Abstract: A wearable personal healthcare device for measuring personal health is provided that is configured to detect a photoplethysmograph (PPG) wave generated by infra-red, green, or red lights emitted from the device, the personal healthcare device. The device includes an outward facing face, a lateral side, and a bottom side, wherein the bottom side faces a user's skin, a plurality of electrical contact sensors, wherein a first of the plurality of sensors is located on one of the top face, lateral side, and bottom side, and a second of the plurality of sensors is located on one of the top face and lateral side of the personal health care device. The first and second sensors are configured to complete a circuit therebetween when a user contacts the first sensor with a first surface of the user's skin and contacts the second sensor with the first or a second surface of the user's skin.

Abstract: A method and system for measuring personal health, the method comprising detecting a photoplethysmograph (PPG) wave, the PPG wave generated based on a combination of infra-red and red lights, transmitting the PPG wave to a server, the server processing the PPG wave to infer biometric statistics based on machine learned correlations generated from a training set of PPG waves and biometric data, receiving the biometric statistics from the server, and generating display data based on the biometric statistics.

Abstract: The present application provides a personal supplement supply system that includes: a delivery device, which further includes a housing having a plurality of cartridges removably attached to a base located within the housing. Each of the plurality of cartridges store therein at least one dispensable ingredient. The device includes a processor coupled to computer memory, the computer memory having software stored thereon that when executed causes the delivery device to dispense the at least one dispensable ingredient from each of the plurality of cartridges in accordance with a bio-informed plan personalized for a user of the delivery device.

Abstract: A wearable personal healthcare device for measuring personal health is provided that is configured to detect a photoplethysmograph (PPG) wave generated by infra-red, green, or red lights emitted from the device, the personal healthcare device. The device includes an outward facing face, a lateral side, and a bottom side, wherein the bottom side faces a user's skin, a plurality of electrical contact sensors, wherein a first of the plurality of sensors is located on one of the top face, lateral side, and bottom side, and a second of the plurality of sensors is located on one of the top face and lateral side of the personal health care device. The first and second sensors are configured to complete a circuit therebetween when a user contacts the first sensor with a first surface of the user's skin and contacts the second sensor with the first or a second surface of the user's skin.

Abstract: A method and system for measuring personal health, the method comprising detecting a photoplethysmograph (PPG) wave, the PPG wave generated based on a combination of infra-red and red lights, transmitting the PPG wave to a server, the server processing the PPG wave to infer biometric statistics based on machine learned correlations generated from a training set of PPG waves and biometric data, receiving the biometric statistics from the server, and generating display data based on the biometric statistics.

Abstract: A method and system for measuring personal health, the method comprising detecting a photoplethysmograph (PPG) wave, the PPG wave generated based on a combination of infra-red and red lights, transmitting the PPG wave to a server, the server processing the PPG wave to infer biometric statistics based on machine learned correlations generated from a training set of PPG waves and biometric data, receiving the biometric statistics from the server, and generating display data based on the biometric statistics.

Abstract: A method and system for measuring personal health, the method comprising detecting a photoplethysmograph (PPG) wave, the PPG wave generated based on a combination of infra-red and red lights, transmitting the PPG wave to a server, the server processing the PPG wave to infer biometric statistics based on machine learned correlations generated from a training set of PPG waves and biometric data, receiving the biometric statistics from the server, and generating display data based on the biometric statistics.