Description

Book Synopsis

Smart Homes (SH) offer a promising approach to assisted living for the ageing population. Yet the main obstacle to the rapid development and deployment of Smart Home (SH) solutions essentially arises from the nature of the SH field, which is multidisciplinary and involves diverse applications and various stakeholders. Accordingly, an alternative to a one-size-fits-all approach is needed in order to advance the state of the art towards an open SH infrastructure.

This book makes a valuable and critical contribution to smart assisted living research through the development of new effective, integrated, and interoperable SH solutions. It focuses on four underlying aspects: (1) Sensing and Monitoring Technologies; (2) Context Interference and Behaviour Analysis; (3) Personalisation and Adaptive Interaction, and (4) Open Smart Home and Service Infrastructures, demonstrating how fundamental theories, models and algorithms can be exploited to solve real-world problems.

This comprehensive and timely book offers a unique and essential reference guide for policymakers, funding bodies, researchers, technology developers and managers, end users, carers, clinicians, healthcare service providers, educators and students, helping them adopt and implement smart assisted living systems.



Table of Contents

Part I: Sensing and Activity Monitoring

Multi-Resident Activity Monitoring in Smart Homes Through Non-Wearable Non-Intrusive Sensors
Son N. Tran and Qing Zhang and Vanessa Smallbon and Mohan Karunanithi

Where Am I? Comparing CNN and LSTM for Location Classification in Egocentric Videos
Georgios Kapidis, Ronald W. Poppe, Elsbeth A. van Dam, Remco C. Veltkamp, and Lucas P. J. J. Noldus

A Privacy-Preserving Wearable Camera Setup for Dietary Event Spotting in Free-Living
Giovanni Schiboni, Fabio Wasner, and Oliver Amft

Saving Energy on EMG-Monitoring Eyeglasses for Free-Living Eating Event Spotting Using Adaptive Duty-Cycling
Giovanni Schiboni and Oliver Amft

Indoor Localisation with WiFi Fingerprinting Based on a Convolutional Neural Network
Zumin Wang

Unobtrusive Sensing to Assist with Post-Stroke Rehabilitation
Chris Nugent

Part II: Activity Recognition and Behaviour Analysis

Energy-Based Decision Engine for Household Human Activity Recognition
Anastasios Vafeiadis, Thanasis Vafeiadis, Stelios Zikos, Stelios Krinidis, Konstantinos Votis, Dimitrios Giakoumis, Dimosthenis Ioannidis, Dimitrios Tzovaras, Liming Chen, and Raouf Hamzaoui

Distributed Context Recognition, a Systematic Review
Umar Ahmad and Luis Lopera

Exercise Type Recognition Using Transfer Learning
Hossein Malekmohamadi

Meta-Intelligence for Behaviour Recognition
Xiaodong Liu and Qi Liu

Part III: User Needs and Personalisation

A Conceptual Framework for Adaptive User Interfaces for Older Adults
Eduardo Machado, Deepika Singhy, Federico Cruciani, Liming Chen, Sten Hankey, Fernando Salvago, Johannes Kropf, and Andreas Holzinger

Studying the Technological Barriers and Needs of People with Dementia: A Quantitative Study
Nikolaos Liappas, Rebeca Isabel García-Betances, José Gabriel Teriús-Padrón, and María Fernanda Cabrera-Umpiérrez

Adaptive Service Robot Behaviours Based on User Mood: Towards Better Personalized Support of MCI Patients at Home
Dimitrios Giakoumis, Georgia Peleka, Manolis Vasileiadis, Ioannis Kostavelis, and Dimitrios Tzovaras

Part IV: Ambient Assisted Living Solutions

Towards Cognitive Assisted Living
Claudia Steinberger and Judith Michael

Towards Self-Management of Chronic Diseases in Smart Homes
José G. Teriús-Padrón, Georgios Kapidis, Sarah Fallmann, Erinc Merdivan, Sten Hanke, Rebeca I. García-Betances, and María Fernanda Cabrera-Umpiérrez

A Deep Learning Approach for Privacy Preservation in Assisted Living
Ismini Psychoula, Erinc Merdivany, Deepika Singhy, Liming Chen, Feng Chen, Sten Hankey, Johannes Kropfy, Andreas Holzingerx, and Matthieu Geist

Towards Socially Assistive Robots for the Elderly: An End-to-End Object Search Framework
Mohammad Reza Loghmani, Timothy Patten and Markus Vincze

Modelling Activities of Daily Living with Petri Nets
Matias Garcia-Constantino, Alexandros Konios and Chris Nugent

Calculus of Context-Aware Ambients for Assisted Living System Modelling
Francois Siewe

Smart Assisted Living: Toward An Open Smart-Home Infrastructure

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A Paperback by Feng Chen, Rebeca I. García-Betances, Liming Chen

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    View other formats and editions of Smart Assisted Living: Toward An Open Smart-Home Infrastructure by Feng Chen

    Publisher: Springer Nature Switzerland AG
    Publication Date: 28/08/2020
    ISBN13: 9783030255923, 978-3030255923
    ISBN10: 3030255921

    Description

    Book Synopsis

    Smart Homes (SH) offer a promising approach to assisted living for the ageing population. Yet the main obstacle to the rapid development and deployment of Smart Home (SH) solutions essentially arises from the nature of the SH field, which is multidisciplinary and involves diverse applications and various stakeholders. Accordingly, an alternative to a one-size-fits-all approach is needed in order to advance the state of the art towards an open SH infrastructure.

