Mobile phone use by people with mild to moderate dementia: uncovering challenges and identifying opportunities: mobile phone use by people with mild to moderate …

E Dixon, R Michaels, X **ao, Y Zhong, P Clary… - Proceedings of the 24th …, 2022 - dl.acm.org
With the rising usage of mobile phones by people with mild dementia, and the documented
barriers to technology use that exist for people with dementia, there is an open opportunity to …

Are smart homes adequate for older adults with dementia?

G Chimamiwa, A Giaretta, M Alirezaie, F Pecora… - Sensors, 2022 - mdpi.com
Smart home technologies can enable older adults, including those with dementia, to live
more independently in their homes for a longer time. Activity recognition, in combination with …

[HTML][HTML] Multi-sensor dataset of human activities in a smart home environment

G Chimamiwa, M Alirezaie, F Pecora, A Loutfi - Data in Brief, 2021 - Elsevier
Time series data acquired from sensors deployed in smart homes present valuable
information for intelligent systems to learn activity patterns of occupants. With the increasing …

[HTML][HTML] Analyzing entropy features in time-series data for pattern recognition in neurological conditions

Y Huang, Y Zhao, A Capstick, F Palermo… - Artificial Intelligence in …, 2024 - Elsevier
In the field of medical diagnosis and patient monitoring, effective pattern recognition in
neurological time-series data is essential. Traditional methods predominantly based on …

A virtual caregiver for assisted daily living of pre-frail users

J Renoux, M Luperto, N Basilico, M Romeo… - KI 2020: Advances in …, 2020 - Springer
As Europe sees its population aging dramatically, Assisted Daily Living for the elderly
becomes a more and more important and relevant research topic. The Movecare Project …

Evaluation of machine learning on smart home data for prediction of electrical energy consumption

MH Widianto, AAS Gunawan, Y Heryadi… - 2023 International …, 2023 - ieeexplore.ieee.org
Electrical energy consumption is always increasing, and this causes the supply of electrical
energy to be increased to compensate. One solution is to predict electricity energy …

Indoor Intelligent IoT Datasets for Behavioral Learning and Autonomous Decision Making

H Ye, H Luo - 2022 IEEE Intl Conf on Parallel & Distributed …, 2022 - ieeexplore.ieee.org
The current indoor Internet of Things (IoT) system is mainly realized by presetting rules,
voice interaction, or remote control, which fails to meet the need for systematic, global, and …

Investigating the Use of Everyday Technology and Ways to Improve Its Accessibility for People with Mild to Moderate Dementia

EE Dixon - 2022 - search.proquest.com
Individuals living with dementia experience changes in their cognitive, motor, and sensory
abilities. These changes in ability invariably affect the way people with dementia use …

Explaining Habits and Changes of Activities in Smart Homes

H Banaee, G Chimamiwa, M Alirezaie… - Artificial Intelligence for …, 2020 - diva-portal.org
Early cognitive deterioration can emerge in the form of changes in the daily habits and there
is a need to go beyond activity recognition for recognising habits and detecting changes in …