IDENTIFICATION METHOD AND DEVICE

• US 20170049364A1
• Filed: 04/16/2015
• Published: 02/23/2017
• Est. Priority Date: 04/30/2014
• Status: Active Grant

• Current Assignee: Beijing Zhigu RUI TUO Tech Company Limited
• Original Assignee: Beijing Zhigu RUI TUO Tech Company Limited
• Inventors: XU, Ran
• Granted Patent: US 10,485,456 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2503/10 Athletes
• CPC Class Codes: A61B 2505/09 Rehabilitation or training
• CPC Class Codes: A61B 2560/0223 of calibration, e.g. protocols for calibrating sensors
• CPC Class Codes: A61B 2560/0462 Apparatus with built-in sensors
• CPC Class Codes: A61B 2562/06 Arrangements of multiple sensors of different types
• CPC Class Codes: A61B 5/02 Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
• CPC Class Codes: A61B 5/02028 Determining haemodynamic parameters not otherwise provided for, e.g. cardiac contractility or left ventricular ejection fraction
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/02125 of pulse wave propagation time
• CPC Class Codes: A61B 5/026 Measuring blood flow A61B3/1233, A61B3/1241 take precedence
• CPC Class Codes: A61B 5/0261 using optical means, e.g. infrared light
• CPC Class Codes: A61B 5/0295 using plethysmography, i.e. measuring the variations in the volume of a body part as modified by the circulation of blood therethrough, e.g. impedance plethysmography
• 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 5/1114 Tracking parts of the body
• CPC Class Codes: A61B 5/1121 Determining geometric values, e.g. centre of rotation or angular range of movement
• CPC Class Codes: A61B 5/1123 Discriminating type of movement, e.g. walking or running A61B5/1116, A61B5/112 take precedence
• CPC Class Codes: A61B 5/117 Identification of persons methods or arrangements for recognising patterns, e.g. fingerprints, G06F18/00, G06V40/00; identification of persons by analysing their voice or speech G10L17/00
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/352 Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/7285 : for synchronising or triggering a physiological measurement or image acquisition with a physiological event or waveform, e.g. an ECG signal A61B6/5205, A61B6/541, A61B8/5207, A61B8/543 take precedence
• CPC Class Codes: G06F 3/011 : Arrangements for interaction with the human body, e.g. for user immersion in virtual reality blind teaching G09B21/00
• CPC Class Codes: G06F 3/014 : Hand-worn input/output arrangements, e.g. data gloves
• CPC Class Codes: G06F 3/015 : Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
• CPC Class Codes: G06F 3/017 : Gesture based interaction, e.g. based on a set of recognized hand gestures interaction based on gestures traced on a digitiser G06F3/04883

Abstract

This application provides an identification method and device, and relates to the field of wearable devices. The method comprises: acquiring a first heartbeat propagation signal and a second heartbeat propagation signal separately from a target limb of a body; and identifying whether the target limb is a left limb or a right limb at least according to the first heartbeat propagation signal and the second heartbeat propagation signal. The method and device can implement automatic identification of left and right limbs, simplify configuration steps, and improve user experience.

Claims

1. A method, comprising:

acquiring, by a device comprising a processor, a first heartbeat propagation signal and a second heartbeat propagation signal separately from a target limb of a body; and

identifying whether the target limb is a left limb or a right limb at least according to the first heartbeat propagation signal and the second heartbeat propagation signal.

2. The method of claim 1, wherein

the first heartbeat propagation signal and the second heartbeat propagation signal are heartbeat propagation signals of different types.

3. The method of claim 1, wherein the first heartbeat propagation signal is one of an electrocardiographic waveform signal or a blood flow pulsation waveform signal, and the second heartbeat propagation signal is one of the electrocardiographic waveform signal or the blood flow pulsation waveform signal different from the first heartbeat propagation signal.

4. The method of claim 1, wherein the identifying whether the target limb is the left limb or the right limb at least according to the first heartbeat propagation signal and the second heartbeat propagation signal comprises:

acquiring a first time corresponding to a first feature point on the first heartbeat propagation signal;

acquiring a second time corresponding to a second feature point on the second heartbeat propagation signal, the second feature point corresponding to the first feature point; and

identifying whether the target limb is the left limb or the right limb at least according to a time difference between the first time corresponding to the first feature point and the second time corresponding to the second feature point.

5. The method of claim 4, further comprising:

determining a strategy of selecting the first feature point and the second feature point according to a propagation speed relationship between the first heartbeat propagation signal and the second heartbeat propagation signal.

6. The method of claim 4, wherein the first feature point and the second feature point are located in a same cardiac cycle.

7. The method of claim 4, wherein the first feature point is a crest on the first heartbeat propagation signal, and the second feature point is a crest on the second heartbeat propagation signal.

