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WARNING: This is a demonstrator, more knowledge is available in our software but not provided here!
Last updated: August 2021

Scenario Naturopathy: Suggest ingredients or recipes according to the weather, diseases, diets and emotions

Recommender System to Boost your Immune System

(New: March-April 2020): We designed a Recommender System to Boost your Immune System!

Well-being Use case: Food Recommended For Depression

To improve you well-being in general.
Example: Chocolate contains magnesium which is recommended for depression.
Source: Mood state effects of chocolate [Parker et al 2006]

Well-being Use case: Food Recommended for Diabetes

Example: One fruit that you can include in your diabetes diet today is kiwi. Kiwi can help you whether you have Type 1 or Type 2 diabetes. Source: Kiwi Fruit For Diabetes
Source: DFRS: Diet Food Recommendation System for Diabetic Patients based on Ontology [Kumar et al. 2015]

Well-being Use case: Food Recommended for Cholesterol

Fruits like avocados and apples, and citrus fruits like oranges and bananas can help lower cholesterol.
Source: Feeding your heart: Foods to help lower cholesterol

Well-being Use case: Food Recommended For Anxiety

To improve you well-being in general.

Well-being Use case: Food Recommended For Stress

To improve you well-being in general.

Well-being Use case: Food Recommended For Fatigue, Exhaustion, and Tiredness

To improve you well-being in general.

Well-being Use case: Food Recommended For Sleeping Issues, and Insomnia

To improve you well-being in general.

Well-being Use case: Food Recommended For Headache

To improve you well-being in general.

Suggesting home remedies according to body temperature

  1. This scenario is based on: M3 RDF health data
  2. M2M Aggregation Gateway (Convert Health Measurements into Semantic Data):
  3. We deduce that the temperature corresponds to the body temperature.
  4. We deduce that the person is sick.
  5. We propose all fruits/vegetables according to this disease.
  6. M2M Application: Temperature => Cold => Food: (Wait 10 seconds!)

Suggesting food according to the outside temperature

  1. This scenario is based on: M3 RDF sensor data
  2. We deduce that the temperature corresponds to the temperature outside.
  3. We propose all fruits/vegetables according to this season.
  4. M2M Application (Temperature => Season => Food): (Wait 10 seconds!)

Suggesting a recipe according to food available in your kitchen

  1. SenML API (Simulate M2M measurements): Simulate food measurements available in your kitchen
  2. M2M Aggregation Gateway (Convert Food Measurements into Semantic Data):
  3. Link my semantic food measurements to the Smart Products project
  4. M2M application (Suggest a recipe according to food available in my kitchen) (F5 to reload the page):
    • M2M application (Food in the kitchen & Season):

      Emotion Scenarios

      We designed Emotion scenarios!

      Health Scenarios

      We designed Health scenarios!

      References - Please remember to cite our work