Activity tracker

• US 10,448,866 B1
• Filed: 01/02/2017
• Issued: 10/22/2019
• Est. Priority Date: 01/03/2016
• Status: Active Grant

• Current Assignee: Alexey Ryzhkov
• Original Assignee: Jie Lian, Marcelo A. German, Mohammed Nabyl Bennouri
• Inventors: German, Marcelo A, Bennouri, Mohammed Nabyl, Lian, Jie
• Primary Examiner(s): Cerioni, Daniel L
• Application Number:
  US15/396,774
• Time in Patent Office: 1,023 Days
• Field of Search: 600595
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/0533 Measuring galvanic skin response
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue

Abstract

An electronic device tracks both calorie loss and intake for a user. The device comprises a plurality of sensors to measure user'"'"'s physical activities, and provides a user interface to allow user input of activities. The device tracks these activities and estimates the calorie burned based on predefined formulas. Also through the user interface, the device allows user to input information about food or drink consumption, and then estimates the corresponding calorie intake. User input of activities and food/drink consumption can be achieved by means of voice. The electronic device also runs a software app which can provide instructions for the user with regards to activities and/or food/drink consumption. In addition, the app allows user to enter weight, together with the tracked calorie intake and loss history data, to adaptively adjust the calorie calculation formulas and the associated parameters.

Claims

1. An activity tracker for a user comprising:

one or more sensors;

a voice user interface; and

a processing unit adapted to;

calculate total calories burned per day (TCB) and total calories intake per day (TCI) of the user;

calculate a daily calorie deficit (DCD) if TCB is greater than TCI or a daily calorie surplus (DCS) if TCI is greater than TCB, wherein DCD or DCS is a difference between TCB and TCI;

receive two weight measurements from the user;

calculate a measured weight change (mWT) between the two weight measurements;

calculate an equivalent weight change (eWT) based on an algebraic sum of the DCD and DCS for each day between the two weight measurements; and

automatically adjust a set of TCB scaling factors or a TCI scaling factor based on a comparison between the mWT and eWT;

wherein TCB is a weighted sum of basal calories burned during a day and calories burned corresponding to a plurality of physical activities of the user during the day, wherein weights of the weighted sum comprise the set of TCB scaling factors, and TCI is a sum of calories intake during the day multiplied by the TCI scaling factor;

wherein the calories burned corresponding to the plurality of physical activities are derived from measurement by the one or more sensors or a voice input to the voice user interface, and wherein the calories intake is derived from the voice input to the voice user interface.

2. The activity tracker of claim 1, wherein the TCB scaling factors are decreased and/or TCI scaling factor is increased if mWT is greater than eWT by a predefined threshold, and the TCB scaling factors are increased and/or the TCI scaling factor is decreased if mWT is less than eWT by the predefined threshold.

3. The activity tracker of claim 2, wherein the processing unit is adapted to recalculate the eWT after decreasing or increasing of the TCB or TCI scaling factors, and decreasing or increasing of the TCB or TCI scaling factors are repeated until a difference between the eWT and mWT is less than the predefined threshold.

4. The activity tracker of claim 1, wherein the processing unit is adapted to obtain type and duration information of at least some of the plurality of physical activities of the user from the voice input.

5. The activity tracker of claim 1, wherein the processing unit is adapted to obtain type and amount of food or drink intake from the voice input.

6. The activity tracker of claim 1, wherein the one or more sensors comprise a motion sensor adapted to detect at least some of the plurality of physical activities of the user.

7. The activity tracker of claim 6, wherein the motion sensor comprises an accelerometer.

8. The activity tracker of claim 6, wherein the motion sensor comprises a gyroscope.

9. The activity tracker of claim 1, wherein the one or more sensors comprise a biometric sensor adapted to measure one or more physiological signals of the user.

10. The activity tracker of claim 9, wherein the one or more physiological signals comprises any one of a heart rate, a respiratory rate, sweat, electromyogram, blood sugar, and blood oxygen.

11. The activity tracker of claim 1, further comprises a memory storing one or more databases containing calorie conversion information.

12. The activity tracker of claim 11, wherein the calorie conversion information comprises calorie burn rates corresponding to one or more types of physical activity.

13. The activity tracker of claim 11, wherein the calorie conversion information comprises calorie content of one or more types of food or drink.

14. The activity tracker of claim 1 is adapted to enter a voice input mode by receiving a voice command of the user.

15. The activity tracker of claim 1 is adapted to enter a voice input mode by receiving both a hand input and the voice input, wherein the hand input and the voice input follow a predefined temporal sequence.

16. The activity tracker of claim 1, wherein the voice input to the voice user interface is entered without a voice prompt.

17. The activity tracker of claim 1, wherein the one or more sensors comprise an environmental sensor adapted to measure an environmental condition, and the processing unit is adapted to adjust the calories burned corresponding to the plurality of physical activities based on the environmental condition measured by the environmental sensor.

18. The activity tracker of claim 17, wherein the environmental sensor comprises a temperature sensor adapted to measure an ambient temperature, and the processing unit is adapted to multiply the calories burned corresponding to the plurality of physical activities by a temperature-dependent scaling factor, which increases when the temperature sensor detects an increase in the ambient temperature.

19. The activity tracker of claim 1, wherein the processing unit is adapted to track calories burned for a day (CBD), calculate a calorie loss gap by subtracting the CBD from a predefined target goal of daily calories burned, and recommend a ranked list of physical activities to the user if the calorie loss gap is great than zero.

20. The activity tracker of claim 1, wherein the processing unit is adapted to track calories intake for a day (CID), calculate a calorie deficit by subtracting the CID from a predefined target goal of daily calories intake, and recommend a ranked list of food and/or drink to the user if the calorie deficit is great than zero.