8. The method of claim 4, wherein the identifying whether the target limb is the left limb or the right limb at least according to the time difference between the first time corresponding to the first feature point and the second time corresponding to the second feature point comprises:

identifying whether the target limb is the left limb or the right limb according to a reference time difference and the time difference between the first time corresponding to the first feature point and the second time corresponding to the second feature point.

9. The method of claim 4, further comprising:

acquiring first sensor information.

10. The method of claim 9, wherein the identifying whether the target limb is the left limb or the right limb at least according to the time difference between the first time corresponding to the first feature point and the second time corresponding to the second feature point comprises:

identifying whether the target limb is the left limb or the right limb according to a reference time difference, the first sensor information, and the time difference between the first time corresponding to the first feature point and the second time corresponding to the second feature point.

11. The method of claim 9, wherein the first sensor information comprises:

at least one of pulse information, blood pressure information, body temperature information, motion state information, or body gesture information.

12. The method of claim 8, further comprising:

determining the reference time difference in advance.

13. The method of claim 1, further comprising:

executing a corresponding operation according to an identification result.

14. The method of claim 13, wherein the executing the corresponding operation comprises:

at least one of mode switching, user prompting, or device matching.

15. The method of claim 1, further comprising:

acquiring second sensor information; and

sending the identification result and the second sensor information to another device.

16. The method of claim 1, wherein the target limb comprises:

a hand, an arm, a shoulder, a foot, or a leg.

17. A device, comprising:

a memory that stores executable modules; and

a processor, coupled to the memory, that executes or facilitates execution of the executable modules, comprising;

an acquiring module configured to acquire a first heartbeat propagation signal and a second heartbeat propagation signal separately from a target limb of a body; and

an identification module configured to identify whether the target limb is a left limb or a right limb at least according to the first heartbeat propagation signal and the second heartbeat propagation signal.

18. The device of claim 17, wherein the acquiring module comprises:

a first acquiring unit configured to acquire the first heartbeat propagation signal from the target limb of the body; and

a second acquiring unit configured to acquire the second heartbeat propagation signal from the target limb of the body, the second heartbeat propagation signal and the first heartbeat propagation signal being of different types.

19. The device of claim 17, wherein the identification module comprises:

a first time acquiring unit configured to acquire a first time corresponding to a first feature point on the first heartbeat propagation signal;

a second time acquiring unit configured to acquire a second time corresponding to a second feature point on the second heartbeat propagation signal, the second feature point corresponding to the first feature point; and

an identification unit configured to identify whether the target limb is the left limb or the right limb at least according to a time difference between the first time corresponding to the first feature point and the second time corresponding to the second feature point.

20. The device of claim 19, wherein the identification module further comprises:

a selection strategy determining unit configured to determine a strategy of selecting the first feature point and the second feature point according to a propagation speed relationship between the first heartbeat propagation signal and the second heartbeat propagation signal.

21. The device of claim 19, wherein the identification unit is configured to identify whether the target limb is the left limb or the right limb according to a reference time difference and the time difference between the first time corresponding to the first feature point and the second time corresponding to the second feature point.

22. The device of claim 19, wherein the executable modules further comprise:

a first sensor module configured to acquire first sensor information.

23. The device of claim 22, wherein the identification unit is configured to identify whether the target limb is the left limb or the right limb according to a reference time difference, the first sensor information, and the time difference between the first time corresponding to the first feature point and the second time corresponding to the second feature point.

24. The device of claim 21, wherein the executable modules further comprise:

a reference module configured to determine the reference time difference in advance.

25. The device of claim 17, wherein the executable modules further comprise:

an executing module configured to execute a corresponding operation according to an identification result.

26. The device of claim 17, wherein the executable modules further comprise:

a second sensor module configured to acquire second sensor information; and

a sending module configured to send the identification result and the second sensor information to another device.

27. The device of claim 17, wherein the device is a wearable device.

28. A computer readable storage device, comprising at least one executable instruction, which, in response to execution, causes a device comprising a processor to perform operations, comprising:

receiving a first heartbeat propagation signal and a second heartbeat propagation signal from a target limb of a body; and

identifying whether the target limb is a left limb or a right limb at least according to the first heartbeat propagation signal and the second heartbeat propagation signal.

29. A device, characterized by comprising a processor and a memory, the memory storing executable instructions, the processor being connected to the memory via a communication bus, and when the identification device operates, the processor executes the executable instructions stored in the memory, so that the identification device executes operations, comprising:

measuring a first heartbeat propagation signal and a second heartbeat propagation signal from a target limb of a body; and

identifying whether the target limb is a left limb or a right limb at least according to the first heartbeat propagation signal and the second heartbeat propagation signal.