Leone / Caroppo / Rescio Ambient Assisted Living

Italian Forum 2018
1. Auflage 2019
ISBN: 978-3-030-05921-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 544, 529 Seiten, eBook

Reihe: Lecture Notes in Electrical Engineering

This book documents the state of the art in the field of ambient assisted living (AAL), highlighting the impressive potential of novel methodologies and technologies to enhance well-being and promote active ageing. The coverage is wide ranging, with sections on care models and algorithms, enabling technologies and assistive solutions, elderly people monitoring, home rehabilitation, ICT solutions for AAL, living with chronic conditions, robotic assistance for the elderly, sensing technologies for AAL, and smart housing. The book comprises a selection of the best papers presented at the 9th Italian Forum on Ambient Assisted Living (ForitAAL 2018), which was held in Lecce, Italy, in July 2018 and brought together end users, technology teams, and policy makers to develop a consensus on how to improve provision for elderly and impaired people. Readers will find that the expert contributions offer clear insights into the ways in which the most recent exciting advances may be expected to assist in addressing the needs of the elderly and those with chronic conditions.

Zielgruppe

Research

Autoren/Hrsg.

Leone, Alessandro

Caroppo, Andrea

Rescio, Gabriele

Diraco, Giovanni

Siciliano, Pietro

Inhaltsverzeichnis

1;Preface;6
2;Contents;8
3;Models and Algorithms;13
4;A Personalised Virtual Coach to Counteract Ageing Decline: The H2020 NESTORE Project;14
4.1;1 Introduction;15
4.2;2 The Wellbeing Dimensions of NESTORE;16
4.3;3 Scope of NESTORE and Key Innovations;17
4.4;4 The NESTORE Methodological Approach and Validation;18
4.5;5 Cost-Effectiveness and Sustainability of NESTORE;20
4.6;6 Conclusions;21
4.7;References;22
5;Multi-domain Model of Healthy Ageing: The Experience of the H2020 NESTORE Project;23
5.1;1 Introduction;24
5.2;2 NESTORE Model of Healthy Ageing;24
5.3;3 Physiological Status and Physical Activity Behaviour;25
5.4;4 Nutrition;27
5.5;5 Cognitive and Mental Status and Social Behaviour;27
5.6;6 NESTORE Healthy Ageing Model Outcomes;29
5.7;7 Conclusions;30
5.8;References;30
6;New Models in Managing Out-of-Hospital Care of Chronic Patients and Aging Population;32
6.1;1 Introduction;32
6.2;2 Integrated Out-of-Hospital Care Solutions;33
6.2.1;2.1 The Birth of the AICare Idea and the First Applications;34
6.2.2;2.2 Pilot Study Population;35
6.3;3 Aicare Marketplace: Improved Accessibility Putting the Patient at the Center of Care;35
6.3.1;3.1 The AICare Model;36
6.3.2;3.2 The AICare Platform in Brief;37
6.4;4 Involvement of Non-medical Professionals in the Care Program;40
6.5;5 Different Approaches: “Top-Down” in National Systems Versus “Bottom-Up” in Private Care Options;40
6.6;6 Collaboration Between Partner Companies/Hospitals;41
6.7;7 Working on All Aspects of Health—Not Only the Disease;41
6.8;8 Conclusions;41
6.9;References;42
7;From Ambient Assisted Living to Society Ambient Living;43
7.1;1 Introduction;43
7.2;2 From Tradition to Innovation;44
7.2.1;2.1 Generalization of the Assistive Technology Approach;46
7.2.2;2.2 Increasing Use of Intelligence;46
7.3;3 Technology Developments;49
7.3.1;3.1 Environments with Intelligent Objects;49
7.3.2;3.2 Intelligent Environments and Dedicated Networks;50
7.3.3;3.3 Extension to the Entire Society;51
