Method, a device and a system for detecting a state of an animal

• US 10,517,276 B2
• Filed: 06/16/2014
• Issued: 12/31/2019
• Est. Priority Date: 06/14/2013
• Status: Active Grant

• Current Assignee: Dairymaster
• Original Assignee: Dairymaster
• Inventors: Harty, Edmond Patrick, Mullane, Liam Eoghan, Daly, John Gerard
• Primary Examiner(s): Cerioni, Daniel L
• Application Number:
  US14/897,496
• Publication Number:
  US 20160165851A1
• Time in Patent Office: 2,024 Days
• Field of Search: 600595
• CPC Class Codes: A01K 11/006 Automatic identification systems for animals, e.g. electronic devices, transponders for animals identification systems for access to feeding pens A01K1/0209; ear tags with electronic identification means A01K11/004
• CPC Class Codes: A01K 29/005 Monitoring or measuring activity, e.g. detecting heat or mating
• CPC Class Codes: A61B 2503/40 Animals
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/1114 Tracking parts of the body
• CPC Class Codes: A61B 5/1118 Determining activity level
• 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 5/7246 using correlation, e.g. template matching or determination of similarity
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61D 17/002 for detecting period of heat of animals, i.e. for detecting oestrus for humans A61B10/0012

Abstract

A device (5) attached to the neck (6) of an animal (2) comprises an accelerometer (28) which produces first and second signals indicative of movement of the animal (2) and the raised and lowered states of the head of the animal. A microprocessor (30) in the device (5) processes the first and second signals to detect ruminating, resting, feeding and three activity states of the animal during respective second predefined time periods of approximately 15 minutes duration. Data indicative of the states of the animal is stored by the microprocessor (30) in the device (5) and periodically transmitted to a cloud computer server which further processes the data to determine various health states and other issues of the animal.

Claims

1. A method for detecting at least one detectable state of an animal, the method comprising:

locating an acceleration sensor on or in the animal, the acceleration sensor configured to produce signals indicative of movement of the head of the animal,

providing a signal processor configured to read signals from the acceleration sensor,

operating the signal processor

to read a first signal from the acceleration sensor indicative of movement of the head of the animal,

to compute a mean magnitude value of the first signal during each predefined time period of a plurality of predefined time periods,

to count the positive and negative peaks of the first signal during each predefined time period, absolute magnitude values of which with reference to a mean magnitude value lie within a predefined range of absolute magnitude values, and

to compute a maximum peak to peak value of the first signal during each predefined time period as a sum of absolute magnitude values of a maximum positive peak value with reference to the mean magnitude value and a maximum negative peak value with reference to the mean magnitude value of the first signal during that predefined time period,

wherein the signal processor is configured to detect the detectable state of the animal as ruminating in any one of the predefined time periods in response to at least one of

the count of the positive and negative peaks of the first signal which lie within the predefined range of absolute magnitude values exceeding a predefined ruminating threshold count during that predefined time period, and

the computed maximum peak to peak value of the first signal lying between a lower predefined peak to peak threshold value and an upper predefined peak to peak threshold value during that predefined time period.

2. A method as claimed in claim 1 in which the signal processor is configured to detect ruminating in any one of the predefined time periods in response to

the count of the positive and negative peaks of the first signal which lie within the predefined range of absolute magnitude values exceeding a predefined ruminating threshold count during that predefined time period, and

the computed maximum peak to peak value of the first signal lying between the lower predefined peak to peak threshold value and the upper predefined peak to peak threshold value during that predefined time period.

3. A method as claimed in claim 1 in which the signal processor is configured to detect one of the detectable states of the animal as resting in any one of the predefined time periods in response to at least one of

the count of the positive and negative peaks of the first signal which lie within the predefined range of absolute magnitude values not exceeding the ruminating predefined threshold count during that predefined time period, and

the computed maximum peak to peak value of the first signal not exceeding a resting predefined peak to peak threshold value during that predefined time period.

4. A method as claimed in claim 3 in which the signal processor is configured to detect one of the detectable states of the animal as a feeding state in any one of the predefined time periods in response to at least one of

the maximum peak to peak value of the first signal being greater than or equal to the resting predefined peak to peak threshold value during that predefined time period, and either one of the following:

the count of the positive and negative peaks of the first signal, the absolute magnitude values of which lie within the predefined range of absolute magnitude values exceeding a predefined feeding threshold count during that predefined time period, and

a second signal from a head status sensor attached to the animal indicative of raised and lowered states of the head of the animal being indicative of the head of the animal being in the lowered state during that predefined time period.