    This book makes a valuable and critical contribution to smart assisted living research through the development of new effective, integrated, and interoperable SH solutions. It focuses on four underlying aspects: (1) Sensing and Monitoring Technologies; (2) Context Interference and Behaviour Analysis; (3) Personalisation and Adaptive Interaction, and (4) Open Smart Home and Service Infrastructures, demonstrating how fundamental theories, models and algorithms can be exploited to solve real-world problems.

    This comprehensive and timely book offers a unique and essential reference guide for policymakers, funding bodies, researchers, technology developers and managers, end users, carers, clinicians, healthcare service providers, educators and students, helping them adopt and implement smart assisted living systems.



    Table of Contents

    Part I: Sensing and Activity Monitoring

    Multi-Resident Activity Monitoring in Smart Homes Through Non-Wearable Non-Intrusive Sensors
    Son N. Tran and Qing Zhang and Vanessa Smallbon and Mohan Karunanithi

    Where Am I? Comparing CNN and LSTM for Location Classification in Egocentric Videos
    Georgios Kapidis, Ronald W. Poppe, Elsbeth A. van Dam, Remco C. Veltkamp, and Lucas P. J. J. Noldus

    A Privacy-Preserving Wearable Camera Setup for Dietary Event Spotting in Free-Living
    Giovanni Schiboni, Fabio Wasner, and Oliver Amft

    Saving Energy on EMG-Monitoring Eyeglasses for Free-Living Eating Event Spotting Using Adaptive Duty-Cycling
    Giovanni Schiboni and Oliver Amft

    Indoor Localisation with WiFi Fingerprinting Based on a Convolutional Neural Network
    Zumin Wang

    Unobtrusive Sensing to Assist with Post-Stroke Rehabilitation
    Chris Nugent

    Part II: Activity Recognition and Behaviour Analysis

    Energy-Based Decision Engine for Household Human Activity Recognition
    Anastasios Vafeiadis, Thanasis Vafeiadis, Stelios Zikos, Stelios Krinidis, Konstantinos Votis, Dimitrios Giakoumis, Dimosthenis Ioannidis, Dimitrios Tzovaras, Liming Chen, and Raouf Hamzaoui

    Distributed Context Recognition, a Systematic Review
    Umar Ahmad and Luis Lopera

    Exercise Type Recognition Using Transfer Learning
    Hossein Malekmohamadi

    Meta-Intelligence for Behaviour Recognition
    Xiaodong Liu and Qi Liu

    Part III: User Needs and Personalisation

    A Conceptual Framework for Adaptive User Interfaces for Older Adults
    Eduardo Machado, Deepika Singhy, Federico Cruciani, Liming Chen, Sten Hankey, Fernando Salvago, Johannes Kropf, and Andreas Holzinger

    Studying the Technological Barriers and Needs of People with Dementia: A Quantitative Study
    Nikolaos Liappas, Rebeca Isabel García-Betances, José Gabriel Teriús-Padrón, and María Fernanda Cabrera-Umpiérrez

    Adaptive Service Robot Behaviours Based on User Mood: Towards Better Personalized Support of MCI Patients at Home
    Dimitrios Giakoumis, Georgia Peleka, Manolis Vasileiadis, Ioannis Kostavelis, and Dimitrios Tzovaras

    Part IV: Ambient Assisted Living Solutions

    Towards Cognitive Assisted Living
    Claudia Steinberger and Judith Michael

    Towards Self-Management of Chronic Diseases in Smart Homes
    José G. Teriús-Padrón, Georgios Kapidis, Sarah Fallmann, Erinc Merdivan, Sten Hanke, Rebeca I. García-Betances, and María Fernanda Cabrera-Umpiérrez

    A Deep Learning Approach for Privacy Preservation in Assisted Living
    Ismini Psychoula, Erinc Merdivany, Deepika Singhy, Liming Chen, Feng Chen, Sten Hankey, Johannes Kropfy, Andreas Holzingerx, and Matthieu Geist

    Towards Socially Assistive Robots for the Elderly: An End-to-End Object Search Framework
    Mohammad Reza Loghmani, Timothy Patten and Markus Vincze

    Modelling Activities of Daily Living with Petri Nets
    Matias Garcia-Constantino, Alexandros Konios and Chris Nugent

    Calculus of Context-Aware Ambients for Assisted Living System Modelling
    Francois Siewe

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