Real-Time Detection of Eating Activity in Elderly People with Dementia Using Face Alignment and Facial Landmarks

Abstract

The aim of this research is to automatically detect the intake of meals for elderly people with dementia living alone by using the product lifecycle management concepts (PLM). We use it to create a service based on an Artificial Intelligence product which will reduce the need for a caregiver or a person as medical support, hence less travel (Co2, etc.), less time spent by a third party on a verification/monitoring task, greater autonomy and therefore improve quality of life. Thus, overall, for society, this service based on an AI product is a win-win approach for pollution and an increase in the value of the tasks of the caregiver and the person as a medical support.

The choice of appropriate AI assistive technology was done to satisfy both the elderly people with neurodegenerative disorders and the caregiver, to verify the ethical aspect, simplify design, optimize code and improve user friendly aspects. During all this process of design of the new service based on an AI product, the PLM concepts were fruitfully applied by involving the different experts concerned (medical, ethical, technological, etc.) and taking into account all the characteristics of the environment of the product from the beginning to the end.