processing the Sensors Data 3.2 Standard LSTM-RNN Model 3.3 CNN-LSTM Model 3.4 Convolutional LSTM Model 4 Experimental Results 5 Conclusions and Future Work References Electronic Dictionary and Translator of Bilingual Turkish Languages 1 Introduction References Facial Recognition Technologies: A Survey and Comparison of Systems and Practical Applications 1 Introduction 2 Related Work 3 Analysis of Technologies 3.1 Overview 3.2 Facial Geometry and Eigenfaces 3.3 Neural Networks 3.4 Thermal 4 Results 4.1 Facial Geometry and Neural Networks 4.2 Layered and Non-layered Filtering Systems 4.3 Applications of Advanced Filtering Systems 4.4 Thermal 5 Conclusion References Technological Evaluation of Virtual and Augmented Reality to Impart Social Skills 1 Introduction 2 Social Skills Expected from Engineers 2.1 Social Skills 2.2 Cognitive-Social Skills 3 Augmented Reality and Virtual Reality 4 Existing Approaches to Impart Social Skills 5 AR and VR Based Approaches to Impart Social Skills 6 Conclusion References Deep Convolutional Neural Network Approach for Classification of Poems 1 Classification 2 Literature Survey 3 Classification of Poems Using Deep Learning 3.1 Convolutional Neural Network Approach 4 Conclusion References Three Decision Points Vetting a More Ideal Online Technical Platform for Monitoring and Treating Mental Health Problems like Depression and Schizophrenia 1 Introduction 2 How Should We Help Them? Analysis of the Current Market of Mobile Applications in Mental Health 2.1 Three Important Concepts for Planning Online Platforms in Monitoring and Treatment of Mental Problems: SaMD, EMA, and EMI 2.2 Surveyed List of Tactics on Online Platforms for Mental Problems of Depression and Schizophrenia 3 Overall Recommendations 4 Conclusion Appendices References Touching Minds: Deep Generative Models Composing the Digital Contents to Practice Mindfulness 1 Introduction 2 Experimental Settings 2.1 The Deep Generative Model for Building Mindfulness Scripts 2.2 The Voice Synthesis Model for Building Self-talk 3 Results 3.1 Mindfulness Scripts Generator 3.2 Voice Synthesizer for Self-talk 4 Discussion 5 Conclusion References Remote Monitoring of Disability: A Case Study of Mobility Aid in Rohingya Camp 1 Introduction 2 Challenges Within Refugee Camps: Terrain, Safety, and Medical Needs 3 Mobility Aid Project 4 Remote Monitoring 5 Conclusions References AI Based Convenient Evaluation Software for Rehabilitation Therapy for Finger Tapping Test 1 Background 2 Method 2.1 Program Design 2.2 Subjects 3 Results 3.1 Developed AI-Motion Software 3.2 Preliminary Human Study References A Smart Wearable Fall Detection System for Firefighters Using V-RNN 1 Introduction 2 Demonstration 2.1 System Overview 2.2 Fall Detection Algorithm 2.3 Results 3 Conclusion and Future Work References CycleGAN Based Motion Artifact Cancellation for Photoplethysmography Wearable Device 1 Introduction 2 Experimental Protocol 3 CycleGAN Model for Canceling Motion Artifacts 4 Results 5 Conclusion References Effect of Time Window Size for Converting Frequency Domain in Real-Time Remote Photoplethysmography Extraction 1 Introduction 2 Methods 3 Results 4 Conclusion References Development of Application Usability Evaluation Scale for Seniors 1 Introduction 2 Senior User 2.1 Senior User’s Definition and Context 2.2 Usability of Application for Senior 3 Methodology 3.1 Procedure 3.2 Collecting Usability Evaluation Factors 3.3 Primary Factors Extraction 3.4 Secondary Factors Extraction 3.5 Developing Usability Evaluation Factors 4 Results 4.1 Means and Standard Deviations of Items 4.2 Exploratory Factor Analysis 4.3 Confirmatory Factor Analysis 4.4 Nomological Validity Test 5 Discussion and Conclusion References Analysis of the Utilization of Telehealth Worldwide and the Requisites for Its Effective Adoption 1 Introduction 1.1 A Subsection Sample 2 Previous Work and Existing Studies 2.1 How Increased Use of Telehealth Benefited Seniors 2.2 Challenges