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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    £75.99

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    RRP £79.99 – you save £4.00 (5%)

    Order before 4pm today for delivery by Sat 20 Jun 2026.

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

    15 in stock

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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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