A hybrid matchmaking approach in the ambient assisted living domain

Abstract

During the recent years, several new Information and Communication Technology solutions have been developed in order to meet the increasing needs of elderly with cognitive impairments and support their autonomous living. Most of these solutions follow a human-centred paradigm that aims to provide users with personalised services according to their needs by also ensuring their safety with mechanisms that can automatically trigger appropriate actions in situations where there may be a risk for an elderly. The present paper presents a hybrid matchmaking approach that uses efficiently both a rule-based and a statistical matchmaker in order to (a) propose ambient assisted living services to the end-users, based on their role, status and context of use and (b) identify and resolve problematic cases by automatically selecting the most proper set of services to be called in a single or combined manner.

Developing a pragmatic evaluation of ICTs for older adults with cognitive impairment at scale: the IN LIFE experience

“…3 Mean EQ-5D index per condition (overall) Fig. 4 Daily activities in treatment phase the pilot phase, the scores increased significantly (p = 0.001). We also examined the cognitive scores of the participants in the baseline and pilot conditions.…”

“…The Independent Living Functions for Elderly (IN LIFE) project was established to integrate a collection of ICT services within an interoperable, open, personalised platform to empower older adults with cognitive impairment to maintain independence [4]. Recognising the breadth of activities older adults wish to carry out, the IN LIFE platform addresses a wide range of activities including those within the home, travel outside the home, communication, health maintenance, mobility and socialisation alongside caregiving.…”

A Two-Phase Machine Learning Framework for Context-Aware Service Selection to Empower People with Disabilities

“…Service selection can be achieved in a myriad of environments, such as IoT [ 10 , 11 ], cloud infrastructure [ 12 ], and ambient and elderly assisted living [ 21 , 22 ]. The authors of [ 10 ] presented a study to compare and analyze service selection strategies classified as centralized, decentralized, and hybrid.…”

“…The service selection process is non-trivial when the context and requirements are difficult to determine, e.g., people with disabilities. Therefore, researchers have devised various approaches for people with disabilities and for different environments, e.g., ambient assisted living [ 21 ], older adults [ 22 ], IoT [ 23 , 24 ], handicapped or elderly people [ 25 ], IoT and smart cities [ 26 , 27 ], and virtual education [ 28 ]. In a recent study [ 21 ], the authors presented an autonomous solution for service selection to assist elderly people in emergencies.…”

“…Therefore, researchers have devised various approaches for people with disabilities and for different environments, e.g., ambient assisted living [ 21 ], older adults [ 22 ], IoT [ 23 , 24 ], handicapped or elderly people [ 25 ], IoT and smart cities [ 26 , 27 ], and virtual education [ 28 ]. In a recent study [ 21 ], the authors presented an autonomous solution for service selection to assist elderly people in emergencies. One or more services are selected automatically using predetermined semantic rules and statistical algorithms applied to the contextual information related to user needs or preferences.…”