Project
ASSESSMENT ZELFREDZAAMHEID
Continuous automatic evaluation of self-reliance
What
Using sensors and Artificial Intelligence or Machine Learning, we monitor and map the behavior of older people. This way we can detect and report incidental or gradual changes to the caregivers.
Goal
The goal of the research is to develop a method to perform the evaluation of the self-reliance of older people living alone in a continuous, automatic and non-intrusive way.
Non-intrusive research means that the researcher does not intervene. He uses sensors to capture certain behavior without any intervention from his or her side.
Relevance
Older people living alone are usually dependent on themselves for their Activities of Daily Living (ADL: cooking, hygiene, maintenance of the home, etc.). However, it is not always clear for caregivers, informal caregivers, family, etc. whether these ADL tasks can be performed correctly and whether the older person functions in a safe way (e.g. forgetting to turn off the gas fire, wandering behavior, etc.).
There exist (questioning) tools that screen this, but they come with disadvantages:
- They take time.
- Older people often forget to mention negative events or obstacles when performing the ADL or answer in a socially desirable way..
- The overview is only a snapshot.
To meet this need, the research aims to come up with a monitoring and mapping of the regular behavior of the elderly and then detect and report incidental or gradual changes to the formal and informal caregivers. The monitoring is done by non-intrusively installed sensors in the home (movement, electricity, water and gas use), the characterization of regular behavior and deviations from it is done by Machine Learning and Artificial Intelligence techniques.
Our role
The project is part of a doctoral study conducted at Mobilab & Care and the department of computer science at KU Leuven.
Publicaties
Document type
Title
Author
Date
Category
Link
Wetenschappelijk artikel
Use Of Wearable Technology To Quantify Fall Risk In Psychogeriatric Environments: A Feasability Study
Mertens M. , Raepsaet J., Debard G., Mondelaers M., Vanrumste B. and Davis J. 01/07/2019Explorative Study On Using Classification Of Electrical Appliances In Monitoring Systems: A Comparison Of Classifiers
Marc Mertens, Bart Vanrumste, Glen Debard and Jesse Davis 24/01/2019Types of sensor Technologies: Functionalities and measurements
Mertens, Marc; Demaesschalck, Lieven 01/01/2016Onderzoeker
Researcher
Glen Debard
Researcher committed to introducing technology in (mental) health care for young and old.
Related research lines