Smart Assisted Living

<p>Part I: Sensing and Activity Monitoring </p>

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

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

<p>A Privacy-Preserving Wearable Camera Setup for Dietary Event Spotting in Free-Living<br>Giovanni Schiboni, Fabio Wasner, and Oliver Amft</p><p>Saving Energy on EMG-Monitoring Eyeglasses for Free-Living Eating Event Spotting Using Adaptive Duty-Cycling<br>Giovanni Schiboni and Oliver Amft<br></p><p></p>

Indoor Localisation with WiFi Fingerprinting Based on a Convolutional Neural Network<br>Zumin Wang<br><p></p><p></p>

<p>Unobtrusive Sensing to Assist with Post-Stroke Rehabilitation<br>Chris Nugent<br></p><p></p>

<p>Part II: Activity Recognition and Behaviour Analysis<br></p><p></p>

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

<p>Distributed Context Recognition, a Systematic Review<br>Umar Ahmad and Luis Lopera<br></p><p></p>

<p>Exercise Type Recognition Using Transfer Learning<br>Hossein Malekmohamadi<br></p><p></p>

<p>Meta-Intelligence for Behaviour Recognition<br>Xiaodong Liu and Qi Liu<br></p><p></p>

<p>Part III: User Needs and Personalisation<br></p><p></p>

<p>A Conceptual Framework for Adaptive User Interfaces for Older Adults<br>Eduardo Machado, Deepika Singhy, Federico Cruciani, Liming Chen, Sten Hankey, Fernando Salvago, Johannes Kropf, and Andreas Holzinger</p><p>Studying the Technological Barriers and Needs of People with Dementia: A Quantitative Study<br>Nikolaos Liappas, Rebeca Isabel García-Betances, José Gabriel Teriús-Padrón, and María Fernanda Cabrera-Umpiérrez<br></p><p></p>

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

<p>Part IV: Ambient Assisted Living Solutions<br></p><p></p>

<p>Towards Cognitive Assisted Living<br>Claudia Steinberger and Judith Michael</p>

<p>Towards Self-Management of Chronic Diseases in Smart Homes<br>José G. Teriús-Padrón, Georgios Kapidis, Sarah Fallmann, Erinc Merdivan, Sten Hanke, Rebeca I. García-Betances, and María Fernanda Cabrera-Umpiérrez</p><p>A Deep Learning Approach for Privacy Preservation in Assisted Living<br>Ismini Psychoula, Erinc Merdivany, Deepika Singhy, Liming Chen, Feng Chen, Sten Hankey, Johannes Kropfy, Andreas Holzingerx, and Matthieu Geist</p><p>Towards Socially Assistive Robots for the Elderly: An End-to-End Object Search Framework<br>Mohammad Reza Loghmani, Timothy Patten and Markus Vincze</p><p>Modelling Activities of Daily Living with Petri Nets<br>Matias Garcia-Constantino, Alexandros Konios and Chris Nugent<br></p><p></p>

<p>Calculus of Context-Aware Ambients for Assisted Living System Modelling<br>Francois Siewe</p>