7.4;4 Examples of Experimental Implementation;52
7.5;5 Conclusion;53
7.6;References;53
8;Designing Multidimensional Assessment of ICTs for Elderly People: The UNCAP Clinical Study Protocol;54
8.1;1 Background and Rationale;55
8.1.1;1.1 Aging of EU Population and Needs for Innovative Technologies;55
8.1.2;1.2 Evaluating Safety and Effect of Innovative Technologies;56
8.2;2 The UNCAP Bundle;57
8.2.1;2.1 System Architecture;57
8.2.2;2.2 Indication for Use;58
8.3;3 Available Evidences on ICTs for the Elderly with CI;59
8.4;4 Study Design;61
8.4.1;4.1 Objectives and Research Questions;62
8.4.2;4.2 Study Dimensions and Outcome Variables;62
8.4.3;4.3 Primary and Secondary Hypotheses and Study Endpoints;62
8.4.4;4.4 Criteria for Recruiting Participants;62
8.4.5;4.5 Recruitment Process;66
8.4.6;4.6 Sample Size;67
8.4.7;4.7 Control Groups for Primary End-Users (EP) and ICGs;69
8.4.8;4.8 Randomization Procedures;69
8.4.9;4.9 Criteria for Discontinuing Individuals;69
8.5;5 Study Procedure;70
8.5.1;5.1 T0 (Enrolment Time);70
8.5.2;5.2 T1 (UNCAP First Time Exposure for Test Groups. Training);71
8.5.3;5.3 T2 (Evaluation of UNCAP Acceptance and Starting of UNCAP Evaluation);72
8.5.4;5.4 T3 (Intermediate UNCAP Evaluation);72
8.5.5;5.5 T4 (End of the Evaluation Period);72
8.6;6 UNCAP Multidimensional Assessment;73
8.7;7 Conclusions;75
8.8;References;75
9;A Technological Approach to Support the Care Process of Older in Residential Facilities;77
9.1;1 Introduction;78
9.2;2 The OPENCARE Architecture;79
9.2.1;2.1 Air Quality Sensor;80
9.2.2;2.2 Bed Sensor;81
9.2.3;2.3 Data Introduced by Tablet Interface;81
9.3;3 Data Acquisition and Elaboration;82
9.4;4 Conclusion;84
9.5;References;84
10;A Non-invasive Method for Biological Age Estimation Using Frailty Phenotype Assessment;86
10.1;1 Introduction;86
10.2;2 Related Works;88
10.3;3 Method and Materials;90
10.3.1;3.1 Frailty Phenotype;91
10.3.2;3.2 Evaluation Protocol;92
10.3.3;3.3 Cloud Application;93
10.3.4;3.4 Biological Age Estimation;94
10.4;4 Results;95
10.5;5 Conclusions and Future Developments;98
10.6;References;98
11;Enabling End Users to Define the Behavior of Smart Objects in AAL Environments;100
11.1;1 Introduction and Motivation;101
11.2;2 A Quick Look at the State of the Art;102
11.3;3 Using the EFESTO Platform in an AAL Scenario;104
11.4;4 Conclusion and Future Work;105
11.5;References;107
12;Smart Objects and Biofeedback for a Pediatric Rehabilitation 2.0;109
12.1;1 Introduction;110
12.2;2 Methods;110
12.3;3 Results;116
12.4;4 Discussion;121
12.5;5 Conclusions and Future Work;122
12.6;References;123
13;The Use of Smart Tools for Combined Training of People with MCI: A Case Report;124
13.1;1 Introduction;125
13.2;2 Related Works;125
13.3;3 Materials and Methods;126
13.3.1;3.1 Protocol;129
13.3.2;3.2 Participants;130
13.4;4 Results;132
13.5;5 Discussion;133
13.6;6 Conclusion;135
13.7;References;136
14;Designing and Implementing a Transferability Testing Methodology for AAL Systems Dedicated to Integrated Care Services;138
14.1;1 Study Overview;139
14.2;2 Pre-study Activities: Localization and Recruitment;140
14.2.1;2.1 System Localization;140
14.2.2;2.2 Inclusion and Exclusion Criteria;141
14.2.3;2.3 Recruitment Procedures;141
14.2.4;2.4 Informed Consent Procedures;143
14.2.5;2.5 Baseline Assessment;143
14.3;3 System Testing;143
14.3.1;3.1 Introducing and Implementing the System;143
14.3.2;3.2 Using the System;145
14.3.3;3.3 Trial Logistics;146
