How AI Impacts Urban Living and Public Health 17th International Conference, ICOST 2019, New York City, NY, USA, October 14-16, 2019, Proceedings

This open access book constitutes the refereed proceedings of the 17th International Conference on String Processing and Information Retrieval, ICOST 2019, held in New York City, NY, USA, in October 2019. The 15 full papers and 5 short papers presented in this volume were carefully reviewed and sele...

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Bibliographic Details
Main Authors: Pagán, José, Mokhtari, Mounir, Aloulou, Hamdi, Abdulrazak, Bessam, Cabrera, María Fernanda
Format: eBook
Language:English
Published: Cham Springer Nature 2019
Springer International Publishing AG
Springer Open
Edition:1
Series:Lecture Notes in Computer Science (11862)
Subjects:
Computer programming, programs, data
ISBN:9783030327859, 303032785X, 3030327841, 9783030327842
Online Access:Get full text
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Table of Contents:
  • 4 AAL Systems Design and Implementation -- 4.1 Architecture Design -- 5 Architecture Deployment -- 5.1 Materials and Method -- 6 Conclusion -- References -- Designing a Navigation System for Older Adults: A Case Study Under Real Road Condition -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Implementation Phase -- 3.2 Assessment Under Real-World Conditions -- 4 Results -- 4.1 Objective Mental Workload -- 4.2 Subjective Mental Workload -- 4.3 Comparison of Objective and Subjective Mental Workload -- 4.4 System Usability Assessment -- 5 Discussion - Conclusion -- Acknowledgments -- References -- Short Contributions -- User Embeddings Based on Mobile App Behavior Data -- Abstract -- 1 Introduction -- 2 Related Work -- 3 User Embeddings Model -- 3.1 Method Explanation -- 4 Experiments -- 4.1 User Embedding Use Cases -- 4.1.1 Gender Clustering -- 4.1.2 Age Clustering -- 4.1.3 Embedding for User Similarity Task -- 4.1.4 Validation Using Analogy Tasks -- 4.1.5 User Embedding for Classification Task -- 5 Conclusion and Future Work -- References -- Design, Development and Initial Validation of a Wearable Particulate Matter Monitoring Solution -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 3.1 Main Components and Design -- 3.2 Development -- 4 3D Case Design -- 4.1 Initial Validations -- 5 Discussions and Conclusion -- Acknowledgment -- References -- Cooperative System and Scheduling Algorithm for Sustainable Energy-Efficient Communities -- 1 Introduction -- 2 System Model -- 2.1 Consumer System Design -- 2.2 Aggregator System Design -- 3 Algorithm Validation -- 4 Conclusions -- References -- ForeSight - Platform Approach for Enabling AI-based Services for Smart Living -- 1 Motivation -- 2 State of the Art -- 3 Challenges -- 4 Approach -- 5 Discussion -- References
  • 4.2 Imbalanced Data -- 4.2.1 Oversampling -- 4.3 Network Architecture and Hyper-parameters Tuning -- 4.4 Performance Metrics Analysis -- 5 Conclusion -- References -- Well-being Technology -- A Deep Learning Method for Automatic Visual Attention Detection in Older Drivers -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 UFOV Test -- 3.2 LSTM Model -- 4 Experimental Study -- 5 Classification Results -- 6 Conclusion -- References -- Smart Mat for Respiratory Activity Detection: Study in a Clinical Setting -- 1 Introduction -- 2 Background -- 3 Methodology -- 3.1 RR Estimation -- 4 Results and Discussion -- 5 Conclusion -- References -- Non-invasive Classification of Sleep Stages with a Hydraulic Bed Sensor Using Deep Learning -- 1 Introduction -- 2 Sensors and Datasets -- 2.1 Posture Dataset -- 2.2 Sleep Stage Dataset -- 2.3 Data Preprocessing -- 3 Architecture Design -- 4 Training and Experimental Results -- 5 Conclusion -- References -- Biomedical and Health Informatics -- A Convolutional Gated Recurrent Neural Network for Epileptic Seizure Prediction -- 1 Introduction -- 2 Background -- 2.1 Epilepsy -- 2.2 EEG -- 3 Related Work -- 3.1 Epileptic Seizure Detection -- 3.2 Epileptic Seizure Prediction -- 4 CGRNN -- 4.1 Data Preparation -- 4.2 Data Analysis -- 5 Experimental Evaluation -- 6 Conclusion -- References -- Ubiquitous Healthcare Systems and Medical Rules in COPD Domain -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Proposed System -- 4 COPD Rules -- 4.1 Biomarkers Rules -- 4.1.1 Heart Rate Rules -- 4.2 Indoor and Outdoor Rules -- 5 Dataset -- 5.1 Real-Life Activities -- 5.2 Environmental Conditions -- 5.3 Medical Records -- 6 Implementation -- 7 Evaluation -- 8 Conclusion -- References -- DL4DED: Deep Learning for Depressive Episode Detection on Mobile Devices -- 1 Introduction -- 2 Related Work -- 3 DL4DED
