Artificial Intelligence methods to help measure sensory disorders : approaches and perspectives
Méthodes d’Intelligence Artificielle pour aider à mesurer les troubles sensoriels : démarches et perspectives
Résumé
The objective of this article is to present an approach aimed at
aiding and automating the diagnosis of sensory particularities. We
hypothesize that observing patient reactions using connected objects, combined with artificial intelligence, can objectively measure
these particularities over time. Based on the comparison of questionnaires traditionally used to establish a sensory profile, we propose
a meta-model that covers all possible sensory particularities in
an individual. Using this meta-model, a device composed of connected objects enabled us to identify each action and associate
them with a signature in the sensor signals. The benefits are numerous: contributing to the development of regular and frequent
profiles, assisting practitioners in considering the temporal variation of sensory profiles in their decision-making, and objectifying
the measurements.
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