14.4;4 System Evaluation;147
14.4.1;4.1 Quantitative Follow-up;147
14.4.2;4.2 Qualitative Follow-up;147
14.4.3;4.3 Interoperability Evaluation;147
14.5;5 Results and Conclusions;147
14.6;References;148
15;The Design, Implementation and Evaluation of a Mobile App for Supporting Older Adults in the Monitoring of Food Intake;149
15.1;1 Introduction;149
15.1.1;1.1 Changes in the Nutritional Needs of Older Adults;150
15.1.2;1.2 Changes in Physical and Cognitive Skills;150
15.1.3;1.3 Supporting Older Adults’ Food Intake;151
15.2;2 The Research;151
15.2.1;2.1 Study 1: App Selection and Preliminary Evaluation;152
15.2.2;2.2 Study 2: Design Requirements and Implementation;155
15.2.3;2.3 Study 3: Usability Evaluation;157
15.3;3 Discussion and Conclusions;159
15.4;References;160
16;Reasoning in Multi-agent Based Smart Homes: A Systematic Literature Review;162
16.1;1 Introduction;163
16.2;2 The Review Process;164
16.2.1;2.1 Planning the Review;165
16.2.2;2.2 Conducting the Review;166
16.2.3;2.3 Data Synthesis;169
16.3;3 Review Results and Discussion;169
16.3.1;3.1 Purposes of Smart Homes;169
16.3.2;3.2 Requirements of a Smart Home Reasoning System;170
16.3.3;3.3 Technologies for Multi-agent Based Smart Homes;172
16.3.4;3.4 Evaluation of the Presented Solutions;174
16.3.5;3.5 Challenges and Future Research Directions;177
16.4;4 Conclusion;177
16.5;References;178
17;Will Robin Ever Help ``Nonna Lea'' Using Artificial Intelligence?;181
17.1;1 Introduction;182
17.2;2 An Intelligent and Friendly Robot for ``Nonna Lea'';183
17.3;3 KOaLa: Knowledge-Based Continuous Loop;184
17.3.1;3.1 The Semantic Module;185
17.3.2;3.2 The Acting Module;186
17.4;4 KOaLa in aid of ``Nonna Lea'': An Happy Ending Story?;189
17.5;5 Conclusions;191
17.6;References;191
18;Enabling Technologies and Assistive Solutions;192
19;Age-Friendly City and Walkability: Data from Observations Towards Simulations;193
19.1;1 Introduction and Related Work;193
19.2;2 Observation Results;194
19.3;3 Discussion;196
19.4;References;197
20;A Novel Tele-Medicine System to Improve Therapy Monitoring in Chronic Respiratory Diseases;199
20.1;1 Introduction;200
20.2;2 Smart Breath Analyzer (SBA);200
20.3;3 Overall Network Architecture;201
20.4;4 Conclusions;203
20.5;References;203
21;The Diabesity Care Project: Diabetes Integrated Monitoring System for Self-care Empowering;204
21.1;1 Introduction;204
21.2;2 Study and Research;206
21.3;3 Technical Activities;208
21.4;4 Future Outcome Evaluation;213
21.5;5 Conclusions;215
21.6;References;216
22;Fully Integrated Smart Insole for Diabetic Foot;217
22.1;1 Introduction;218
22.2;2 Smart Insole System;219
22.2.1;2.1 Temperature and Pressure Data Acquisition—Transmission System;219
22.3;3 Results;222
22.4;4 Conclusion;223
22.5;References;224
23;A eHealth System for Atrial Fibrillation Monitoring;225
23.1;1 Introduction;225
23.2;2 Materials and Methods;226
23.2.1;2.1 Acquisition System;226
23.2.2;2.2 Analysis on Heart Activity;227
23.2.3;2.3 Analysis on Breathing Signal: Apnea Events Detection Algorithm;231
23.2.4;2.4 Application;233
23.3;3 Results;234
23.4;4 Conclusion;235
23.5;References;236
24;Assessment of Mental Stress Through the Analysis of Physiological Signals Acquired From Wearable Devices;238
24.1;1 Introduction;239
24.2;2 State of the Art;239
24.3;3 Hardware Configuration;240
24.4;4 Measurement Protocol;242
24.5;5 Data Analysis;242
24.5.1;5.1 Cardiovascular and Respiratory Data Processing;242
