Step length estimation method and portable terminal for the same

• US 8,280,678 B2
• Filed: 10/31/2007
• Issued: 10/02/2012
• Est. Priority Date: 10/31/2006
• Status: Active Grant

• Current Assignee: Samsung Electronics Co. Ltd., Seoul National University Industry Foundation (Seoul National University)
• Original Assignee: Samsung Electronics Co. Ltd., Seoul National University Industry Foundation (Seoul National University)
• Inventors: Lee, Jae-Myeon, Hong, Hyun-Su, Park, Chan-Gook, Kim, Jin-Won, Park, Kyong-Ha, Oh, Ji-Heon
• Primary Examiner(s): Le, Toan M
• Application Number:
  US11/932,192
• Publication Number:
  US 20080120062A1
• Time in Patent Office: 1,798 Days
• Field of Search: 702/160, 702/127, 702/149, 702/158, 702/179, 702/199, 702/33, 702/41, 702/57, 702141-142, 702/155, 702189-195, 377/24.2, 337/00, 337/01, 701/200, 701/217, 701/300, 701/400, 701/500, 701/527, 701/534, 701/538, 701/541, 700 28- 34, 700/52, 700 61- 64, 700/67, 700/69
• US Class Current: 702/160
• CPC Class Codes: G01C 22/006 Pedometers

Abstract

An apparatus and method for estimating a step length of a user are provided. The apparatus and method use a step length estimation algorithm, e.g. a step length estimation parameter coefficient, according to a movement state of a user, i.e. whether the movement state is a walking state or a running state. The movement state of the user is determined on the basis of an acceleration variance value of an acceleration signal output from an accelerometer. Accordingly, the apparatus and method prevent errors in step length determinations.

Claims

1. A portable terminal comprising:

an accelerometer for detecting and outputting an acceleration signal of at least one axis;

a step detection unit for determining an acceleration variance value from the acceleration signal by performing a sliding window summation;

a movement state determination unit for determining, when steps are detected by the step detection unit, whether a movement state of a user comprises a running state or a walking state based on a comparison between the acceleration variance value and a critical value, wherein the movement state determination unit determines that the movement state comprises the running state if the acceleration variance value is larger than the critical value, and determines that the movement state comprises the walking state if the acceleration variance value is smaller than the critical value; and

a step length estimation unit for estimating a step length of the user using a different step length estimation algorithm corresponding to each of the determined running state and walking state.

2. A portable terminal according to claim 1, wherein the step detection unit squares the acceleration signal of the at least one axis, summates a resultant square value and performs the sliding window summation and a low-pass filtering on the summated value.

3. A portable terminal according to claim 1, wherein the step length estimation unit estimates a step length of the user using different step length estimation parameter coefficients corresponding to each of the determined running state and walking state.

4. The portable terminal of claim 1, wherein the step detection unit determines the acceleration variance value based on at least three axes of the acceleration signal.

5. A step length estimation method in a portable terminal, the method comprising:

determining, by a step detection unit, an acceleration variance value from an acceleration signal of at least one axis by performing a sliding window summation;

determining, by a movement state determination unit, when steps are detected by the step detection unit, whether a movement state of a user comprises a running state or a walking state based on a comparison between the acceleration variance value and a critical value, wherein the determining of the movement state of the user comprises determining that the movement state comprises the running state if the acceleration variance value is larger than the critical value, and determining that the movement state comprises the walking state if the acceleration variance value is smaller than the critical value; and

estimating, by a step length estimation unit, a step length of the user using a different step length estimation algorithm corresponding to each of the determined running state and walking state.

6. A method according to claim 5, further comprising:

squaring the acceleration signal of the at least one axis;

summating a resultant square value; and

performing the sliding window summation and a low-pass filtering on the summated value.

7. A method according to claim 5, wherein the estimating of the step length of the user comprises using different step length estimation parameter coefficients corresponding to each of the determined running state and walking state.

8. The method of claim 5, wherein the determining of the acceleration variance value comprises determining the acceleration variance value based on at least three axes of the acceleration signal.

9. A portable device comprising:

a step detection unit for determining an acceleration variance value of at least one axis by performing a sliding window summation;

a movement state determination unit for determining, when steps are detected by the step detection unit, whether a movement state of a user comprises a running state or a walking state based on a comparison between the acceleration variance value and a critical value, wherein the movement state determination unit determines that the movement state comprises the running state if the acceleration variance value is larger than the critical value, and determines that the movement state comprises the walking state if the acceleration variance value is smaller than the critical value; and

a step length estimation unit for estimating a step length of the user using a different step length estimation algorithm corresponding to each of the determined running state and walking state.

10. A portable device according to claim 9, further comprising an accelerometer for detecting and outputting the acceleration signal of the at least one axis, wherein the step detection unit determines the acceleration variance value from the acceleration signal.

11. A portable device according to claim 10, wherein the step detection unit squares the acceleration signal of the at least one axis, summates a resultant square value and performs the sliding window summation and a low-pass filtering on the summated value.

12. A portable device according to claim 9, wherein the step length estimation unit estimates the step length of the user using different step length estimation parameter coefficients corresponding to each of the determined running state and walking state.