Wireless device and selective user control and management of a wireless device and data
AssigneeJeffrey S. Melcher
InventorEdward P. Espinosa
Life of this patent
Estimating the term…
Abstract
A system and method to provide user marketing recommendations or suggestions based on an interaction between a user and a product, using a radio frequency tag in communication with the product, a radio frequency reader, and a computing device. A motion of the user detected by the radio frequency tag is used to generate a signal containing level of motion, which is utilized by the computing device to determine a level of user interaction and generate marketing information. Marketing information about how to use the product in a recipe is sent to the user interface device.
Claims22
A system to provide user marketing recommendations based on a health diagnosis, comprising:
- a radio frequency tag having a sensor portion in communication with a human or an animal and configured to detect at least one chemical from the human or the animal;
- a computing device comprising a processor and a non-volatile, non-transitory memory, and configured to communicate with a user interface device, the computing device configured to utilize artificial intelligence;
- a radio frequency reader in communication with the computing device and configured to receive a signal from the radio frequency tag;
- the radio frequency tag configured to measure a motion of the user when in contact or close proximity to the radio frequency tag;
- the radio frequency tag configured to send a signal to the radio frequency reader, the signal containing data about the at least one chemical;
- an application stored in the non-volatile, non-transitory memory, configured to use artificial intelligence, and executable by the processor to:
- interpret the signal to determine a level of the measured motion of the user;
- interpret the signal to determine a level of the at least one chemical;
- determine whether the level of the motion fails, maintains, reaches or exceeds a determined motion level;
- determine whether the level of the at least one chemical fails, maintains, reaches or exceeds a determined chemical level;
- determine a diagnosis based on the chemical level and the motion level;
- generate a treatment comprising at least one of a drink, a food, a medical product, a pharmaceutical product, or a health product;
- generate marketing information for the drink, the food, the medical product, the pharmaceutical product, or the health product;
- and
- transmit the marketing information to the user interface device.
A method of providing user marketing recommendations based on a health diagnosis, comprising:
- providing a radio frequency tag having a sensor portion in communication with a human or an animal and configured to detect at least one chemical from the human or the animal;
- providing a computing device comprising a processor and a non-volatile, non-transitory memory, and configured to communicate with a user interface device, the computing device configured to utilize artificial intelligence;
- providing a radio frequency reader in communication with the computing device and configured to receive a signal from the radio frequency tag;
- measuring by the radio frequency tag a motion of the user when in contact or close proximity to the radio frequency tag;
- sending the signal from the radio frequency tag to the radio frequency reader, the signal containing data about the at least one chemical;
- the computing device using the application and the artificial intelligence to:
- interpret the signal to determine a level of the measured motion of the user;
- interpret the signal to determine a level of the at least one chemical;
- determine whether the level of the motion fails, maintains, reaches or exceeds a determined motion level;
- determine whether the level of the at least one chemical fails, maintains, reaches or exceeds a determined chemical level;
- determine a diagnosis based on the chemical level and the motion level;
- generate a treatment comprising at least one of a drink, a food, a medical product, a pharmaceutical product, or a health product;
- generate marketing information for the drink, the food, the medical product, the pharmaceutical product, or the health product;
- and
- transmitting the marketing information to the user interface device.
A system to provide user marketing recommendations based on a health diagnosis, comprising:
- a radio frequency tag having a sensor portion in communication with a human or an animal and configured to detect at least one chemical from the human or the animal;
- a computing device comprising a processor and a non-volatile, non-transitory memory, and configured to communicate with a user interface device, the computing device configured to utilize artificial intelligence;
- a radio frequency reader in communication with the computing device and configured to receive a signal from the radio frequency tag;
- the radio frequency tag configured to measure a motion of the user when in contact or close proximity to the radio frequency tag;
- the radio frequency tag configured to send a signal to the radio frequency reader, the signal containing data about the at least one chemical;
- an application stored in the non-volatile, non-transitory memory, configured to use artificial intelligence, and executable by the processor to:
- interpret the signal to determine a level of the measured motion of the user;
- interpret the signal to determine a level of the at least one chemical;
- determine whether the level of the motion fails, maintains, reaches or exceeds a determined motion level;
- determine whether the level of the at least one chemical fails, maintains, reaches or exceeds a determined chemical level;
- determine a diagnosis based on the chemical level and the motion level;
- generate a treatment comprising at least one of a recipe, music, a user activity or a user action;
- generate marketing information for the recipe, the music, or the user activity;
- and
- transmit the marketing information or the user action to the user interface device.
Dependencies are inferred from the claim text.