The challenge of real-time multi-agent systems for enabling IoT and CPS

D Calvaresi, M Marinoni, A Sturm… - Proceedings of the …, 2017 - dl.acm.org
Techniques originating from the Internet of Things (IoT) and Cyber-Physical Systems (CPS)
areas have extensively been applied to develop intelligent and pervasive systems such as …

An exploration of usability issues in telecare monitoring systems and possible solutions: a systematic literature review

N Saeed, M Manzoor, P Khosravi - Disability and Rehabilitation …, 2020 - Taylor & Francis
Background: The idea of product usability has been discussed in several research areas
including product research and development. Usability, in telecare monitoring systems …

Real-time multi-agent systems for telerehabilitation scenarios

D Calvaresi, M Marinoni, AF Dragoni, R Hilfiker… - Artificial intelligence in …, 2019 - Elsevier
Telerehabilitation in older adults is most needed in the patient environments, rather than in
formal ambulatories or hospitals. Supporting such practices brings significant advantages to …

Agent-based systems for telerehabilitation: strengths, limitations and future challenges

D Calvaresi, M Schumacher, M Marinoni… - Agents and Multi-Agent …, 2017 - Springer
Telerehabilitation in older adults is most needed in the patient environments, rather than in
formal ambulatories or hospitals. Supporting such practices brings significant advantages to …

A limb tracking platform for tele-rehabilitation

P Buonocunto, A Giantomassi, M Marinoni… - ACM Transactions on …, 2018 - dl.acm.org
The adoption of motor-rehabilitative therapies is highly demanded in a society where the
average age of the population is constantly increasing. A recent trend to contain costs while …

Adaptive, multisensorial, physiological and social: the next generation of telerehabilitation systems

E Navarro, P González, V López-Jaquero… - Frontiers in …, 2018 - frontiersin.org
Some people require special treatments for rehabilitating physical, cognitive or even social
capabilities after an accident or degenerative illness. However, the ever-increasing costs of …

[PDF][PDF] A Knowledge Extraction Pipeline between Supervised and Unsupervised Machine Learning Using Gaussian Mixture Models for Anomaly Detection.

R Chefira, S Rakrak - J. Comput. Sci. Eng., 2021 - jcse.kiise.org
This paper presents a new approach to design a decision support model with suitability
across various contexts, and in particular for the Internet of Things. It provides an anomaly …

Enhancing decision making through combined classification techniques and probabilistic data analysis for ubiquitous healthcare anomaly monitoring

R Chefira, S Rakrak - Applied Sciences, 2019 - mdpi.com
A multi-agent data-analytics-based approach to ubiquitous healthcare monitoring is
presented in this paper. The proposed architecture gathers a patient's vital data using …

Review on Attributes and Device-Designing Technologies on Sensors (Chemical, Biochemical, Nano-and Bionanosensors): History, Importance, Key Challenges, and …

V Dawane, JK Himnashu, P Kumar… - Metal Oxide–Based …, 2024 - taylorfrancis.com
The development of a device that can determine the analyte/chemicals in a particular
medium within the limits in a precise, sensitive and reproducible manner is a great …

[PDF][PDF] Using a virtual environment to test a mobile app for the Ambient Assisted Living

P Calvaresi, AF Dragoni, M Pierdicca… - CEUR Workshop …, 2015 - u-pad.unimc.it
In recent years the number of ICT-based solutions for the Ambient/Active Assisted Living
(AAL) has grown continuously. Such technologies need to be validated before being used …