Smart Assisted Living

TRAMA

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.

SOMMARIO

Part I: Sensing and Activity Monitoring Multi-Resident Activity Monitoring in Smart Homes Through Non-Wearable Non-Intrusive SensorsSon N. Tran and Qing Zhang and Vanessa Smallbon and Mohan Karunanithi Where Am I? Comparing CNN and LSTM for Location Classification in Egocentric VideosGeorgios 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-LivingGiovanni Schiboni, Fabio Wasner, and Oliver AmftSaving Energy on EMG-Monitoring Eyeglasses for Free-Living Eating Event Spotting Using Adaptive Duty-CyclingGiovanni Schiboni and Oliver Amft Indoor Localisation with WiFi Fingerprinting Based on a Convolutional Neural NetworkZumin Wang Unobtrusive Sensing to Assist with Post-Stroke RehabilitationChris Nugent Part II: Activity Recognition and Behaviour Analysis Energy-Based Decision Engine for Household Human Activity RecognitionAnastasios 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 ReviewUmar Ahmad and Luis Lopera Exercise Type Recognition Using Transfer LearningHossein Malekmohamadi Meta-Intelligence for Behaviour RecognitionXiaodong Liu and Qi Liu Part III: User Needs and Personalisation A Conceptual Framework for Adaptive User Interfaces for Older AdultsEduardo Machado, Deepika Singhy, Federico Cruciani, Liming Chen, Sten Hankey, Fernando Salvago, Johannes Kropf, and Andreas HolzingerStudying the Technological Barriers and Needs of People with Dementia: A Quantitative StudyNikolaos 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 HomeDimitrios Giakoumis, Georgia Peleka, Manolis Vasileiadis, Ioannis Kostavelis, and Dimitrios Tzovaras Part IV: Ambient Assisted Living Solutions Towards Cognitive Assisted LivingClaudia Steinberger and Judith Michael Towards Self-Management of Chronic Diseases in Smart HomesJosé G. Teriús-Padrón, Georgios Kapidis, Sarah Fallmann, Erinc Merdivan, Sten Hanke, Rebeca I. García-Betances, and María Fernanda Cabrera-UmpiérrezA Deep Learning Approach for Privacy Preservation in Assisted LivingIsmini Psychoula, Erinc Merdivany, Deepika Singhy, Liming Chen, Feng Chen, Sten Hankey, Johannes Kropfy, Andreas Holzingerx, and Matthieu GeistTowards Socially Assistive Robots for the Elderly: An End-to-End Object Search FrameworkMohammad Reza Loghmani, Timothy Patten and Markus VinczeModelling Activities of Daily Living with Petri NetsMatias Garcia-Constantino, Alexandros Konios and Chris Nugent Calculus of Context-Aware Ambients for Assisted Living System ModellingFrancois Siewe

AUTORE

Dr Feng Chen is a Senior Lecturer at the School of Computer Science and Informatics, De Montfort University. Dr Rebeca I García-Betances is a Senior Researcher in the Life Supporting Technologies Group at the Technical University of Madrid. Prof María Fernanda Cabrera-Umpiérrez is an Associate Professor at the Telecommunication School, Technical University of Madrid. Prof Liming Chen is a Chair Professor of Computer Science at De Montfort University, where he leads the Context, Intelligence and Interaction Research Group (CIIRG). Prof Chris Nugent is a Professor of Biomedical Engineering and Head of the School of Computing at Ulster University, where he also leads the Pervasive Computing Research Group and is Co-Principal Investigator at the Connected Health Innovation Centre.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9783030255923
• Collana: Computer Communications and Networks
• Dimensioni: 235 x 155 mm Ø 539 gr
• Formato: Brossura
• Illustration Notes: X, 342 p. 102 illus., 81 illus. in color.
• Pagine Arabe: 342
• Pagine Romane: x