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Intro -- Title -- Preface -- Organization -- Table of Contents -- Toward a Desirable Relationship of Artificial Objects and the Elderly: From the Standpoint of Engineer and Psychologist Dialogue -- Introduction: The Day Prof. Obinata Asked Me Some Questions -- Objects -- Primitive Relationships Between Objects and Persons -- Relationships Between Objects and the Elderly -- Differences Between Machines and Objects -- Definition of Machine -- Differences Between Machines and Objects: First Discussion -- Differences Between Machines and Objects: Second Discussion -- Differences Between Artificial Objects and Machines and Objects -- Conclusion -- References -- A Framework of Context-Aware Object Recognition for Smart Home -- Introduction -- Problem Statement and Framework -- Object Registration -- Illumination Recognition -- Background Update and Location Candidate -- SIFT Descriptor -- Model Matching Strategy -- Experimental Result -- Results on Illumination Recognition -- Object Recognition -- Limitation of SIFT Descriptor -- Conclusions and Future Work -- References -- A Pervasive Watch-Over System Based on Device, User and Social Awareness -- Introduction -- uEyes: The Concept -- Design of uEyes -- AMUSE Framework -- AMUSE Agents for uEyes -- Agent Behavior for Social Awareness -- Application: A Watching System for Elderly People -- Implementation and Experimental Environment -- Experiments -- Exp.(1): Experiments with Device-Aware and User-Aware Agents -- Exp.(2): Experiments with Social-Aware Agents -- Evaluation -- Conclusion -- A Context-Driven Programming Model for Pervasive Spaces -- Introduction -- Related Work -- The Physical World -- Observing the World with Sensors -- Influencing the World with Actuators -- Inhabiting the World as a User -- The Context-Driven Programming Model for Pervasive Spaces -- Interpreting Sensor Data.

Intro -- Preface -- ICOST 2014 Organization -- Keynotes -- A New IT (Inclusive Technology) Revolution -- 10 Years of Reminding Technologies:What Have We Learnt? -- The Challenge of Assistive Technologies in Developing Countries -- Contents -- Design and Usability -- Designing a Multi-sided Health and Wellbeing Platform: Results of a First Design Cycle -- Abstract -- 1 Introduction -- 2 Health and Wellbeing Domain -- 3 Kernel Theory: Platform Theory -- 4 Method -- 4.1 Design Science Research -- 4.2 Interview Method -- 5 Results -- 5.1 Main Purpose of the Platform -- 5.2 Benefited Users from the Platform -- 5.3 Critical Design Issues to Start a Platform -- 6 Discussion and Interpretation -- 7 Conclusions and Next Steps -- References -- Design and Usability of a Smart Home Sensor Data User Interface for a Clinical and Research Audience -- Abstract -- 1 Introduction -- 2 Analysis of Previous System and Components -- 2.1 Inconsistent Grouping of Controls and Poor Navigation Between Charts -- 2.2 Frustrations in Navigating Through Time Data -- 3 Version 2 -- 3.1 Iterative Insight -- 3.2 Multi-device Friendly -- 3.3 Improvement on Time Navigation -- 3.4 Visual Controls -- 3.5 Dynamic Options -- 4 Future Work -- 4.1 Accommodating Different User Types and Motivations -- References -- EasiSocial: An Innovative Way of Increasing Adoption of Social Media in Older People -- Abstract -- 1 Introduction -- 2 EasiSocial -- 3 Method -- 4 Results -- 4.1 Total Interactions per Participant -- 4.2 Total Time Spent Using Facebook and EasiSocial -- 4.3 The Usability Questionnaire -- 5 Discussion -- 6 Conclusion -- Acknowledgements -- References -- Agile Development for the Creation of Proper Human-Computer Interfaces for the Elderly -- Abstract -- 1 Introduction -- 2 Motivation -- 3 Goals of Agile Development -- 3.1 Adaptability -- 3.2 Simplicity -- 3.3 Communication.

