Sensor-based Tracking of Variable Locomotion

• US 20110035185A1
• Filed: 08/10/2009
• Published: 02/10/2011
• Est. Priority Date: 08/10/2009
• Status: Abandoned Application

• Current Assignee: Martin Gierich, Matthias Fendler, Thorsten Habel
• Original Assignee: Martin Gierich, Matthias Fendler, Thorsten Habel
• Inventors: Gierich, Martin, Fendler, Matthias, Habel, Thorsten
• Application Number:
  US12/538,690
• Publication Number:
  US 20110035185A1
• Time in Patent Office: Days
• US Class Current: 702/160
• CPC Class Codes: G01C 22/006 Pedometers

Abstract

The invention relates to a method, device and system for the sensor-based tracking of a variable locomotion, and, in particular, to a method, device and system for acceleration-sensor based measurement of the highly erratic movement of a team sports player. The method comprises continuously measuring acceleration values corresponding to the locomotion of a person. For a single step of the person, a type of locomotion is determined by analyzing a temporal sequence of acceleration values of a portion of the acceleration values corresponding to the single step. Further, a swing time and at least one characterizing acceleration value are determined from the acceleration values for the single step and the step length is determined based on the type of locomotion, the swing time and the at least one characterizing acceleration value.

Claims

1. A method of measuring movement of a person, the method comprising the computer implemented steps of:

continuously measuring acceleration values associated with the locomotion of a person with an acceleration sensor;

determining with a processing means, for a step of the person, a type of locomotion by analyzing a temporal sequence of acceleration values of a portion of the acceleration values corresponding to the step;

determining with said processing means, for the step, a swing time and at least one characterizing acceleration value from the acceleration values; and

determining with said processing means a step length based on the type of locomotion, the swing time and the at least one characterizing acceleration value.

2. The method according to claim 1, further comprising the step of:

calculating a velocity associated with the locomotion of the person based on the step length.

3. The method according to claim 1 or 2, further comprising:

determining with said processing means a step length for each portion of the acceleration values; and

calculating with said processing means the distance covered by the person based on of the determined step lengths.

4. The method according to one of claims 1 to 3, further comprising the step of:

storing a plurality of parameter sets, each set assigned to a type of locomotion, wherein the determining a step length comprises applying a parameter set assigned to the determined type of locomotion.

5. The method according to claim 4, wherein one or more of the plurality of parameter sets further correspond to at least one of:

a velocity range;

a characteristic of acceleration values corresponding to a sequence of steps; and

data corresponding to a person, comprising physical properties of the person including age, weight and fitness level, and/or individually input selection parameters.

6. The method according to claim 4, further comprising the step of:

calibrating a parameter set by comparing step lengths, derived distances or velocities, which are determined based on the parameter set, with step lengths, distances or velocities determined with an optical tracking system, and applying the results of the comparison to the parameter set.

7. The method according to claim 1, wherein:

the acceleration values are multi-dimensional acceleration values sensed by at least one acceleration sensor;

the analyzing a temporal sequence of acceleration values comprises analyzing a first one-dimensional component of the multi-dimensional acceleration values; and

the at least one characterizing acceleration value comprises characterizing acceleration values for at least two one-dimensional components of the multi-dimensional acceleration values comprising the first one-dimensional component.

8. The method according to claim 1, wherein the at least one characterizing acceleration value determined for a step is based on a maximum, minimum, mean or weighted mean of corresponding acceleration values.

9. The method according to claim 1, wherein the acceleration values are measured with at least one acceleration sensor attached to one or more limbs of the person.

10. A measuring device for measuring movement of a person, the device comprising:

at least one acceleration sensor for continuously measuring acceleration values associated with the locomotion of a person in at least two dimensions;

a storing means for storing a plurality of parameter sets, each set assigned to a type of locomotion; and

a processing means for assigning a type of locomotion to a step of the person by analyzing a temporal sequence of acceleration values of a portion of the acceleration values corresponding to the step;

determining, for the step, a swing time and at least one characterizing acceleration value from the acceleration values; and

determining a step length based on the swing time, the at least one characterizing acceleration value and the type of locomotion.

11. The measuring device according to claim 10, wherein

the processing means is further adapted to calculate a velocity associated with the locomotion of the person from the step length and/or to determine a step length for each portion of the acceleration values;

and/or to calculate the distance covered by the person based on the determined step lengths.

12. The measuring device according to claim 10, further comprising

a communication means for exchanging data with at least one of a receiver device, a game ball and a computing device.

13. The measuring device according to claim 10, wherein the measuring device is a foot pod adapted for attachment to a sports shoe or insertion into a shoe sole.

14. A system comprising the measuring device according to claim 10, further comprising

a receiver device for receiving data from the measuring device, storing the data, displaying a graphical representation of the data and/or transmitting sets of the stored data to a computing device.

15. A system according to claim 14, further comprising

a game ball adapted to send touch detection signals to the measuring device.