Personalized vitamin supplement

• US 10,332,418 B2
• Filed: 11/23/2015
• Issued: 06/25/2019
• Est. Priority Date: 11/23/2015
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Hardee, Christopher James, Joroff, Steve, Nesbitt, Pamela Ann, Schneider, Scott Edward
• Primary Examiner(s): Saint-Vil, Eddy
• Assistant Examiner(s): Ermlick, William D
• Application Number:
  US14/948,811
• Publication Number:
  US 20170148348A1
• Time in Patent Office: 1,310 Days
• Field of Search: None
• CPC Class Codes: A61B 2560/0242 adapted to measure environmental factors, e.g. temperature, pollution
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: G01N 33/0047 for organic compounds
• CPC Class Codes: G01N 33/20 Metals
• CPC Class Codes: G09B 19/0092 Nutrition

Abstract

An embodiment of the invention provides a method of collecting data to provide a personalized nutrition recommendation to a user, including receiving input from a sensor and/or an interface of a wearable electronic device of the user. The input includes physiological factors and/or environmental factors measured by the wearable electronic device, the environmental factors including sun exposure and air quality. A processor connected to the sensor and/or interface predicts nutritional deficiencies based on the input. The processor generates a personalized supplement recommendation for the user based on the nutritional deficiencies. The personalized supplement recommendation is displayed to the user on a display connected to the processor.

Claims

1. A method, comprising:

receiving input from a wearable electronic device of a user, the wearable device having a light sensor, accelerometer, an antenna, and a display, the input including

physiological factors selected from the group consisting of an amount of sleep and sleep quality measured via the accelerometer, a time that the user went to sleep, a time that the user woke up, and an amount of being awake,

additional user location information from a device of an additional user, and

environmental factors including sun exposure via the light sensor and air quality via the antenna;

generating, via a processor, a personalized supplement recommendation for the user based on nutritional deficiencies determined from the received input and the environmental factors, wherein the personalized supplement recommendation includes at least one of vitamin E when the light sensors detects sun exposure above a predetermined threshold, melatonin when the physiological factors indicate poor sleep and vitamin E when the antenna detects poor air quality;

displaying the personalized supplement recommendation on the display of the wearable electronic device;

sending the personalized supplement recommendation to a 3D printer and printing the personalized supplement at the 3D printer based on the recommendation;

determining whether the additional user is within a threshold distance from the wearable electronic device; and

generating an additional personalized supplement recommendation for the additional user based on the personalized supplement recommendation for environmental factors for the user when the additional user is within a threshold distance from the wearable electronic device.

2. The method according to claim 1, further comprising measuring an amount of time that the wearable electronic device is exposed sunlight above a predetermined threshold level.

3. The method according to claim 1, wherein the airborne toxin comprises lead, benzene, or mercury.

4. The method according to claim 1, wherein the generated personalized supplement recommendation is further based on a nutritional baseline including a familial history.

5. The method according to claim 4, wherein the nutritional baseline is based on a food profile entered by the user, wherein the food profile indicates the user is a vegetarian.

6. The method according to claim 1, wherein the wearable electronic device further comprises a heart beat monitor and a motion detector.

7. The method according to claim 1, wherein the antenna receives data from a location-specific environmental monitor that broadcasts information wirelessly.

8. The method according to claim 1, wherein the environmental factors further comprise cigarette smoke.

9. The method according to claim 1, wherein the personalized supplement recommendation is based on a melatonin deficiency.

10. The method according to claim 1, wherein the personalized supplement recommendation includes vitamin E.

11. The method according to claim 1, wherein the personalized supplement recommendation includes magnesium and potassium.

12. A non-transitory computer-readable medium having computer-readable instructions stored thereon which when executed by a computer cause the computer to perform a method, comprising:

receiving input from a wearable electronic device of a user, the wearable device having a light sensor, accelerometer, an antenna, and a display, the input including;

physiological factors selected from the group consisting of an amount of sleep, sleep quality measured via the accelerometer, a time that the user went to sleep, a time that the user woke up, and an amount of being awake, and

additional user location information from a device of an additional user,

environmental factors including sun exposure via the light sensor and air quality via the antenna;

generating a personalized supplement recommendation for the user based on nutritional deficiencies determined from the received input and the environmental factors, wherein the personalized supplement recommendation includes at least one of vitamin E when the light sensors detects sun exposure above a predetermined threshold, melatonin when the physiological factors indicate poor sleep and vitamin E when the antenna detects poor air quality;

displaying the personalized supplement recommendation on the display of the wearable electronic device;

sending the personalized supplement recommendation to a 3D printer and printing the personalized supplement at the 3D printer based on the recommendation;

determining whether the additional user is within a threshold distance from the wearable electronic device; and

generating an additional personalized supplement recommendation for the additional user based on the personalized supplement recommendation for environmental factors for the user when the additional user is within a threshold distance from the wearable electronic device.