System and device for non-invasive drink detection

1. A wearable device comprising:

at least one motion sensor operable to detect one or more motion signals,

wherein one or more biological sensors includes a heart rate sensor, and one or more biological indicators includes a heart rate and/or a heart rate variation;

a processor coupled to the at least one motion sensor;

the one or more biological sensors coupled to the processor and operable to detect the one or more biological indicators of a user, wherein the one or more biological indicators includes a surge in the heart rate; and

a memory configured to store instructions executable by the processor, the instructions, when executed the processor, are operable to:

obtain, from the at least one motion sensor, the one or more motion signals;

obtain, from the one or more biological sensors, the one or more biological indicators of the user;

correlate the one or more biological indicators of the user with the one or more motion signals; and

determine that a drink event is detected based on the correlation between the one or more motion signals and the one or more biological indicators,

wherein the drink event ends upon a return, based on the one or more motion signals, to a position prior to the drink event being detected; and

estimate a volume of the drink event using an area under a curve of the surge in the heart rate over a baseline heart rate.

2. The wearable device of claim 1 , wherein the one or more motion signals is pre-processed using dynamic time warping.

3. The wearable device of claim 1 , wherein the at least one motion sensor includes an inertial motion unit, an accelerometer, a magnetometer, and/or a gyroscope.

4. The wearable device of claim 1 , wherein the one or more motion signals is processed by a machine learning classification technique.

5. The wearable device of claim 4 , wherein the machine learning classification technique includes k-nearest neighbor classifier and/or a neural network classifier.

6. The wearable device of claim 1 , wherein the one or more biological sensors includes a thermometer, and the one or more biological indicators includes tissue temperature and ambient temperature.

7. The wearable device of claim 6 , wherein the one or more biological indicators includes a decrease in tissue temperature and the decrease in the tissue temperature with respect to the ambient temperature.

8. The wearable device of claim 1 , wherein the one or more biological sensors includes a respiration detector, and the one or more biological indicators includes a pause in breathing.

9. The wearable device of claim 1 , wherein the one or more biological sensors includes a near-infrared spectrometer, and the one or more biological indicators includes an increase in tissue perfusion and/or blood volume.

10. The wearable device of claim 1 , wherein the one or more biological sensors includes a photoplethysmography monitor, and the one or more biological indicators includes a blood oxygen saturation, a blood pressure, and/or a respiration rate.

11. The wearable device of claim 1 , wherein the one or more biological sensors includes a bioimpedance monitor, and the one or more biological indicators includes tissue hydration variation.

12. The wearable device of claim 1 , wherein the one or more biological sensors includes an atmospheric pressure sensor, an altitude sensor, a relative humidity sensor, a microphone, a clock, an event marker, and/or a camera.

13. The wearable device of claim 12 , wherein the one or more biological indicators includes atmospheric pressure, altitude, humidity, sounds associated with eating and/or drinking, time, span of the time, images and/or videos associated with drinking.

14. The wearable device of claim 1 , further comprising:

one or more additional sensors coupled to the processor and operable to detect one or more additional indicators, and

the instructions are further operable to:

obtain, from the one or more additional sensors, of the one or more additional indicators;

correlate the one or more additional indicators with the one or more biological indicators of the user and the one or more motion signals;

determine that the drink event is detected based on the correlation between the one or more additional indicators and the one or more motion signals and the one or more biological indicators.

15. The wearable device of claim 14 , wherein the one or more additional sensors includes a global position system component, and the one or more additional indicators includes a physical location.

16. The wearable device of claim 15 , wherein the physical location includes a restaurant and/or a bar.

17. The wearable device of claim 15 , wherein the physical location is determined by a calendar, events and/or postings on one or more social media applications, ambient light, UV exposure, humidity, altitude, images, videos, and/or previously visited locations.

18. A system comprising:

a wearable device including:

at least one motion sensor operable to detect one or more motion signals, wherein one or more biological sensors includes a heart rate sensor, and one or more biological indicators includes a heart rate and/or a heart rate variation;

a processor coupled to the at least one motion sensor;

the one or more biological sensors coupled to the processor and operable to detect the one or more biological indicators of a use, wherein the one or more biological indicators includes a surge in the heart rate; and

a mobile device communicatively coupled with the wearable device, the mobile device including a memory configured to store instructions executable by the processor, the instructions, when executed, are operable to:

obtain, from the wearable device, of the one or more motion signals;

obtain, from the wearable device, of the one or more biological indicators of the user;

correlate the or more biological indicators of the user with the one or more motion signals;

determine that a drink event is detected based on the correlation between the one or more motion signals and the one or more biological indicators,

wherein the drink event ends upon a return, based on the one or more motion signals, to a position prior to the drink event being detected; and

estimate a volume of the drink event using an area under a curve of the surge in the heart rate over a baseline heart rate.