24.5.2;5.2 EEG Data Processing;243
24.5.3;5.3 Feature Extraction;244
24.6;6 Results;246
24.7;7 Conclusions;248
24.8;References;250
25;Experimentation of a Low Cost Public Transport System for People with Visual Disabilities;252
25.1;1 Introduction;253
25.2;2 Related Works;253
25.3;3 System Architecture;254
25.3.1;3.1 User Application;256
25.3.2;3.2 Bus Application;257
25.3.3;3.3 Server;257
25.4;4 Prototype;257
25.5;5 Pilot Experiment and Preliminary Results;260
25.6;6 Conclusion;261
25.7;References;262
26;Upper Limbs Orthosis for Disability Support: The Areas of Project Development Between Technology and Design;264
26.1;1 Research ScenarioA;265
26.1.1;1.1 Mobility Level;265
26.1.2;1.2 Universal Design as User Support;265
26.1.3;1.3 Orthesis and Prosthesis as Accessory;267
26.1.4;1.4 Objectives of the Research Project;268
26.2;2 Case Study OneB;269
26.2.1;2.1 Talking Hands—Background;269
26.2.2;2.2 Introduction;269
26.2.3;2.3 Architectural High-Level Design;270
26.2.4;2.4 Software and Firmware;270
26.2.5;2.5 Wearing System;272
26.3;3 Case Study TwoC;273
26.3.1;3.1 Research Scenario: The Pathology and the Patient;273
26.3.2;3.2 A New Type of Orthosis: The Role of Design and Technological Contamination;275
26.3.3;3.3 An Orthesis Capable of Evolving with the Course of the Disease;277
26.4;4 Merging SystemsA-B-C;278
26.5;References;279
27;Depth-Based Fall Detection: Outcomes from a Real Life Pilot;281
27.1;1 Introduction;282
27.2;2 Materials and Methods;283
27.2.1;2.1 Hardware Components;283
27.2.2;2.2 The Fall Detection Algorithm;284
27.3;3 Fall Detection Performance;285
27.4;4 Pilot Installation;287
27.4.1;4.1 System Deployment;288
27.4.2;4.2 Main Outcomes;291
27.5;5 Conclusion;292
27.6;References;293
28;Big Data Analytics in Smart Living Environments for Elderly Monitoring;294
28.1;1 Introduction;294
28.2;2 Related Works and Background;295
28.3;3 Materials and Methods;297
28.4;4 Experimental Results and Discussion;300
28.5;5 Conclusions;301
28.6;References;301
29;A Smart Inertial Pattern for the SUMMIT IoT Multi-platform;303
29.1;1 Introduction;304
29.2;2 The System Developed;305
29.2.1;2.1 The ADL Classification Methodology;306
29.3;3 Experimental Results;309
29.4;References;310
30;RareBox App. Patient-Centered Monitoring System in the Self-management of Rare Diseases;312
30.1;1 Apulia Region’s Focus on Rare Diseases;312
30.2;2 RareBox Research Project;313
30.2.1;2.1 Phase 1. Quality of Life and Biopsychosocial Perspective: Research Tools;314
30.2.2;2.2 Phase 2. Patients’ and Clinicians’ Needs;315
30.2.3;2.3 Phase 3. QoLSmile Monitoring Tool;316
30.2.4;2.4 Phase 4. Development and Evaluation of the RareBox App;317
30.2.5;2.5 Phase 5. The Evaluation of Accessibility, Usability: App Developer and User;320
30.3;3 Conclusion;323
30.4;References;323
31;A Cyber Secured IoT: Fostering Smart Living and Safety of Fragile Individuals in Intelligent Environments;325
31.1;1 Introduction;326
31.2;2 Needs to Be Addressed;326
31.3;3 Buildings, Sensors, and Internet of Things;327
31.4;4 Smart Buildings Solutions for Elderly and Disabled People;328
31.5;5 Conclusions;331
31.6;References;331
32;Fabrication of Flexible ALN Thin Film-Based Piezoelectric Pressure Sensor for Integration Into an Implantable Artificial Pancreas;333
32.1;1 Introduction;334
32.2;2 Results and Discussion;334
32.3;3 Conclusions;336
32.4;References;336
33;Facial Expression Recognition in Ageing Adults: A Comparative Study;338