that Telehealth Services Face 3 Research Question 3.1 Reason Behind the Research Question 4 Methodology 4.1 Interviews 4.2 Surveys 5 Results 5.1 Protection of Patient Privacy and Data Security 5.2 Visibility and Readability of User Interactions 5.3 Credibility of the Online Environment 6 Implications 6.1 Data Security 6.2 Interface 6.3 Credibility 7 Conclusion References Intelligent Interaction and Cognitive Computing Cognition Prediction Model for MOOCs Learners Based on ANN 1 Introduction 2 Earlier Approach 3 Overview of the Model 3.1 Proposed Algorithm 3.2 ANN-Based Confusion Prediction Model 4 Model Development 4.1 Dataset Description 4.2 Parameters for Measuring Performance 4.3 Results and Observations 5 Conclusion References A Novel Methodology for Assessing and Modeling Manufacturing Processes: A Case Study for the Metallurgical Industry 1 Introduction 2 Theoretical Fundamentals 3 Conceptual Model Development 3.1 Delimitation of the Model and Methodological Approach 3.2 Identification of Areas and Flows that Have an Influence on the Manufacturing Process 3.3 Classification of Manufacturing Process Areas 3.4 Factors and Parameters in Each Area of the Manufacturing Process 3.5 Development of the Conceptual Framework for a Generic Manufacturing Process 3.6 Interrelationships and Casual Loop Diagrams (CLDs) 4 Manufacturing Process Case Study 4.1 Design of the Case Study for a Metallurgical Process 4.2 Key Performance Indicators (KPIs) for the Case Study 4.3 Simulation Logic for Assessing the Manufacturing Process 4.4 Simulation Models 4.5 Simulation Results 5 Discussion 6 Conclusions and Future Outlook References Research of the Deep Learning Model for Denoising of ECG Signal and Classification of Arrhythmias 1 Introduction 2 Proposed Multiple DL Model Process 2.1 Data Set for Model Training 2.2 DL Model Configuration and Hyper Parameter Information 3 Experiments and Results 4 Conclusion References XRTI: eXtended Reality Based Telepresence Interface for Multiple Robot Supervision 1 Introduction 2 Literature Review 3 Motivation 4 System Design Description 4.1 Design Concept 4.2 Design Requirements 4.3 Design Motivation 5 Concept of Operations (CONOPS) 6 Implementation Considerations and Constraints 7 Discussion 8 Conclusion and Future Work References Validating Pre-requisite Dependencies Through Student Response Analysis 1 Introduction 2 Literature Survey 3 Research Problem 4 Dataset 5 Skill Table 5.1 Dependencies Between Question Items 6 Validating prerequisite dependencies 7 Limitation and Threats to Validity 8 Conclusion and Future Work References Pneumonia Classification Using Few-Shot Learning with Visual Explanations 1 Introduction 2 Related Work 3 Method 3.1 Model 3.2 Implementation Details 4 Experiments and Results 4.1 Dataset 4.2 Parameter Selection 4.3 Comparative Analysis 4.4 Results 4.5 Visual Explanations 5 Conclusion and Future Work References User Experience Design for Defense Systems with AI 1 Background and Introduction 2 Method 2.1 Development of AI UX Principles 2.2 Ideation 2.3 Prototyping 3 Results 3.1 AI UX Design Principles 3.2 Ideation 3.3 Prototyping 4 Conclusion References Multilayer Tag Extraction for Music Recommendation Systems 1 Introduction 2 Related Works 3 Proposed System 3.1 Data Preprocessing Phase 3.2 Tag Extraction Using Sentiment Analysis 3.3 Tagging Extraction Based on Audio Features 4 Conclusion 5 Future Work References Interactive Visualization and Capture of Geo-Coded Multimedia Data on Mobile Devices 1 Introduction 2 Related Work 3 Data Capture and AI-Based Processing 3.1 Data Capture 3.2 Video Processing and Image Segmentation 3.3 Geo-narratives and Speech Transcription 4 Mobile Based Visualization 4.1 Multi-type Data and Visualization Tasks 4.2 Mobile-Based Visualization Design 4.3 Trip Manager 4.4 Map View with Data Cues 4.5 Visual Information View 4.6 Geo-narrative View 5 Use Scenarios 5.1 Case 1: Virtual Campus Tour 5.2 Case 2: COVID Impact on