[2022-2024]

PIDI/CISeD/2022/009 • Autonomous Food Plan Adaption

[CDS] Connected Digital Society, concluído, interno, nacional, não competitivo, não financiado, viseu /

Principal Researcher:
Carlos Augusto da Silva Cunha
Duration: 2022 – 2024

Cised team members
Rui Pedro Amaro Duarte

The alignment of nutrition requirements with food plan creation, follow-up, and adjustment, demands the regular gathering of biometrics, food intake habits, physical activity, and energy consumption data. Analyzing these data in the context of individual objective accomplishment provides the feedback for dynamic adjustment of food plans required to build a nutrition control system. The introduction of sensors for data-gathering activities coupled with artificial intelligence algorithms for creating personalized models has transformed nutrition into an autonomous process that can be realized without or with the minimum intervention of the nutritionist. This process is based on a person’s data with a broader spectrum than those proportioned by the follow-up of traditional nutrition. For that reason, it is potentially also more effective. Also, data availability enables food plan adjustment in shorter cycles, helping reduce the time required to meet individual objectives. This project aims to develop a nutrition control system based on data gathered by sensors (e.g., smartwatches and smart scales) for dynamic food plan adjustment, using machine learning and deep learning algorithms.

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PIDI/CISeD/2022/007 • Modelos de Machine Learning para Deteção de Padrões e Preferências Alimentares

[DDSS] Digital Decision Support Systems, concluído, interno, nacional, não competitivo, não financiado, viseu /

Principal Researcher: Rui Pedro Duarte
Duration: 2022 – 2024

Cised team members
Carlos Augusto da Silva Cunha
Ricardo Luís da Costa Gama

Food assumes an increasingly important role in people's lives, and adequate nutrition associated with a healthy lifestyle increases the average life expectancy. To this end, there has been an increase in the number of people whom nutritionists are following to have a food plan suited to their needs, which vary according to each person's goals: from the purely aesthetic component, through the improvement of the quality of life, for professional reasons (such as sportsmen or high competition athletes), even people with special needs, in which a correct diet impacts on the aggravation of previously diagnosed diseases. There are, however, some associated problems that can impact noncompliance with a previously defined meal plan. One of them is defining a food plan made up of foods people don't like. The other relates to real-time notification of the nutritionist of the correct fulfilment of the plan in terms of the proper intake of recommended macronutrients in each meal of the food plan.

Regarding the first, the combination of foods is a factor mainly linked to people's preferences, far beyond the rules of food combinations recommended by nutritionists. Thus, patterns for each individual may vary over time and as a function of other conditions (e.g., temperature, season). People's sensitivity to these combinations is one of the factors responsible for abandoning eating plans and not matching their food tastes. With this work, we intend to develop an Artificial Intelligence model to detect food patterns to adapt a food plan defined by a nutritionist in an evolutionary way and in real-time to allow the correct management of the plan. Thus, it becomes possible to provide a better quality of life to people who need to define food plans in various types of contexts.

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PIDI/CISeD/2022/006 • STORYTur – O uso do storytelling em vídeos promocionais turísticos

[CDS] Connected Digital Society, concluído, interno, nacional, não competitivo, não financiado, viseu /

Principal Researcher:
Sara Santos
Duration: 2022 – 2024

Cised team members
Luísa Augusto

Currently, more and more cities and regions differentiate themselves through the creation of a positive identity and image, developing territorial branding. The use of storytelling can also be an asset when used to promote tourist destinations. It is essential that the entities that manage the tourist image of Portuguese regions rethink their dissemination strategies and give priority to “storytelling”, emotions, and involvement with the public in building the image of the territories. Territorial marketing, and in particular the focus on tourism promotion videos, allows to demonstrate the unique characteristics of the territory and its differentiation from the others. Through the story told about the region, the audience identifies with the characters and is “transported” by the narrative.

In Portugal, the Centro region has stood out for the promotional films (with storytelling techniques) that it uses to promote the Center of Portugal. In recent years, “Turismo do Centro” has won dozens of international awards related to tourism promotion. For its part, the “Aldeias Históricas de Portugal” also won the world award for best tourism film in the world, in 2021.

Considering this worldwide recognition, this project will have the partnership of “Turismo do Centro” and “Aldeias Históricas de Portugal”, as examples of good practices in tourism promotion of regions through storytelling in promotional videos.

STORYtur's main objective is to understand the strategies for promoting tourism in Portuguese regions, especially in the Center region.

The project comprises the development of studies through interviews (to the representatives of “Turismo do Centro” and “Aldeias Históricas de Portugal”) and the application of questionnaires to the public.

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PIDI/CISeD/2023/011 • Modelos de Inteligência Artificial para Deteção de Stress Crónico e Padrões de Movimento em Ambientes de Atividades da Vida Diária

Leave a Comment / [CDS] Connected Digital Society, concluído, interno, nacional, não competitivo, não financiado, viseu /

Principal Researcher:
Rui Pedro Duarte
Duration: 2022 – 2024

Cised team members
Carlos Augusto da Silva Cunha

For a long time, stress has been considered an important health factor that affects the quality of life. Several studies indicate that excessive and continuous stress can trigger or worsen several diseases, such as cancer and cardiovascular. Stress is a response to a stressor, an external stimulus or condition that causes an emotional, physical, or psychological change in the individual. However, even though momentary stress can be easily identified, it is hard for people to recognize that they are living a stressful life. Multiple sclerosis (MS) is a chronic disease that affects individuals. It has symptoms on diverse levels, such as vision, fatigue, numbness and tingling, muscle spasms, stiffness and weakness, mobility problems, problems with thinking, learning, planning, and even depression and anxiety. With this, a few critical questions need to be raised: Is there any relation between stress and MS exacerbations? What are the relevant biomarkers to identify continuous stress? Are they reliable? Are their measurements little intrusive?
Thus, it is vital to measure stress and identify its types, in order to monitor and help people to deal with the manifestations of stress. It becomes crucial to identify continuous stress, as there are studies that indicate that it has a negative impact, while a systemic stress situation may even be rewarded. The monitoring process of this continuous stress needs to be controlled and with low intrusion in the user, so that it does not have negative effects on their lifestyle. For that, there are several biomarkers to identify stress in people, but not all are recommended. The most indicated biomarkers are heart rate (HR) and electrical conductivity, which can be monitored by devices such as smart watches. With this, it is possible to train artificial intelligence models to create a solution to detect long-term stress, which does not harm people's quality of life.

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2021-1-TR01-KA220-HED-000027617 • EARLY DISTANCE LEARNING MODEL REINFORCED WITH ROBOTICS FOR 3-7 YEARS OLD CHILDREN

Leave a Comment / [CDS] Connected Digital Society, competitivo, concluído, internacional, projetos, viseu /

Duration: 2022 – 2024

CISeD Team members
Valter Alves

Funding:
Erasmus+

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The aim of this Erasmus + EARLY project is to raise awareness and skills of pre-service and in-service preschool teachers of 3-7 year old children about distance education for Early Childhood Education, by developing resources, like, a manual for early education online labs including dynamic content which is linked to a distance learning module and enriched with robotics to practice in classrooms as well as in distance learning. The project will also assist preschool teachers to improve their professional profiles by giving hands-on training supported with digital teaching tools and robots. The project will also provide a higher education modular course curriculum, using open-source coding tools and various robotics kits tested for those age-groups. The process wil be developed as a design-based research process, including several contributions from stakeholders and experts.

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