Automatic Video Monitoring system for assessment of Alzheimer's Disease symptoms

Rim Romdhane (1) , Emmanuel Mulin (2) , Alexandre Derreumeaux (2) , Nadia Zouba (1) , Julie Piano (2, 3) , L. Lee (2, 3) , Patrick Mallea (4) , Monique Thonnat (1) , Francois Bremond (1) , Philippe Robert (2) , I. Leroi (5) , Renaud David (2)

1 PULSAR - Perception Understanding Learning Systems for Activity Recognition
2 CMRR Nice - Centre Mémoire de Ressources et de Recherche [Nice]
3 CIU-Santé - Centre d'Innovation et d'Usage en Santé
4 CNR-Santé - Centre National de Référence Santé à Domicile et Autonomie
5 Lancashire NHS Foundation Trust

In order to fully capture the complexity of the behavioural, functioning and cognitive disturbances in Alzheimer Disease (AD) and related disorders information and communication techniques (ICT), could be of interest. This article presents using 3 clinical cases the feasibility results of an automatic video monitoring system aiming to assess subjects involved in a clinical scenario.

Domaines: Vision par ordinateur et reconnaissance de formes [cs.CV]

Rim Romdhane, Emmanuel Mulin, Alexandre Derreumeaux, Nadia Zouba, Julie Piano, et al.. Automatic Video Monitoring system for assessment of Alzheimer's Disease symptoms. Journal of Nutrition, Health & Aging, 2011. ⟨inria-00616747⟩