Method for providing motion recognition service and electronic device thereof

• US 9,852,331 B2
• Filed: 03/04/2016
• Issued: 12/26/2017
• Est. Priority Date: 03/16/2015
• Status: Active Grant

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: Park, Chan Soo, Ryu, Seungbeom, Lee, Wonnhee, Hong, Hyunsu
• Primary Examiner(s): Do, Anh H
• Application Number:
  US15/060,937
• Publication Number:
  US 20160275336A1
• Time in Patent Office: 662 Days
• Field of Search: 382103, 382107, 382207, 382291, 3405731, 342450, 345158, 345100, 482 1, 264 405, 315505, 315507, 324559, 455403, 4554561, 700159, 702183
• CPC Class Codes: A63B 2220/00 Measuring of physical parameters relating to sporting activity
• CPC Class Codes: G06V 40/20 Movements or behaviour, e.g. gesture recognition recognition of facial expressions G06V40/16

Abstract

The apparatus includes: a sensor module configured to detect sensor data corresponding to the motion of the apparatus, at least one processor that is electrically coupled with the sensor module and a non-transitory memory storing instructions executable by the processor to execute the method, including detecting the one or more pieces of sensor data by using the sensor module, detecting whether a motion pattern corresponding to the sensor data is stored in the memory, and generating a motion pattern based on at least some of the sensor data according to whether the motion pattern is stored in the memory.

Claims

1. An electronic device comprising:

at least one sensor;

at least one processor electrically connected to the at least one sensor; and

a memory connected to the at least one processor,

wherein the memory stores instructions, which when executed, cause the at least one processor to;

detect sensor data corresponding to a motion of the electronic device, via the at least one sensor;

determine whether a motion pattern corresponding to the detected sensor data is detected in the memory;

extract at least one cycle of a pattern from a repeated pattern contained in the detected sensor data in response to the motion pattern corresponding to the detected sensor data not being detected in the memory; and

create a motion pattern based on one or more attributes that are contained in the at least one cycle of a pattern.

2. The electronic device of claim 1, wherein the attributes contained in the at least one cycle of a pattern include at least one of an average, dispersion, a cycle, a peak value of a waveform of the sensor data, and/or an absolute value, dispersion, distance, and an amount of change of a valley value, and/or distance.

3. The electronic device of claim 1, wherein the instructions, when executed, cause the at least one processor to create a new motion pattern based on the detected sensor data and one or more pieces of log data stored in the memory corresponding to the sensor data.

4. The electronic device of claim 1, wherein the instructions, when executed, cause the at least one processor to collect execution information on the motion pattern in response to identifying an existence of the motion pattern corresponding to the detected sensor data.

5. An electronic device comprising:

at least one sensor;

at least one processor electrically connected to the at least one sensor; and

a memory connected to the at least one processor,

wherein the memory stores instructions, which when executed, cause the at least one processor to;

detect sensor data corresponding to a motion of the electronic device, via the at least one sensor,

identify a motion pattern corresponding to the detected sensor data, and

update the motion pattern based on at least a portion of the detected sensor data.

6. The electronic device of claim 5, wherein the instructions, when executed, cause the at least one processor to compare waveforms of the detected sensor data with one or more motion patterns that are stored in the memory;

and detect the motion pattern corresponding to the detected sensor data based on a comparison result.

7. The electronic device of claim 5, wherein the instructions, when executed, cause the at least one processor to update a recognition range or a pattern structure of the motion pattern based on at least a portion of the detected sensor data.

8. The electronic device of claim 5, wherein the instructions, when executed, cause the at least one processor to reduce a recognition range of the motion pattern in response to a recognition error for the motion pattern.

9. The electronic device of claim 5, wherein the instructions, when executed, cause the at least one processor to collect execution information on the motion pattern.

10. The electronic device of claim 5, wherein the instructions, when executed, cause the at least one processor to update the motion pattern based on the detected sensor data and one or more pieces of log data stored in memory corresponding to the detected sensor data.

11. An operating method of an electronic device, the method comprising:

detecting motion data corresponding to a motion of the electronic device;

determining whether a motion pattern corresponding to the detected motion data is detected in a memory of the electronic device;

extracting at least one cycle of a pattern from a repeated pattern contained in the detected motion data in response to the motion pattern corresponding to the detected motion data not being detected in the memory; and

creating a motion pattern based on one or more attributes that are contained in the at least one cycle of a pattern.

12. The method of claim 11, wherein the one or more attributes contained in the at least one cycle of a pattern includes at least one of an average, dispersion, a cycle, a peak value of a waveform of the motion data, and/or an absolute value, dispersion, distance, and an amount of change of a valley value, and/or distance.

13. The method of claim 11, wherein the creating of the motion pattern comprises creating a new motion pattern based on sensor data that is detected through a sensor of the electronic device and one or more pieces of log data stored in the memory corresponding to the sensor data.

14. The method of claim 11, further comprising collecting execution information on the motion pattern in response to identifying that the motion pattern corresponds to the detected motion data.

15. The method of claim 11, further comprising:

identifying a motion pattern corresponding to the detected motion data; and

updating the motion pattern based on at least a plurality of the detected motion data.

16. The method of claim 11, further comprising:

identifying a motion pattern corresponding to the detected motion data;

comparing the detected motion data with the motion pattern; and

displaying information for changing the motion based on at least a portion of a comparison result.