Recognition of activities of daily living in natural “at home” scenario for assessment of Alzheimer's disease patients
Buso, Vincent, Hopper, LouiseORCID: 0000-0002-9382-5241, Benois-Pineau, Jenny, Plans, Pierre-Marie and Megret, Remi
(2015)
Recognition of activities of daily living in natural “at home” scenario for assessment of Alzheimer's disease patients.
In: IEEE International Conference on Multimedia & Expo (ICME), 29 Jun - 3 Jul 2015, Torino, Italy.
In this paper we tackle the problem of Instrumental Activities of Daily Living (IADLs) recognition from wearable videos in a Home Clinical scenario. The aim of this research is to provide an accessible and yet detailed video-based navigation interface of patients with dementia/Alzheimer disease to doctors and caregivers. A joint work between a memory clinic and computer vision scientists enabled studying real-case life scenarios of a dyad couple consisting of a caregiver and patient with Alzheimer. As a result of this collaboration, a new @Home, real-life video dataset was recorded, from which a truly relevant taxonomy of activities was extracted. Following a state of the art Activity Recognition framework we further studied and assessed these IADLs in term of recognition performances with different calibration approaches.