Measuring Behaviour of People With Dementia Using a Non-Invasive Sensor Network-Reference-Cited by-同舟云学术

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Measuring Behaviour of People With Dementia Using a Non-Invasive Sensor Network

Published:2024-05-29 Issue: Volume: Page:339-343
ISSN:
Container-title:2024 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0 & IoT)
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Author:

Morresi Nicole¹,Marconi Fabrizio²,Stolwijk Nathalie³,Tombolini Giorgio²,Barbarossa Federico⁴,Bevilacqua Roberta⁴,Nap Henk Herman³,Marco Revel Gian¹,Casaccia Sara¹

Affiliation:

1. Università Politecnica Delle Marche,Department of Industrial Engineering and Mathematical Sciences,Ancona,Italy

2. Jef SRL Civitanova,Marche,Italy

3. Vilans – National Expertise Centre on Long-Term Care,Utrecht,The Netherlands

4. IRCCS INRCA Scientific Direction,Ancona,Italy

Funder

Health

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10584107/10584118/10584225.pdf?arnumber=10584225

Reference6 articles.

1. Remote Assessment of Cognitive Impairment Level Based on Serious Mobile Game Performance: An Initial Proof of Concept

2. Machine learning algorithms for the activity monitoring of elders by home sensor network

3. Design, development, and usability evaluation of a dashboard for supporting formal caregivers in managing people with dementia.

4. Heterogeneous sensor network for the measurement of dementia progression and well-being: preliminary study

5. Assessment of normal and abnormal behaviour of people with dementia in living environment through non-invasive sensors and unsupervised AI

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