33.1;1 Introduction;339
33.2;2 Methods;340
33.2.1;2.1 CNN Architecture;342
33.2.2;2.2 Handcrafted Features Approaches for FER in Ageing Adults;343
33.3;3 Results;344
33.4;4 Discussion and Conclusion;347
33.5;References;348
34;Physiological Wireless Sensor Network for the Detection of Human Moods to Enhance Human-Robot Interaction;349
34.1;1 Introduction;350
34.2;2 Related Work;350
34.3;3 Aim of the Work;352
34.4;4 Material and Method;352
34.4.1;4.1 Instruments;352
34.4.2;4.2 Experimental Protocol;353
34.4.3;4.3 Participants;355
34.4.4;4.4 Data Analysis;355
34.5;5 Results;359
34.6;6 Discussion and Conclusion;361
34.7;References;362
35;An Embedded Localization System for the SUMMIT IoT Multi-platform;365
35.1;1 Introduction;366
35.2;2 Architecture of the Localization System;367
35.2.1;2.1 The Measuring Protocol;367
35.3;3 Preliminary Results;369
35.4;References;371
36;Experiments, Evaluation and Lessons Learnt;373
37;Understanding the Interest Toward Smart Home Technology: The Role of Utilitaristic Perspective;374
37.1;1 Introduction;375
37.2;2 Method;376
37.2.1;2.1 Participants;376
37.2.2;2.2 Survey Protocol and Data Collection;377
37.2.3;2.3 Data Analysis;377
37.3;3 Results;379
37.3.1;3.1 Descriptive Statistics;379
37.3.2;3.2 Inferential Statistics;381
37.4;4 Discussion and Implications;384
37.5;5 Conclusion;386
37.6;References;387
38;Health360: An Open, Modular Platform for Multimodal Data Collection and AAL Monitoring;389
38.1;1 Introduction;389
38.2;2 Computerized Systems for Health and Care Data Collection;390
38.2.1;2.1 Filling in the Gaps: Health360;391
38.3;3 Applications of Health360 to Elderly People: AAL and Beyond;395
38.3.1;3.1 Biomedical Wearable Sensors;397
38.4;4 Conclusion;399
38.5;References;399
39;Assessment of Parkinson’s Disease At-home Using a Natural Interface Based System;402
39.1;1 Introduction;403
39.2;2 Patient Movement Analysis;404
39.2.1;2.1 System Setup;404
39.2.2;2.2 Human Computer Interface and Tracking of the Movement;405
39.2.3;2.3 Clinical Assessment and Data Acquisition;406
39.2.4;2.4 Movement Characterization by Kinematic Features;406
39.3;3 Experimental Results;407
39.3.1;3.1 Discriminant Parameters for Upper and Lower Limb UPDRS Tasks;407
39.3.2;3.2 Automatic Assessment by Machine Learning;410
39.4;4 Conclusions;411
39.5;References;411
40;Seniors’ Acceptance of Virtual Humanoid Agents;413
40.1;1 Introduction;414
40.2;2 Materials and Methods;416
40.2.1;2.1 Stimuli;416
40.2.2;2.2 Participants;417
40.2.3;2.3 Tools and Procedures;418
40.3;3 Results;419
40.3.1;3.1 Results on Agents’ Physical and Social Features, and Careers (Experiment 1);420
40.3.2;3.2 Results on Seniors’ Preferences on the Pragmatic, and Hedonic, Dimensions of the Proposed Interactive Systems (Experiment 2);421
40.4;4 Discussions and Conclusion;424
40.5;References;426
41;Human and Animal Welfare Assessment During Animal Assisted Interventions (AAI): A Pilot Project in Progress;428
41.1;1 Introduction;429
41.2;2 Pilot Project in Progress;430
41.2.1;2.1 Proposal Project Methodology;431
41.3;3 Conclusion;437
41.4;References;438
42;“Casa Amica”, Project for the Construction of a Social-Assistance Structure and a Social-Healthcare Unit C.R.I., to Be Used for the Reception of Elderly People with Disabilities;440
42.1;1 Description of Architectural Interventions;441
42.1.1;1.1 Preservability, Flexibility and Usability;442
42.1.2;1.2 Spaces for Individual and Collective Well-Being;443