Neighborhood 6 GVM App Implementation and Accessibility 7 Conclusion and Limitation References Application of VR to Educational System of Korea 1 Introduction 2 Literature Review 2.1 High Anticipation on the Application of VR in Curriculum 2.2 Factors to Be Resolved Before the Application of VR into the Educational System 2.3 Increased Usage of VR in Korean Educational Institutions 3 Research Question 4 Methodology 5 Results 5.1 Increased Interest in the Application of VR in the School System 5.2 Looking at Artworks from Multiple Angles 5.3 Observing Artworks at a Close Distance 5.4 Immersive Experience 5.5 Abrupt Transition by Clicking Arrows 5.6 Technological Limitations and Need for Assisting Service for Teachers 6 Implication 6.1 3D Modeling the Artworks 6.2 Implementing Mouse Movement Detective Program 6.3 Establishing New Department for Teacher’s Assistant 7 Conclusion References Architectural View of Non-face-to-face Experiential Learning Through the Immersive Technologies 1 Introduction 2 Components of Virtual Reality Application 2.1 Hardware Components 2.2 Software Used in Virtual Reality 3 Proposed Architecture for Virtual Reality Classroom 3.1 Structure 3.2 Working 4 Conclusion References The Role of Artificial Intelligence (AI) in Assisting Applied Natya Therapy for Relapse Prevention in De-addiction 1 Introduction 2 Brain Pathology and Background 3 General Therapy Methodologies 4 Study Measures 5 Integrating Therapy with Natya Shastra 6 Impact of Trauma and Substance Abuse 7 General Discussion 8 Conclusion References Immersive and Tangible Interface Design of a Smart Puppet Theatre System for Computational Thinking Education 1 Introduction 1.1 Background 1.2 Motivation 2 State of the Art Theatre 2.1 Human-Robot Interactions 2.2 Robot-Stage Interactions 3 System Overview 3.1 Light, Sound, and Scenes 3.2 Localization for Spotlighting Targets 3.3 Motion Planing and Control of Spotlights 3.4 Scene Play Control System 4 Implementation of Smart Theatre 5 Evaluation 6 Discussion and Future Developments 7 Conclusion References Smart Trashcan Brothers: Early Childhood Environmental Education Through Green Robotics 1 Introduction 2 Related Work 3 The Smart Trashcan Brothers 3.1 State Cases 3.2 Physical Design 3.3 Trash Classification 3.4 Motion and Gesture Planning 3.5 Robot to Robot Communication 3.6 Voice Feedback 3.7 Visual Programming Interface 4 Stakeholder Evaluation 4.1 Functional Evaluation 4.2 Activities and Usages 5 Conclusion and Future Work References Effects of Computer-Based (Scratch) and Robotic (Cozmo) Coding Instruction on Seventh Grade Students’ Computational Thinking, Competency Beliefs, and Engagement 1 Introduction 1.1 Theoretical Foundation 1.2 Research Goals 2 Method 2.1 Participants 2.2 Curriculum 2.3 Instruments 2.4 Procedures 2.5 Data Analysis 3 Results 3.1 Assumptions 3.2 Computational Thinking 3.3 Competency Beliefs 3.4 Engagement 4 Discussion 4.1 Implications and Conclusion References Design of a VR-Based Campus Tour Platform with a User-Friendly Scene Asset Management System 1 Introduction 2 Literature Reviews 3 Design Concepts 4 System Overview 4.1 System Architecture 5 Implementation 6 Functional Verification 7 Discussion 8 Conclusion References Usability Analysis for Blockchain-Based Applications 1 Introduction 2 Background 2.1 Blockchain Technology 3 Related Work 4 HCI Principles from Blockchain Point of View 4.1 Trade-off between Usability and Security 5 Case Study of a Blockchain-Based Application 6 Conclusion References Permission-Educator: App for Educating Users About Android Permissions 1 Introduction 2 Related Work 3 Permission-Educator 3.1 Clients 3.2 Cloud Service 4 Results 4.1 The App 4.2 The Website 5 Conclusion and Future Work References An Intelligent System to Support Social Storytelling for People with ASD 1 Introduction 2 Background 2.1 Digital Storytelling 2.2 Digital Social Stories 3 An Intelligent Editor for the Generation of Social Stories 4 Conclusion