Wearable device and method for controlling the same

• US 9,551,608 B2
• Filed: 02/10/2014
• Issued: 01/24/2017
• Est. Priority Date: 11/27/2013
• Status: Active Grant

• Current Assignee: LG Electronics, Inc. (LG Corporation)
• Original Assignee: LG Electronics, Inc. (LG Corporation)
• Inventors: Cho, Eunhyung, Chun, Sinae, Kim, Jongho, Kim, Jihwan
• Primary Examiner(s): TSAI, CAROL S W
• Application Number:
  US14/176,753
• Publication Number:
  US 20150149116A1
• Time in Patent Office: 1,079 Days
• Field of Search: 702/173, 702/188, 600/301, 600/547, 340/539.12, 340/539.13, 340/573.1, 342/357.25
• US Class Current: 1/1
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/026 Measuring blood flow A61B3/1233, A61B3/1241 take precedence
• CPC Class Codes: A61B 5/0531 Measuring skin impedance
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/1107 Measuring contraction of parts of the body, e.g. organ, muscle apparatus for measuring work or force in general G01L
• CPC Class Codes: A61B 5/332 Portable devices specially adapted therefor
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: G01G 9/00 Methods of, or apparatus for, the determination of weight, not provided for in groups G01G1/00 - G01G7/00
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/0639 Performance analysis of employees; Performance analysis of enterprise or organisation operations
• CPC Class Codes: G06Q 10/06393 Score-carding, benchmarking or key performance indicator [KPI] analysis
• CPC Class Codes: G06V 40/23 Recognition of whole body movements, e.g. for sport training
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

A wearable device and a method for controlling the same are disclosed herein. The wearable device, comprising a bio-signal sensor unit configured to sense a bio-signal; a storage unit configured to store data; and a processor configured to control the bio-signal sensor unit and the storage unit, wherein the processor is further configured to: generate first reference data including a weight of a first reference object and a first bio-signal being generated by holding the first reference object when the first bio-signal is detected, generate measurement data including a second bio-signal being generated by holding a measurement object, when the second bio-signal is detected, and obtain a weight of the measurement object by comparing the measurement data with the first reference data.

Claims

1. A wearable device, comprising:

a bio-signal sensor unit configured to sense a bio-signal;

a storage unit configured to store data; and

a processor configured to control the bio-signal sensor unit and the storage unit,

wherein the processor is further configured to;

generate first reference data including a weight of a first reference object and a first bio-signal generated by holding the first reference object when the first bio-signal is detected,

generate measurement data including a second bio-signal generated by holding a measurement object when the second bio-signal is detected, and

obtain a weight of the measurement object by comparing the measurement data with the first reference data.

2. The wearable device of claim 1, wherein the processor is further configured to:

compare the first bio-signal included in the first reference data with the second bio-signal included in the measurement data, and

obtain the weight of the measurement object by using a compared result and the weight of the first reference object included in the first reference data.

3. The wearable device of claim 1, wherein the first bio-signal is generated when a position of the first reference object is in a stationary state after the first reference object was held, or

wherein the second bio-signal is generated when a position of the measurement object is in a stationary state after the measurement object was held.

4. The wearable device of claim 1, wherein the first bio-signal is generated when a position of the first reference object is in a mobile state after the first reference object was held, or

wherein the second bio-signal is generated when a position of the measurement object is in a mobile state after the measurement object was held.

5. The wearable device of claim 1, wherein the weight of the measurement object corresponds to a relative weight with respect to the first reference object.

6. The wearable device of claim 1, wherein the first reference object corresponds to an object having a predetermined weight.

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

an input sensor unit configured to sense an input of the wearable device,

wherein the processor is further configured to receive the weight of the first reference object by detecting the input and to generate the first reference data.

8. The wearable device of claim 1, wherein the bio-signal sensor unit senses at least one of muscular contraction level, electromyogram, skin conductivity, brainwave, pulse rate, electrocardiogram, blood pressure, blood flow rate, and heart rate of a user wearing the wearable device as the bio-signal.

9. The wearable device of claim 1, wherein the first reference data and the measurement data include at least one of date, time, interval, and place at which each data is generated.

10. The wearable device of claim 1, wherein the processor is further configured to update the first reference data by using the measurement data and the obtained weight of the measurement object.

11. The wearable device of claim 1, wherein the processor is further configured to generate second reference data including a weight of a second reference object and a third bio-signal being generated by holding the second reference object.

12. The wearable device of claim 11, wherein the processor is further configured to obtain the weight of the measurement object by comparing the measurement data with the first reference data and with the second reference data.

13. The wearable device of claim 11, wherein the processor is further configured to:

generate the second reference data when a predetermined period of time has elapsed since the first reference data was generated; and

update the first reference data by using the second reference data.

14. The wearable device of claim 11, wherein the processor is further configured to:

generate the second reference data when a predetermined period of time has elapsed since the first reference data was generated, and

obtain health information of a user wearing the wearable device by using the first reference data and the second reference data.

15. The wearable device of claim 14, wherein the health information includes a level of change in an amount of muscles or body fat of the user.

16. The wearable device of claim 14, wherein the second reference object corresponds to an object having a weight equivalent to the weight of the first reference object.

17. The wearable device of claim 1, wherein the processor is further configured to count a number of lifting the measurement object by detecting the second bio-signal.

18. The wearable device of claim 1, wherein the processor is further configured to generate user identification information by using at least one of the first reference data and the measurement data.

19. The wearable device of claim 18, wherein the processor is further configured to identify a user wearing the wearable device by using the generated user identification information.