Towards an automatic recommendation system to well-being for elderly based on augmented reality

Accordingly to the National Population Council (CONAPO) in Mexico, people over 60 years old are equivalent to 10% of the population [1]. This age is considered the beginning of the older adult stage, and by 2050 there will be an inevitable generational transition where older adults will represent 21.5% of the Mexican population. One of the most common diseases of this sector is cognitive impairment or dementia, being Alzheimer's Disease (AD) the most common with 60% of cases. AD causes depression and negative emotional states that impact the physical, mental and social health of adults and their families. Advances in artificial intelligence have proven to approach and understand human behavior and their emotional state under different circumstances. In this paper, we propose an Augmented Reality based strategy for measuring different emotional states of older adults. By interacting with multimedia content (audios, photos, and videos) we are laying the foundations for the creation of an intelligent platform that detects the negative emotional state and issues multimedia recommendations based on tastes customized to move the patient to a positive emotional state.