METHOD AND SYSTEM FOR MEASURING THE MOBILITY OF AN ANIMAL

• US 20120274442A1
• Filed: 11/02/2010
• Published: 11/01/2012
• Est. Priority Date: 11/02/2009
• Status: Abandoned Application

• Current Assignee: ECOW Devon Limited
• Original Assignee: Ecow Limited
• Inventors: Mottram, Toby
• Application Number:
  US13/505,393
• Publication Number:
  US 20120274442A1
• Time in Patent Office: Days
• US Class Current: 340/5.8
• CPC Class Codes: A01K 29/005 Monitoring or measuring activity, e.g. detecting heat or mating
• CPC Class Codes: A61B 5/1038 Measuring plantar pressure during gait

Abstract

A method and system to measure and record the mobility score of quadrupeds is disclosed. The method and system determines when an animal is walking and measures dynamic parameters to assess gait and derive a mobility score.

Claims

1. A method for measuring the mobility score of an animal, the method comprising the steps of:

detecting the animal walking in a mobility sensing zone;

determining the identity of the walking animal;

determining the time taken by the identified animal to walk through the mobility sensing zone;

storing the determined time in an individual record for the identified animal in a database;

repeating the steps of detecting the animal, determining the identity, determining the time and storing the determined time; and

calculating the mobility score based on the individual record.

2. A method according to claim 1, wherein detecting the animal walking in the mobility sensing zone comprises wirelessly sensing an identification device mounted on the animal.

3. A method according to claim 2, wherein the identification device is an RFID ear tag.

4. A method according to claim 3, further comprising the steps of:

sensing data by a sensing device mounted on the identified animal; and

recording the sensed data in the individual record,

wherein the step of calculating comprises performing a statistical analysis of the data recorded in the database.

5. A method according to claim 4, wherein the sensing device is a sensing collar comprising at least one accelerometer and wherein the sensed data includes acceleration data in one, two or three dimensions.

6. A method according to claim 5, wherein the statistical analysis includes at least one of determining curtosis, using Kalman filters, determining peak accelerations in each of the three directions, identifying asymmetry in movement patterns and performing Fast Fourier Transform analysis.

7. A method according to claims 6, wherein the data is recorded at a frequency rate of 1-250 Hz whilst the animal is walking in the mobility sensing zone.

8. A method according to claim 7, wherein walking in the mobility sensing zone comprises walking in a sensing passageway provided with a camera for obtaining images of the walking animal, the method further comprising the steps of:

obtaining at least one image of the animal as it walks through the passageway;

determining at least one gait parameter from the at least one image;

storing the at least one gait parameter in the individual record;

repeating the steps of obtaining at least one image, determining at least one gait parameter and storing at least one gait parameter.

9. A method according to claim 8, wherein said step of calculating the mobility score is based on the at least one gait parameter.

10. A method according to claim 9, wherein the sensing passageway comprises means for controlling the walking of the animal.

11. A method according to claims 10, wherein the sensing passageway comprises means for controlling the lighting.

12. A method according to claims 11, wherein the camera obtains lateral images of the walking animal.

13. A system for measuring the mobility score of an animal, the system comprising:

a mobility sensing zone;

means for detecting the animal walking in the mobility sensing zone;

means for determining the identity of the walking animal;

means for determining the time taken by the identified animal to walk through the mobility sensing zone;

a database for storing the determined time in an individual record for the identified animal; and

a central processor for calculating the mobility score based on the individual record.

14. A system according to claim 13, wherein an identification device is mounted on the animal and wherein the means for detecting the animal walking comprises a wireless system for wirelessly sensing the identification device.

15. A system according to claim 14, wherein the identification device is an RFID ear tag.

16. A method for measuring the mobility score of an animal, the method comprising the steps of:

detecting the animal walking in a mobility sensing zone by wirelessly sensing an identification device mounted on the animal, said mobility sensing zone comprising a sensing passageway provided with a camera for obtaining images of the walking animal;

determining the identity of the walking animal;

determining the time taken by the identified animal to walk through the mobility sensing zone;

storing the determined time in an individual record for the identified animal in a database;

repeating the steps of detecting the animal, determining the identity, determining the time and storing the determined time;

calculating the mobility score based on the individual record;

sensing data by a sensing device mounted on the identified animal;

recording the sensed data in the individual record;

obtaining at least one image of the animal as it walks through the passageway;

determining at least one gait parameter from the at least one image;

storing the at least one gait parameter in the individual record; and

repeating the steps of obtaining at least one image, determining at least one gait parameter and storing at least one gait parameter,

wherein the step of calculating comprises performing a statistical analysis of the data recorded in the database.

17. A method according to claim 16, wherein the identification device is an RFID ear tag, wherein the sensing device is a sensing collar comprising at least one accelerometer, and wherein the sensed data includes acceleration data in one, two or three dimensions.

18. A method according to claim 17, wherein the statistical analysis includes at least one of determining curtosis, using Kalman filters, determining peak accelerations in each of the three directions, identifying asymmetry in movement patterns and performing Fast Fourier Transform analysis.

19. A method according to claim 18, wherein calculating the mobility score is based on the at least one gait parameter.

20. A method according to claim 16, wherein the sensing passageway comprises means for controlling the walking of the animal and means for controlling the lighting, and wherein the camera obtains lateral images of the walking animal.