  • 3.1 Architecture -- 3.2 Deep Learning for Voice Status Identification -- 4 Implementation Issues -- 4.1 Data Processing -- 4.2 Implementation on Mobile Devices -- 5 Experimental Results -- 5.1 Performance -- 5.2 Power Consumption -- 6 Conclusion -- References -- ICT-Based Health Care Services for People with Spinal Cord Injury: A Pilot Study -- Abstract -- 1 Introduction -- 2 Method -- 2.1 Participants -- 2.2 ICT-Based Health Care Services -- 2.3 Pulmonary Function Testing Device -- 2.4 Urinary Chemistry Analyzer -- 2.5 Home Visit Occupational Therapy -- 2.6 Digital Hand-Bike -- 2.7 Digital Cushion -- 3 Results -- 4 Conclusion -- Acknowledgments -- References -- Smart Environment Technology -- An Interconnected Smart Technology System for Individuals with Mental Illness Living in the Community and Transitional Hospital Apartments -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Discussion -- 5 Conclusions -- Conflicts of Interest -- References -- Transfer Learning for Urban Landscape Clustering and Correlation with Health Indexes -- Abstract -- 1 Introduction -- 2 Deep Learning and Transfer Learning Models -- 3 Data and Methods -- 3.1 The Data Analysis Pipeline -- 3.2 Image Blocks -- 3.3 Estimation of the Healthcare Indexes for Each Image Block -- 3.4 Deep Neural Networks Processing and Clustering -- 3.5 Correlation and Statistical Analysis -- 4 Results -- 4.1 Clustering -- 4.2 Correlation and Statistical Analysis -- 4.3 Mapping -- 5 Discussion and Conclusions -- Acknowledgement -- References -- An IoT Architecture of Microservices for Ambient Assisted Living Environments to Promote Aging in Smart Cities -- 1 Introduction -- 2 Background and Related Works -- 3 AAL Systems Requirements and Challenges -- 3.1 Modularity -- 3.2 Availability of Services -- 3.3 Services Delivery -- 3.4 Adaptability
  • Intro -- Preface -- Organization -- Contents -- E-health Technology Design -- Privacy and Security of IoT Based Healthcare Systems: Concerns, Solutions, and Recommendations -- 1 Introduction -- 2 IoT Sleep Trackers -- 3 Privacy and Security Concerns -- 4 Existing Security and Privacy Solutions -- 5 AMI-IoT Deployed Platform -- 5.1 Sensing Approach (SA) -- 5.2 Awareness and Security (AS) -- 5.3 Responsibility and Actions (RA) -- 6 Recommendations -- 7 Conclusion -- References -- Designing an ICT Solution for the Empowerment of Functional Independence of People with Mild Cognitive Impairment: Findings from Co-design Sessions with Older People -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Materials -- 2.2 Sample -- 2.3 Co-design Sessions Protocol -- 3 INFINITy Solution Design -- 3.1 Use Cases -- 3.1.1 Support to Indoor and Outdoor Activities with NFC Cards -- 3.1.2 Automatic Messages to Reinforce Abilities -- 3.2 Interface First Designs -- 3.2.1 Main Menu (Launcher) Interface -- 3.2.2 Automatic Messages Interface -- 3.2.3 Other Interface Buttons and Functionalities -- 3.3 NFC Cards Format -- 4 Key Findings from Co-design Sessions -- 5 Conclusions -- Acknowledgments -- References -- Deployment of an IoT Solution for Early Behavior Change Detection -- 1 Introduction -- 2 Literature Review and Related Work -- 3 Montpellier Pilot Setup -- 4 Recruitment and Engagement -- 5 Technologies and Data Collection -- 6 Data Interpretation -- 7 Intervention Process -- 8 Validation -- 8.1 Detection Process Validation -- 8.2 Results and Performance -- 9 Conclusion -- References -- Long Short Term Memory Based Model for Abnormal Behavior Prediction in Elderly Persons -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Problem Description -- 3.2 LSTM for Anomaly Description -- 4 Experiment Study -- 4.1 Dataset
  • Mobility Application with Semantic Reasoning -- 1 Introduction -- 2 Research Problem -- 3 Application Design -- 3.1 User Interface -- 4 Reasoning -- 4.1 Model -- 4.2 Rules -- 4.3 Reasoner -- 4.4 Implementation of a Decision Table -- 4.5 Deployment -- 5 Results -- 6 Conclusion -- References -- Author Index