HealthXAI: Collaborative and explainable AI for supporting early diagnosis of cognitive decline

E Khodabandehloo, D Riboni… - Future Generation …, 2021 - Elsevier
Our aging society claims for innovative tools to early detect symptoms of cognitive decline.
Several research efforts are being made to exploit sensorized smart-homes and artificial …

Detection of abnormal behaviour for dementia sufferers using Convolutional Neural Networks

D Arifoglu, A Bouchachia - Artificial intelligence in medicine, 2019 - Elsevier
In recent years, there is a rapid increase in the population of elderly people. However,
elderly people may suffer from the consequences of cognitive decline, which is a mental …

Identifying and monitoring the daily routine of seniors living at home

VR Chifu, CB Pop, D Demjen, R Socaci, D Todea… - Sensors, 2022 - mdpi.com
As the population in the Western world is rapidly aging, the remote monitoring solutions
integrated into the living environment of seniors have the potential to reduce the care burden …

Early anomaly detection in smart home: A causal association rule-based approach

S Hela, B Amel, R Badran - Artificial intelligence in medicine, 2018 - Elsevier
As the world's population grows older, an increasing number of people are facing health
issues. For the elderly, living alone can be difficult and dangerous. Consequently, smart …

A framework for detecting and analyzing behavior changes of elderly people over time using learning techniques

D Zekri, T Delot, M Thilliez, S Lecomte, M Desertot - Sensors, 2020 - mdpi.com
A sensor-rich environment can be exploited for elder healthcare applications. In this work,
our objective was to conduct a continuous and long-term analysis of elderly's behavior for …

The illusion of choice in discussing cybersecurity safeguards between older adults with mild cognitive impairment and their caregivers

HM Mentis, G Madjaroff, A Massey… - Proceedings of the ACM …, 2020 - dl.acm.org
Although continual online interaction is beneficial for an older adult with mild cognitive
impairment, cybersecurity risks can become more pronounced. Prior work has touted the …

A combination of visual and temporal trajectory features for cognitive assessment in smart home

S Zolfaghari, A Loddo, B Pes… - 2022 23rd IEEE …, 2022 - ieeexplore.ieee.org
The rapid increase of the elderly population and new advances in pervasive computing
technologies allow innovative tools and applications to support independent living for frail …

Activity recognition for anomalous situations detection

H Sfar, A Bouzeghoub - IRBM, 2018 - Elsevier
Background Living alone can be tough and risky for the elderly, typically, a fall can have
serious consequences for them. Consequently, smart homes are becoming more and more …

Using learning techniques to observe elderly's behavior changes over time in smart home

D Zekri, T Delot, M Desertot, S Lecomte… - The Impact of Digital …, 2020 - Springer
Smart environments and technology used for elder care, increases independent living time
and cuts long-term care costs. A key requirement for these systems consists in detecting and …

Detection of dementia-related abnormal behaviour using recursive auto-encoders

D Arifoglu, Y Wang, A Bouchachia - Sensors, 2021 - mdpi.com
Age-related health issues have been increasing with the rise of life expectancy all over the
world. One of these problems is cognitive impairment, which causes elderly people to have …