Title -- Preface -- Organization -- Table of Contents -- User Engagement for Improved Adoption of Assistive Technologies -- Challenges of User-Centred Research in the Development of Ambient Assisted Living Systems -- Introduction -- The SOPRANO Project -- User Requirements -- Prototyping the SOPRANO System -- Demonstration and Field Trials -- Key Findings -- Usability of the SOPRANO System -- Usefulness of the SOPRANO System -- Acceptability of the SOPRANO System -- Benefits, Challenges and Pitfalls of User-Centred approach -- AAL in Everyday Life -- Relationship-building -- Managing a Consortium-Based Project -- Balancing User Research and Market Issues -- Conclusion -- References -- A Framework for Service Morphing and Heterogeneous Service Discovery in Smart Environments -- Introduction -- Obstacle 1: -- Obstacle 2: -- Obstacle 3: -- -- Related Work -- Service Morphing -- Centralized OSGi/Web Service Directory -- Conversion into Compatible Service Registration -- Automatic publishing of OSGi service registrations to UDDI -- Support for Mobile Devices and Location-Awareness Implications -- Performance Evaluation -- Conclusion -- References -- Impact Analysis of Assessment, Consultation and Education Services to Support the Adoption of Smart Home Technologies, Innovations for Chronic Disease Prevention and Solutions for Independent Living -- Introduction -- Ageing and Disability -- Smart Home and Assistive Technology -- LifeTec -- Specific Services and stakeholders -- Methods -- Findings and Discussion -- Conclusion -- References -- Ensuring a Fruitful Future to Innovation and Research: Practical Guidance for the Involvement of Older People in Research -- Introduction -- Older People as Users -- Why Involve Older People? -- Levels and Methods of User Involvement -- Challenges for User Involvement and How to Overcome Them -- Conclusions.

Title Page -- Preface -- Organization -- Table of Contents -- Smart Home and Village -- Adaptative Applications for Heterogeneous Intelligent Environments -- Introduction -- Related Work -- Adaptative Application Framework -- Preprocessor Directives -- Fuzzy Knowledge Eliciting Reasoner -- Evaluation -- Conclusions -- References -- An Automated Prompting System for Smart Environments -- Introduction -- Related Work -- System Architecture -- Experimental Setup -- Theoretical Background -- Experiments and Discussion -- Conclusion and Future Work -- References -- Domain Selection and Adaptation in Smart Homes -- Introduction -- Proposed Model -- Measuring Domain Distance -- Model Details -- Experiments -- Conclusions and Future Work -- References -- Daily Human Activity Recognition Using Depth Silhouettes and R Transformation for Smart Home -- Introduction -- Methodology -- Depth Silhouette Preprocessing -- Feature Representation -- PCA and LDA for Silhouette Feature Extraction -- Activity Recognition via HMM -- Experimental Results -- Conclusions -- References -- Activity Recognition in Smart Environments: An Information Retrieval Problem -- Introduction -- Proposed Approach -- Activity Model -- Algorithm -- Experiments -- Experimental Results -- Scalability -- Conclusion and Perspectives -- References -- Annotating Sensor Data to Identify Activities of Daily Living -- Introduction -- Related Research -- DANTE System -- Experimental Outline -- Discussion of Experimental Findings -- Conclusion -- References -- Using Association Rule Mining to Discover Temporal Relations of Daily Activities -- Introduction -- Related Work -- Model Description -- Temporal Activity Features Discovery -- Temporal Activity Relations Discovery -- Experimental Results -- Experimental Setup -- Validation of TEREDA -- Conclusions and Future Work -- References.

Intro -- Preface -- Organization -- Contents -- Smart Homes, Smart Urban Spaces and New Assistive Living Space Concepts in the Smart City -- Multi-resident Location Tracking in Smart Home through Non-wearable Unobtrusive Sensors -- 1 Introduction -- 2 Smarter Safer Home Platform -- 2.1 Overview of SSH Platform -- 2.2 Ground Truth Collection Through Bluetooth Localisation -- 3 Probabilistic Models for Multi-resident Location Tracking -- 3.1 Multi-tracker with Naive Bayes -- 3.2 Multi-tracker with Hidden Markov Models -- 4 Experiments -- 5 Conclusion and Future Work -- References -- People Tracking in Ambient Assisted Living Environments Using Low-Cost Thermal Image Cameras -- 1 Introduction -- 2 Related Work -- 3 System Overview -- 4 Detailed System Description -- 4.1 Sensorial Equipment -- 4.2 Preprocessing of Raw Images -- 4.3 Data Association -- 4.4 Monte-Carlo Particle Filter Tracking -- 5 Experimental Evaluation -- 6 Conclusions and Future Work -- References -- A Preprocessing Algorithm to Increase OCR Performance on Application Processor-Centric FPGA Architec ... -- Abstract -- 1 Introduction -- 2 Related Works -- 3 The Specification -- 4 The Algorithm -- 5 Results -- 6 Conclusion -- Acknowledgement -- References -- E-Health for Future Smart Cities -- DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided Dietary Assessment -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Deep Learning, Convolutional Neural Network (CNN), and Their Applications to Visual-Based Food Image Recognition -- 3.2 Proposed CNN-Based Approach for Visual-Based Food Image Recognition -- 4 Experimental Results -- 4.1 Experimental Results on UEC-256 -- 4.2 Experimental Results on Food-101 -- 4.3 The Employment of Bounding Box -- 4.4 Running Time -- 5 Conclusion -- Acknowledgments -- References.