References Evaluating Accuracy of the Tobii Eye Tracker 5 1 Introduction 2 Related Work 3 Experiment 3.1 Technology Specifications 3.2 Procedure 3.3 Data Processing 4 Results 5 Conclusion and Future Work References Evaluation of Accuracy of Leap Motion Controller Device 1 Introduction 2 Related Work 2.1 Testing the Accuracy of the LMC 2.2 Uses Beyond the Gaming Industry 3 Experimental Setup 3.1 Leap Motion Controller and Unity Game Engine 3.2 Testing and Data Collection Setup 3.3 Accounting for Errors 4 Experimental Results 4.1 Introducing the Use of Convolutional Neural Networks 5 Conclusion and Future Work References A Comparison of Input Devices for Gaming: Are Gamepads Still Useful in PC Environment? 1 Introduction 2 Method 2.1 Experiment Design 2.2 Participants 2.3 Materials 2.4 Experimental Procedure 2.5 Data Analysis 3 Results 3.1 Reaction Time 3.2 Perceived Workload 4 Discussion 5 Conclusion References The Value of eCoaching in the COVID-19 Pandemic to Promote Adherence to Self-isolation and Quarantine 1 Introduction 2 Methods 3 Results 4 Discussion 5 Conclusions and Directions for Further Research References Signal Processing and Complex System Methods of Constructing Equations for Objects of Fractal Geometry and R-Function Method 1 Introduction 1.1 Types of Fractals 2 Methods for Constructing Fractals 2.1 L-System Method 2.2 Iterated Function Systems (IFS) 2.3 Set Theory Method 2.4 Method of R-Functions for Constructing Fractal Equations 3 Conclusion References Determination of Dimensions of Complex Geometric Objects with Fractal Structure 1 Introduction 2 The Main Findings and Results 3 Conclusion References Performance Analysis of the IBM Cloud Quantum Computing Lab Against MacBook Pro 2019 1 Introduction 2 Related Work 3 Theory and Encryption 4 Experimental Setup 4.1 Massive Random Numbers Generation 4.2 Classic Algorithms Performance 4.3 For Loop Concatenation 5 Analysis 5.1 Massive Random Number Generation 5.2 Classic Algorithms Performance 5.3 For Loop Concatenation 6 Conclusions References Algorithms and Service for Digital Processing of Two-Dimensional Geophysical Fields Using Octave Method 1 Introduction 2 Calculating of Signal Spectral Energy 3 Performance Analysis 4 Service Organization and Functional Scheme 5 Conclusion References Methods for Determining the Optimal Sampling Step of Signals in the Process of Device and Computer Integration 1 Introduction 2 Related Works 3 Methodology of Algorithm for Determining the Optimal Sampling Step Based on Spline Wavelets 4 Experimental Results and Discussions 5 Conclusion References Integrated Analogical Signs Generator for Testing Mixed Integrated Circuits 1 Introduction 2 General Draft of the Proposed System 2.1 PDM Signal Generator Algorithm 2.2 Specifications of the Analog Signal Generator 3 Detailed Draft of the Proposed System 3.1 Signal Generator 4 Testing and Results 5 Conclusions References Modeling and Metric of Intelligent Systems Comparison of Various Deep CNN Models for Land Use and Land Cover Classification 1 Introduction 2 Models for LULC Classification 2.1 Random Forest Classifier 2.2 Residual Network Models 2.3 Visual Geometry Group models 3 Methodology 3.1 The Data Set: EuroSAT 3.2 Deep Learning API: Keras 3.3 Results 4 Conclusion and Future Scope References Mathematical Modeling of the Nostational Filteration Process of Oil in the System of Oil Deposits Related to Slow Conductor Layers 1 Introduction 2 Mathematical Model 3 Algorithm for Solving the Problem 4 Computational Experiments on a PC 5 Conclusion References A Novel Metric of Continuous Situational Awareness Monitoring (CSAM) for Multi-telepresence Coordination System 1 Overview 2 Literature Review 2.1 Robotics 2.2 Telepresence 2.3 Virtual Reality 2.4 Human-in-the-Loop 2.5 Human Robot Interaction 3 Proposed Mental Model 4 Materials and Methods 5 Results 6 Discussion 7 Conclusion References AI-Based Syntactic Complexity Metrics and Sight Interpreting Performance 