Personalized vitamin supplement
First Claim
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 includingphysiological 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, andenvironmental 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.
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Accused Products
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.
46 Citations
12 Claims
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1. A method, comprising:
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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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:
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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.
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Specification