Other

Natan Lavi

Dan Ariely

A health and fitness management system that acquires a health indicating measurement using a health indicating measurement device that does not disclose the actual measurement to the individual. The data is transferred to a monitoring system in a format that does not disclose the actual value of the measurement to the individual. The monitoring system interprets the received input and provides useful feedback to a third party.

Indirect bio-feedback health and fitness management system

A health and fitness management system that employs an algorithm to determine suggested recommended actions for a user to improve their health and fitness. The system obtains a user's health indicating measurement from a respective acquisition device. The user is never informed of the acquired data. The health indicating measurement can include a heart/pulse rate, blood pressure measurement, weight, etc. Base line data (age, ideal age, initial weight, current weight, ideal weight, etc.) can be considered in the algorithm. Examples include the user's environment, sleep habits, exercise routines, medical records, and the like. The health index number is used to determine recommended actions, which can include changes to environments, routines, activities, etc. Data collection, the algorithm, and other features of the system can be provided by an Application operating on a portable computing device. Features of the portable computing device can be employed to automatically acquire data for the algorithm.

A health and fitness management system utilizing an algorithm to suggest actions to improve a user's health and fitness. The system obtains a user's health indicating measurement from a respective acquisition device. The user is never informed of the acquired data. The health indicating measurement can include a heart/pulse rate, blood pressure measurement, weight, blood sugar level, etc. Base line data (age, ideal age, initial weight, current weight, ideal weight, etc.) can be considered in the algorithm. Examples include the user's environment, sleep habits, exercise routines, medical records, and the like. The health index number is used to determine recommended actions, which can include changes to environments, routines, activities, etc. Data collection, the algorithm, and other features of the system can be provided by an Application operating on a portable computing device. Features of the portable computing device can be employed to automatically acquire data for the algorithm.

A health and fitness management system that employs an algorithm to determine suggested recommended actions for a user to improve their health and fitness. The system obtains a user's weight from a scale. The user is never informed of their weight. Other data can be collected and included when calculating a health index number. Base line data, such as age, ideal age, initial weight, current weight, ideal weight, etc. can be considered in the algorithm. Examples include the user's environment, sleep habits, exercise routines, medical records, and the like. The health index number is used to determine recommended actions, which can include changes to environments, routines, activities, etc. Data collection, the algorithm, and other features of the system can be provided by an Application operating on a portable computing device. Features of the portable computing device can be employed to automatically acquire data for the algorithm.

Growing community of inventors

Cupertino, CA, United States of America

Natan Lavi