Abstract

Recent studies show that the elderly population has increased considerably in European society in recent years. This fact has led the European Union and many countries to propose new policies for caring services directed to this group. The current trend is to promote the care of the elderly in their own homes, thus avoiding inverting resources on residences. With this in mind, there are now new solutions in this direction, which try to make use of the continuous advances in computer science. This paper tries to advance in this area by proposing the use of a personal assistant to help older people at home while carrying out their daily activities. The proposed personal assistant is called ME3CA, and can be described as a cognitive assistant that offers users a personalised exercise plan for their rehabilitation. The system consists of a sensorisation platform along with decision-making algorithms paired with emotion detection models. ME3CA detects the users’ emotions, which are used in the decision-making process allowing for more precise suggestions and an accurate (and unbiased) knowledge about the users’ opinion towards each exercise.

Highlights

  • The current trend in our society is for elderly people to surpass the number of births [1]

  • To overcome all of these issues, this paper presents ME3 CA, a personal assistant whose goal is to plan and recommend activities to older people who are trying to improve their physical activity

  • The social goal is to maintain the elderly people in the comfort of their own homes, avoiding moving them to dedicated facilities, and to closely monitor their health condition forecasting possible critical problems and acting proactively

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Summary

Introduction

The current trend in our society is for elderly people (over 65 years) to surpass the number of births [1]. Soon the population will find difficulties to receive social assistance for the elderly This would be mainly due to the lack of funds for the decrease in the number of people who are available to contribute monetarily to the society. The social goal is to maintain the elderly people in the comfort of their own homes, avoiding moving them to dedicated facilities, and to closely monitor their health condition forecasting possible critical problems and acting proactively. This project contributes to the state of art by introducing emotional monitoring in relation to physical activities.

Related Work
System Description
Hardware Description
Software Description
Emotion Recognition Validation
System Evaluation
Findings
Conclusions and Future Work
Full Text
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