Estimating velocity in a horizontal or vertical direction from acceleration measurements

• US 9,835,644 B2
• Filed: 08/17/2012
• Issued: 12/05/2017
• Est. Priority Date: 08/18/2011
• Status: Active Grant

• Current Assignee: Koninklijke Philips N.V.
• Original Assignee: Koninklijke Philips N.V.
• Inventors: Ten Kate, Warner Rudolph Theophile
• Primary Examiner(s): Desta, Elias
• Application Number:
  US14/236,392
• Publication Number:
  US 20140156216A1
• Time in Patent Office: 1,936 Days
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/1117 Fall detection
• CPC Class Codes: A61B 5/7225 Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation A61B5/30, A61B5/316 take precedence; transformers for specific applications H01F38/00; amplifiers H03F
• CPC Class Codes: G01P 15/00 Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration
• CPC Class Codes: G01P 7/00 Measuring speed by integrating acceleration measuring travelled distance by double integration of acceleration G01C21/16
• CPC Class Codes: G08B 21/043 detecting an emergency event, e.g. a fall
• CPC Class Codes: G08B 21/0446 worn on the body to detect changes of posture, e.g. a fall, inclination, acceleration, gait

Abstract

There is provided a method of determining an estimate of the velocity of a device in a horizontal or vertical direction, the method comprising obtaining measurements of the acceleration acting on the device in three dimensions; using a first filter and the obtained measurements to estimate acceleration due to gravity; estimating the acceleration acting in a horizontal or vertical direction due to motion of the device using the estimated acceleration due to gravity; integrating the estimate of the acceleration acting in said direction due to motion of the device to give an estimate of velocity in said direction; and using a second filter to remove offset and/or drift from the velocity to give a filtered velocity; wherein at least one of the first filter and second filter is a non-linear filter. An apparatus configured to operate according to the above method is also provided.

Claims

1. A method of determining an estimate of the velocity of a fall detection device in a horizontal or vertical direction, the method comprising:

obtaining with an accelerometer of the device acceleration measurements of an acceleration acting on the device in three dimensions;

using, by a processor of the device, a first filter and the obtained acceleration measurements to estimate acceleration due to gravity;

estimating with the processor the acceleration acting in a horizontal or vertical direction due to motion of the device using the estimated acceleration due to gravity;

integrating with the processor the estimate of the acceleration acting in said direction due to motion of the device to give an estimate of the velocity in said direction; and

using, by the processor, a second filter to remove offset and/or drift from the velocity to give a filtered velocity;

wherein at least one of the first filter and second filter is a non-linear filter.

2. A method as claimed in claim 1, wherein the step of using a first filter and the obtained measurements to estimate acceleration due to gravity comprises:

estimating the acceleration acting in a vertical direction on the device from the obtained measurements; and

applying the first filter to the estimate of the acceleration acting in a vertical direction to estimate the acceleration due to gravity;

wherein the step of estimating the acceleration comprises estimating the acceleration acting in a vertical direction due to motion of the device; and

wherein the step of estimating the acceleration acting in a vertical direction due to motion of the device using the estimated acceleration due to gravity comprises;

subtracting the estimated acceleration due to gravity from the estimated acceleration acting in a vertical direction to give the estimate of the acceleration acting in a vertical direction due to motion of the device.

3. A method as claimed in claim 1, wherein the step of using a first filter and the obtained measurements to estimate acceleration due to gravity comprises:

applying the first filter to the obtained measurements to estimate the acceleration due to gravity in three dimensions;

and wherein the step of estimating the acceleration acting in a horizontal or vertical direction due to motion of the device using the estimated acceleration due to gravity comprises;

using the estimated acceleration due to gravity to estimate the acceleration acting in a horizontal or vertical direction from the obtained measurements;

and wherein when the acceleration acting in vertical direction due to motion of the device is estimated, the step of estimating the acceleration acting in a vertical direction due to motion of the device using the estimated acceleration due to gravity further comprises;

subtracting the estimated acceleration due to gravity from the estimated acceleration acting in the vertical direction to give the estimate of the acceleration acting in the vertical direction due to motion of the device.

4. A method as claimed in claim 1, wherein the operation of the first filter comprises:

downsampling an input signal; and

applying a non-linear filter to the downsampled signal.

5. A method as claimed in claim 4, wherein the step of downsampling comprises generating a plurality of downsampled signals, each having a respective phase;

and wherein the step of applying the non-linear filter comprises applying the non-linear filter to each of the plurality of downsampled signals.

6. A method as claimed in claim 5, wherein the operation of the first filter further comprises:

combining the plurality of filtered signals into a single signal; and

upsampling the single signal to the original sampling rate.

7. A method as claimed in claim 5, wherein the operation of the first filter further comprises:

upsampling each of the plurality of filtered signals; and

combining the plurality of upsampled filtered signals into a single signal.

8. A method as claimed in claim 4, wherein the operation of the first filter further comprises:

prior to the step of downsampling, applying a low-pass filter to the input signal to produce a low-pass filtered signal;

wherein the step of downsampling comprises downsampling the low-pass filtered signal to a rate based on the cut-off frequency of the low-pass filter.

9. A method as claimed in claim 1, wherein the operation of the second filter comprises:

computing the median value in each of a plurality of subwindows centered at or near a sample of interest in an input signal; and

adapting the window size of a median filter used to generate an output value for the sample of interest based on the computed median values, wherein the window size that is used to generate the output value is larger than that of the subwindow centered on the sample of interest if the median value of the subwindow centered on the sample of interest is the maximum or minimum of the plurality of median values.

10. A method as claimed in claim 1, wherein the non-linear filter is selected from a median filter, a weighted median filter, a recursive median filter and a mode filter.

11. A method as claimed in claim 1, further comprising the step of:

estimating the position or height of the device by integrating the filtered velocity;

or

estimating the horizontal displacement or change in height of the device by summing the filtered velocity estimates in a time window over which the displacement or change in height is to be calculated.

15. A computer program product, comprising a computer readable medium having computer program code embodied therein, the computer program code being configured such that, upon execution by a computer or processor, the computer or processor performs the method as claimed in claim 1.

12. An apparatus, comprising:

processing means that are configured to;

receive measurements of an acceleration acting on a device in three-dimensions from acquired with an accelerometer of the apparatus;

use, with a processor of the apparatus, a first filter and the measurements of the acceleration to estimate acceleration due to gravity;

estimate with the processor the acceleration acting in a horizontal or vertical direction due to motion of the device using the estimated acceleration due to gravity;

integrate with the processor the estimate of the acceleration acting in said direction due to motion of the device to give an estimate of velocity in said direction; and

use, with the processor, a second filter to remove offset and/or drift from the velocity to give a filtered velocity;

wherein at least one of the first filter and second filter used by the processing means is a non-linear filter.

13. A device that is configured to be worn by a user, the device comprising:

an accelerometer that measures the acceleration acting on the device in three-dimensions; and

an apparatus as claimed in claim 12.

14. A system, comprising:

a device that is configured to be worn by a user, the device comprising an accelerometer that measures the acceleration acting on the device in three-dimensions; and

a base unit that is configured to communicate with the device, and that comprises an apparatus as claimed in claim 12.