17571233. SYSTEMS AND METHODS FOR FOOD ANALYSIS, FEEDBACK, AND RECOMMENDATION USING A SENSOR SYSTEM simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)

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SYSTEMS AND METHODS FOR FOOD ANALYSIS, FEEDBACK, AND RECOMMENDATION USING A SENSOR SYSTEM

Organization Name

SAMSUNG ELECTRONICS CO., LTD.

Inventor(s)

Yibing Michelle Wang of Temple City CA (US)

Radwanul Hasan Siddique of Monrovia CA (US)

Kamil Bojanczyk of San Jose CA (US)

SYSTEMS AND METHODS FOR FOOD ANALYSIS, FEEDBACK, AND RECOMMENDATION USING A SENSOR SYSTEM - A simplified explanation of the abstract

This abstract first appeared for US patent application 17571233 titled 'SYSTEMS AND METHODS FOR FOOD ANALYSIS, FEEDBACK, AND RECOMMENDATION USING A SENSOR SYSTEM

Simplified Explanation

The patent application describes systems and methods for analyzing food using sensors and a processor. Here is a simplified explanation of the abstract:

  • The system includes a first sensor that captures data related to the food.
  • A processor analyzes the first sensor data to determine if food has been detected.
  • If food is detected, a second sensor is activated to capture additional data.
  • The processor then uses the combined data from both sensors to predict a characteristic of the food.
  • Based on this characteristic, the processor further predicts how a person's body will respond to the food.
  • Finally, the system provides a recommendation based on the predicted response of the body.

Potential applications of this technology:

  • Food analysis and recommendation systems for individuals with dietary restrictions or allergies.
  • Monitoring and analyzing food intake for individuals looking to maintain a healthy diet.
  • Assisting individuals in making informed decisions about their food choices based on predicted bodily responses.

Problems solved by this technology:

  • Helps individuals with dietary restrictions or allergies avoid consuming foods that may cause adverse reactions.
  • Provides personalized recommendations for individuals based on their specific bodily responses to different foods.
  • Assists individuals in making healthier food choices by predicting how their bodies will respond to certain foods.

Benefits of this technology:

  • Enables individuals to make more informed decisions about their food choices, leading to better health outcomes.
  • Reduces the risk of allergic reactions or adverse effects from consuming certain foods.
  • Provides personalized recommendations that take into account an individual's unique bodily responses to different foods.


Original Abstract Submitted

Systems and methods for analyzing food are disclosed. A first sensor captures first sensor data. A processor determines, based on the first sensor data, whether food has been detected, and invokes a second sensor in response to the determining. The second sensor captures second sensor data. The processor predicts, based on the first and second sensor data, a characteristic of the food. The processor further predicts a body’s response to the food based on the characteristic, and outputs a recommendation based on the predicting of the body’s response.