One of the challenges in treating patients with mental disabilities is whether the patients have eaten too much or not enough, especially if they are living alone. In this context, when assistive techniques to identify meal taking are used, they should be without ethical conflict.
Subsequently, depending on the identification results of meal intake, the patients monitored should be tempted to influence them to stop eating or, on the contrary, to encourage them to eat more.
To meet this challenge, the objective of this thesis is to propose a methodology without conflict related to ethics, of automatic detection of meal intake. To this end, a new approach is proposed as well as an automatic procedure that uses computer programs using artificial intelligence to influence meal intake.
This new approach was tested on volunteers (ETS students) in order to get feedback and improve the proposed solution.
During this thesis, a computer application, which continuously monitors meal-taking activity, was therefore tested to consider a potentially commercial version.
| Date | 7 Jul 2022 |
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| Original language | French |
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| Awarding Institution | - École de technologie supérieure
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| Supervisor | Mickaël Gardoni (Supervisor), Jean Renaud (Co-supervisor) & Serge Gauthier (Co-supervisor) |
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Nour, M. (Author),
Gardoni (Supervisor), Renaud (Co-supervisor) & Gauthier (Co-supervisor),
7 Jul 2022Student thesis: Doctoral thesis › Doctorate in Engineering: Engineering