42.1.3;1.3 Functional Identifiability, Rationality of Use;443
42.1.4;1.4 The Elimination of Architectural Barriers;445
42.1.5;1.5 Architectural Objectives;447
42.1.6;1.6 Accessibility to the Area;447
42.1.7;1.7 Integration with the Context and Reduction of Environmental Impact and Noise and Air Pollution;447
42.1.8;1.8 Use of Innovative Technologies and Use of Durable Materials;448
42.1.9;1.9 Use of Light;450
42.2;References;451
43;Architecture for Cooperative Interacting Robotic Systems Towards Assisted Living: A Preliminary Study;453
43.1;1 Introduction;454
43.2;2 Details of the Interacting Architecture;456
43.2.1;2.1 Software: ROS and Gazebo;456
43.2.2;2.2 Hardware: Wheelchair and Robotic Manipulator;458
43.3;3 Developed Algorithms;460
43.3.1;3.1 Localization and Navigation Algorithms for the Mobile Robotic System;460
43.3.2;3.2 Pick and Place Algorithm via Baxter Robot;461
43.3.3;3.3 Implementation Details;461
43.4;4 Simulation and Experimental Trials;462
43.4.1;4.1 Simulation Trial;463
43.4.2;4.2 Experimental Trial;464
43.5;5 Conclusions and Future Works;466
43.6;References;467
44;Personal Health E-Record—Toward an Enabling Ambient Assisted Living Technology for Communication and Information Sharing Between Patients and Care Providers;469
44.1;1 Introduction;469
44.2;2 PEHR Description and Functions;473
44.2.1;2.1 Target and Stakeholder;473
44.2.2;2.2 Functions;473
44.3;3 Other Solutions and Usability;478
44.4;4 Perspective, Conclusions and Future Developments;479
44.5;References;480
45;Seminal VOCs Analysis Investigating Sperm Quality Decline—New Studies to Improve Male Fertility Contrasting Population Ageing;482
45.1;1 Introduction;483
45.2;2 Methods;485
45.2.1;2.1 Semen Analysis;485
45.2.2;2.2 VOCs Extraction and Separation;485
45.2.3;2.3 Compound Identification and Data Analysis;486
45.3;3 Results;486
45.4;4 Discussion and Conclusion;488
45.5;References;489
46;MARIO Project: Validation in the Hospital Setting;490
46.1;1 Introduction;491
46.2;2 Materials and Methods;492
46.2.1;2.1 Diagnosis of Dementia, and Cognitive-Neuropsychiatric-Affective Assessment;493
46.2.2;2.2 Evaluation of Social Aspects and Resilience;494
46.2.3;2.3 Quality of Life and Caregiver Burden Level Assessment;494
46.2.4;2.4 Clinical Assessment;494
46.2.5;2.5 Acceptability and Usability Assessment;494
46.2.6;2.6 Statistical Analysis;495
46.3;3 Results;495
46.3.1;3.1 Pre-MARIO Interaction Outcomes;495
46.3.2;3.2 Post-MARIO Interaction Outcomes;496
46.4;4 Conclusion;499
46.5;References;500
47;Active Aging by Continuous Learning: A Training Environment for Cultural Visits;502
47.1;1 Introduction;503
47.2;2 Using AI to Personalize Lessons for Older Users;503
47.2.1;2.1 The LECTurE Learning Subsystem;505
47.2.2;2.2 On-Site Training;506
47.2.3;2.3 Distributed Training;507
47.3;3 The LECTurE System;507
47.3.1;3.1 Modeling the Students;508
47.3.2;3.2 Modeling the Lessons;509
47.4;4 The System Architecture;511
47.5;5 An example of LECTurE at work;512
47.6;6 Conclusions and Future Works;513
47.7;References;513
48;The TV-AssistDem Project: A TV-Based Platform for Coping with Mild Cognitive Impairment;515
48.1;1 Introduction;516
48.1.1;1.1 The TV-Assistdem Project Idea;517
48.2;2 User Requirements Elicitation;519
48.2.1;2.1 Method;519
48.2.2;2.2 Indications for Developers;522
48.3;3 The TV-AssistDem Platform: Architecture Design;524
48.4;4 Current Status and Conclusions;525
48.5;References;525
49;Author Index;527