Method and apparatus for providing guide information associated with exercise intensity on basis of user activity information

1. An electronic device comprising:

sensor circuitry; and

a processor,

wherein the processor is configured to filter at least one activity information which satisfies a designated condition among one or more activity information previously obtained in relation to a user motion,

to obtain at least one source data from the at least one activity information using exponential smoothing, wherein the exponential smoothing is a method of weighted moving average prediction schemes which assign a greatest weight to the most recent data of a time series data and exponentially decrease a weight over time,

to determine a first exercise intensity for the user, based on the at least one source data, wherein the first exercise intensity includes exercise distance data,

to obtain a plurality of estimated values associated with time data from the first exercise intensity based on a maximum oxygen consumption,

to obtain an average value of the plurality of estimated values,

to determine a second exercise intensity by adjusting the first exercise intensity, based on the average value, wherein the second exercise intensity includes exercise distance data and exercise time data,

to modify the second exercise intensity by combining additional data in the determined second exercise intensity, and

to provide guide information associated with a modified second exercise intensity.

2. The electronic device of claim 1 , wherein the processor is configured to determine the first exercise intensity, further based on modification information by applying a designated weight to at least part of the at least one activity information.

3. The electronic device of claim 2 , wherein the processor is configured to include, as at least part of the modification information, at least one of average workout distance information or average workout duration information determined based at least on the at least one activity information.

4. The electronic device of claim 1 , wherein the processor is configured to set a target of exercise, based at least on biometric information of the user.

5. The electronic device of claim 1 , further comprising:

communication circuitry,

wherein the processor is configured to transmit data of the determined second exercise intensity to an external electronic device that is connected, using the communication circuitry.

6. The electronic device of claim 1 , wherein the processor is configured to include, as at least part of the first exercise intensity and the second exercise intensity, at least one of a workout distance or a workout duration in relation to a target of exercise of the user.

7. The electronic device of claim 1 , further comprising:

communication circuitry,

wherein the processor is configured to receive one or more activity information previously obtained in relation to the user motion from an external electronic device which is connected using the communication circuitry.

8. The electronic device of claim 1 , wherein the processor is configured to modify the determined second exercise intensity, based at least on designated additional information.

9. The electronic device of claim 1 , wherein the processor is configured to generate the guide information, based at least on whether the determined second exercise intensity satisfies a designated exercise intensity range.

10. The electronic device of claim 1 , wherein the processor is configured to determine the at least one activity information based on a criteria number.

11. A method for operating an electronic device, comprising:

filtering at least one activity information which satisfies a designated condition among one or more activity information previously obtained in relation to a user motion;

obtaining at least one source data from the at least one activity information using exponential smoothing, wherein the exponential smoothing is a method of weighted moving average prediction schemes which assign a greatest weight to the most recent data of a time series data and exponentially decrease a weight over time;

determining a first exercise intensity for the user, based on the at least one source data, wherein the first exercise intensity includes exercise distance data;

obtaining a plurality of estimated values associated with time data from the first exercise intensity based on a maximum oxygen consumption;

obtaining an average value of the plurality of estimated values;

determining a second exercise intensity by adjusting the first exercise intensity based on the average value, wherein the second exercise intensity includes exercise distance data and exercise time data;

modifying the second exercise intensity by combining additional data in the determined second exercise intensity; and

providing guide information associated with a modified second exercise intensity.

12. The method of claim 11 , wherein determining the first exercise intensity comprises:

determining the first exercise intensity, further based on modification information by applying a designated weight to at least part of the at least one activity information.

13. The method of claim 12 , wherein, as at least part of the modification information, at least one of average workout distance information or average workout duration information determined based at least on the at least one activity information is included.

14. The method of claim 11 , further comprising:

setting a target of exercise, based at least on biometric information of the user.

15. The method of claim 11 , further comprising:

transmitting data of the determined second exercise intensity to an external electronic device which is connected using communication circuitry.