1 Introduction 2 Syntactic Complexity Metrics 2.1 Incomplete Dependency Theory Metric (IDT) 2.2 Dependency Locality Theory Metric (DLT) 2.3 Combined IDT+DLT Metric (IDT+DLT) 2.4 Left-Embeddedness Metric (LE) Metric 2.5 Nested Nouns Distance (NND) Metric 2.6 Bilingual Complexity Ratio Metric (BCR) Metric 2.7 Syntactic Complexity Analysis of the Dataset IMBst18 3 English-to-Chinese Sight Interpreting Experiment 3.1 Experimental Setting for the Dataset IMBst18 3.2 Manual Evaluation of Translation Errors 3.3 Relation Between Syntactic Complexity and Translation Performance 4 Conclusion References Gender Detection Using Voice Through Deep Learning 1 Introduction 2 Background Study 3 Gender Detection Using Voice in COVID-19 4 Requirements Modelling 4.1 Software Requirements 4.2 User Requirements 4.3 System Requirements 4.4 Functional Requirements 4.5 Non-functional Requirements 5 Implementation Method 5.1 Preparing the Dataset 5.2 Installing Dependencies 5.3 Building the Model 5.4 Training the Model 5.5 Testing the Model 6 Results 7 Conclusion References Night Vision, Day & Night Prediction with Object Recognition (NVDANOR) Model 1 Introduction 2 Related Work 3 AMOS Dataset of Day and Night Images 4 Proposed NVDANOR Model Requirements 5 Proposed NVDANOR Implementation Method 6 Experiments and Results 7 Conclusion and Future Work References A Built-in Concentration Level Prediction Device for Neuro Training System Based on EEG Signal 1 Introduction 2 Proposed System 2.1 The Embedded System for Built-In Concentration Level Prediction 2.2 Experimental Protocol 3 Methodology 3.1 Pre-processing and Feature Extraction 3.2 Classification 4 Result and Discussion 4.1 Classification Result 4.2 Model Deployment 5 Conclusion References Towards Man/Machine Co-authoring of Advanced Analytics Reports Around Big Data Repositories 1 Introduction 2 Methodology 2.1 Template Preparation 2.2 Data Extraction 2.3 Report Generation 3 Example Case 4 Evaluation 5 Conclusion Appendix References WTM to Enhances Predictive Assessment of Systems Development Practices: A Case Study of Petroleum Drilling Project 1 Introduction 2 Theoretical Background 2.1 Software Project Management Metrics 2.2 Discussion Case Study 3 Weighted Test Metric (WTM) 4 Research Results and Discussion 4.1 WTM Results 4.2 Research Discussion 5 Conclusion References Face and Face Mask Detection Using Convolutional Neural Network 1 Introduction 2 Methodology 2.1 Convolutional Neural Network (CNN) 2.2 Face and Face Mask Detection 2.3 Face Detection 2.4 Face Mask Detection 3 Experimental Results and Discussion 3.1 Face Detection Experiment 3.2 Face Mask Detection Experiment 3.3 Analysis and Discussion 4 Conclusions References Evaluating the Efficiency of Several Machine Learning Algorithms for Fall Detection 1 Introduction 2 Literature Review 3 Methodology 3.1 Selecting Datasets 3.2 Data Preprocessing 3.3 Fall Detection Simulations 4 Results and Discussion 4.1 Results of Simulations 4.2 Analysis of Results 5 Conclusion References Fuzzy Logic Based Explainable AI Approach for the Easy Calibration of AI Models in IoT Environments 1 Introduction to IoT Environments 2 Background to the IoT Systems 3 Proposed Explainable AI Models Based on Fuzzy Logic (EAI-FL) 3.1 System Design 3.2 Fuzzy Based Model 3.3 IoT Environment Analysis 3.4 Explainable AI Constrained Fuzzy Systems 4 Do AES Inferences Union and Defuse the Set Produced 5 Software Analysis and Performance Evaluation 6 Conclusion and Future Scope References AI-Inspired Solutions Using Mask-RCNN to Identify Defective Parts of Fruits and Vegetables 1 Introduction 2 Data Preparation 3 Model Training 4 Results 5 Discussion 6 Conclusions and Further Work References Attitude Control for Fixed-Wing Aircraft Using Q-Learning 1 Introduction 2 Literature Review 3 Methodology 3.1 Reinforcement Learning and Q-Learning 3.2 Q-Learning Parameters 3.3 JSBSim Simulator 3.4 X-Plane 11 Simulator 3.5 Reward Functions 4 Analysis and Results 