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Smart Homes and Health Telematics, Designing a Better Future: Urban Assisted Living

Overview of attention for book
Cover of 'Smart Homes and Health Telematics, Designing a Better Future: Urban Assisted Living'

Table of Contents

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    Book Overview
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    Chapter 1 Can Technology Improve Medication Adherence in Older People with Dementia?
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    Chapter 2 Human Centered Design Conception Applied to the Internet of Things: Contribution and Interest
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    Chapter 3 Designing a Product Service Platform for Older People: From Needs to Requirements
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    Chapter 4 Ativo: A Data Inspired Design Used to Manage Energy Expenditure for Heart Failure Patients
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    Chapter 5 Technological Approach for Early and Unobtrusive Detection of Possible Health Changes Toward More Effective Treatment
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    Chapter 6 Automatic Identification of Behavior Patterns in Mild Cognitive Impairments and Alzheimer’s Disease Based on Activities of Daily Living
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    Chapter 7 Activity Recognition by Classification Method for Weight Variation Measurement with an Insole Device for Monitoring Frail People
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    Chapter 8 Categorization of the Context Within the Medical Domain
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    Chapter 9 A Hybrid Framework for a Comprehensive Physical Activity and Diet Recommendation System
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    Chapter 10 A Personalized Health Recommendation System Based on Smartphone Calendar Events
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    Chapter 11 Testing a Model of Adoption and Continued Use of Personally Controlled Electronic Health Record (PCEHR) System Among Australian Consumers: A Preliminary Study
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    Chapter 12 Creating Smarter Spaces to Unleash the Potential of Health Apps
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    Chapter 13 A Dynamic Distributed Architecture for Preserving Privacy of Medical IoT Monitoring Measurements
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    Chapter 14 Telemedicine Collaboration in Cancer Treatment: A Case Study at Brazilian National Cancer Institute
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    Chapter 15 Evaluating Iris Scanning Technology to Link Data Related to Homelessness and Other Disadvantaged Populations with Mental Illness and Addiction
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    Chapter 16 Missing Information Prediction in Ripple Down Rule Based Clinical Decision Support System
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    Chapter 17 Study of Annotations in e-health Domain
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    Chapter 18 Users’ Perceptions and Attitudes Towards Smart Home Technologies
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    Chapter 19 USHEr: User Separation in Home Environment
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    Chapter 20 An Indoor Navigation System for the Visually Impaired Based on RSS Lateration and RF Fingerprint
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    Chapter 21 Specifying an MQTT Tree for a Connected Smart Home
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    Chapter 22 Deep Learning Model for Detection of Pain Intensity from Facial Expression
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    Chapter 23 Study of Critical Vital Signs Using Deep Learning
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    Chapter 24 Generation of Pure Trajectories for Continuous Movements in the Rehabilitation of Lower Member Using Exoskeletons
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    Chapter 25 Integration of Complex IoT Data with Case-Specific Interactive Expert Knowledge Feedback, for Elderly Frailty Prevention
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    Chapter 26 The Affective Respiration Device
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    Chapter 27 Exploring Individuals’ Perceptions on Personally Controlled Electronic Health Record System
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    Chapter 28 Understanding Individual Users’ Perspectives on the Personally Controlled Electronic Health Record (PCEHR) System: Results of Field Study
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    Chapter 29 Context-Based Lifelog Monitoring for Just-in-Time Wellness Intervention
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    Chapter 30 Assessment of a Smart Kitchen to Help People with Alzheimer’s Disease
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    Chapter 31 Detection of Untrustworthy IoT Measurements Using Expert Knowledge of Their Joint Distribution
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    Chapter 32 System for User Context Determination in a Network of IoT Devices
Overall attention for this book and its chapters
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Title
Smart Homes and Health Telematics, Designing a Better Future: Urban Assisted Living
Published by
Springer International Publishing, June 2018
DOI 10.1007/978-3-319-94523-1
ISBNs
978-3-31-994522-4, 978-3-31-994523-1
Editors

Mokhtari, Mounir, Abdulrazak, Bessam, Aloulou, Hamdi

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 11%
Unknown 16 89%
Readers by discipline Count As %
Business, Management and Accounting 1 6%
Computer Science 1 6%
Unknown 16 89%

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