5 Conclusion References Exploiting Federated Learning Technique to Recognize Human Activities in Resource-Constrained Environment 1 Introduction 1.1 Motivation 1.2 Literature Reviews 1.3 Contributions 2 System Description 2.1 Federated Learning Background 2.2 Construction of a Activity and Resource-Aware Framework 2.3 Enabling Partial Works from the Agents 2.4 Proposed FL-Based Human Activity Recognition Algorithm 3 Experimental Results 4 Conclusion References Modeling Human Decision-Making Delays and Their Impacts on Supply Chain System Performance: A Case Study 1 Introduction 2 Theoretical Fundamentals 3 Development of a Conceptual Model for Assessing Delays in Human–Computer Interactions 3.1 Modelling Decision-Making Process in the Human–Computer Interaction 3.2 Interaction Nature: Drivers, Delays, and Uncertainty 3.3 Mathematical Modeling of Delay Impact on a Given Resource Need 3.4 A Time-Oriented Model for Decisions Enabling Delays Evaluation 4 Simulation Model for HCI Delays: A Supply Chain Case Study 4.1 Case Study Definition 4.2 Development of a System Dynamics Model for the Case Study 4.3 Model Validation 4.4 Scenarios Definition 4.5 Simulation Results for the Case Study 5 Discussion 6 Conclusions and Future Outlook References reSenseNet: Ensemble Early Fusion Deep Learning Architecture for Multimodal Sentiment Analysis 1 Introduction 1.1 Research Contribution 2 State of Art in Sentiment Analysis 2.1 Deep Learning Research in Sentiment Analysis 2.2 Multimodal Deep Learning in Sentiment Analysis 2.3 Multi-modal Feature Fusion Methods 3 The ReSenseNet Architecture 3.1 Feature Reduction Layer 3.2 Fusion Layer 3.3 Fully Connected Layer 4 Dataset and Data Preparation 4.1 The Dataset and the Multi-modal Features 4.2 Data Preprocessing 5 Performance Analysis 5.1 Experimental Setup 5.2 Evaluation on reSenseNet Architecture 5.3 Results and Discussion 6 Final Discussion References Analysis of User Interaction to Mental Health Application Using Topic Modeling Approach 1 Introduction 2 Related Work 3 Mobile Application for Mental Health 4 Topic Modeling Methods 4.1 Number of Optimum Topics 5 Experiment and Result 5.1 Experimental System 5.2 Data Preparation: Collection and Pre-processing 5.3 Result and Analysis 6 Conclusion and Future Scope References Alzheimer's Dementia Recognition Using Multimodal Fusion of Speech and Text Embeddings 1 Introduction 2 Methodology 2.1 Transcript Generation 2.2 Text Modality 2.3 Audio Modality 2.4 Fusion Methods 3 Experimental Evaluation 3.1 Dataset Description 3.2 Implementation Details 4 Results 4.1 Comparison with State-of-the-Art 5 Conclusions References Exploring Multimodal Features and Fusion for Time-Continuous Prediction of Emotional Valence and Arousal 1 Introduction 2 Features and Model 2.1 Audio 2.2 Video 2.3 Text 2.4 Fusion 3 Experiments and Results 3.1 Experimental Setup 3.2 Results and Discussion 4 Conclusions and Future Work References Simulation Model of a Spare Parts Distribution Network in the Airline Industry for Reducing Delays and Improving Service Levels: A Design of Experiments Study 1 Introduction 2 Theoretical Fundamentals: Distribution for Maintenance 3 Methodology and Model Development 3.1 Methodology 3.2 Simulation Model Development in Vensim 4 Design of Experiments of a Spare Parts Distribution Network Simulation Model 4.1 Design of Experiments Using Minitab 4.2 DOE for Stationary Demand: High Case (Scenario 1) 4.3 Overview of the DOE Results 5 Discussion 6 Conclusions and Future Outlook References KeyNet: Enhancing Cybersecurity with Deep Learning-Based LSTM on Keystroke Dynamics for Authentication 1 Introduction 2 Related Work 3 Keystroke Dynamic Dataset 4 Proposed Framework 5 Experimental Results 6 Conclusion References Emotion Recognition from Brain Signals While Subjected to Music Videos 1 Introduction 2 Literature Survey 3 Data and Method 3.1 Dataset Description 3.2 Methodology 4 Experimental Results 5 Conclusion References Author Index