5. A method as claimed in claim 4 in which the signal processor is configured to detect one of the detectable states of the animal as an active state in response to the animal being detected as not being ruminating, resting or feeding in any one of the predefined time periods.

6. A method as claimed in claim 4 in which the acceleration sensor comprises an accelerometer configured to produce the first signal indicative of acceleration to which the accelerometer is subjected along a first axis thereof, and the second signal indicative of acceleration to which the accelerometer is subjected along a second axis thereof perpendicular to the first axis, and the accelerometer is attached to the animal with the first axis thereof extending substantially perpendicularly to the back of the neck of the animal, and in a generally upwardly, downwardly direction, and the second axis thereof extending substantially parallel to the back of the neck of the animal.

7. A method as claimed in claim 1 in which the signal processor is configured to detect the detectable state of the animal as a high activity state in any one of the predefined time periods in response to the count of the positive and negative peaks of the first signal, the absolute magnitude values of which with reference to the mean magnitude value of the first signal exceed a first predefined peak threshold value during that predefined time period exceeding a first predefined peak threshold count during that predefined time period.

8. A method as claimed in claim 7 in which the signal processor is configured to detect one of the detectable states of the animal as a medium activity state in any one of the predefined time periods in response to one of

the count of the positive and negative peaks of the first signal, the absolute magnitude values of which with reference to the mean magnitude value of the first signal exceed the first predefined peak threshold value lying between a second predefined peak threshold count and one less than the first predefined peak threshold count during that predefined time period, and

the count of the positive and negative peaks of the first signal, the absolute magnitude values of which with reference to the mean magnitude value of the first signal exceed a second predefined peak threshold value during that predefined time period exceeding a third predefined peak threshold count during that predefined time period.

9. A method as claimed in claim 8 in which the signal processor is configured to detect one of the detectable states of the animal as a low activity state in any one of the predefined time periods in response to

the computed maximum peak to peak value of the first signal exceeding a resting predefined peak to peak threshold value during that predefined time period, and

the count of the positive and negative peaks, the absolute magnitude values of which with reference to the mean magnitude value of the first signal exceed the second predefined peak threshold value during that predefined time period being less than the third predefined peak threshold count during that predefined time period.

10. A method as claimed in claim 1 in which the number of the predefined time periods the animal is detected as being in each detectable state is stored.

11. A method as claimed in claim 1 in which the number of the predefined time periods the animal is detected as being in each detectable state is stored and analysed by a computing means.

12. A method as claimed in claim 11 in which the computing means is a remotely located computing means, and the stored data relating to the number of the predefined time periods the animal is in each detectable state is wirelessly communicated to the remotely located computing means.

13. A method as claimed in claim 12 in which the stored data relating to the number of the predefined time periods the animal is in each detectable state is wirelessly communicated to the remotely located computing means by a relay station.

14. A method as claimed in claim 1 in which the method further comprises the step of, when said detectable state of the animal is detected as ruminating, providing an indication of the detected ruminating state at a location remote from said animal.

15. A method as claimed in claim 1 in which data indicative of at least one predefined location visited by the animal is stored, and one of the time at which the animal visited the at least one predefined location and the duration of the visit to the at least one predefined location is stored.

16. A device for detecting at least one detectable state of an animal, the device being configured for locating on or in the animal and comprising:

an acceleration sensor configured to produce signals indicative of movement of a head of the animal, and

a signal processor configured to

read a first signal from the acceleration sensor indicative of movement of the head of the animal,

compute a mean magnitude value of the first signal during each predefined time period of a plurality of predefined time periods,

count positive and negative peaks of the first signal during each predefined time period, absolute magnitude values of which with reference to the mean magnitude value lie within a predefined range of absolute magnitude values, and

compute the maximum peak to peak value of the first signal during each predefined time period as a sum of the absolute magnitude values of a maximum positive peak value with reference to the mean magnitude value and a maximum negative peak value with reference to the mean magnitude value of the first signal during that predefined time period

wherein the signal processor is configured to detect the detectable state of the animal as ruminating in any one of the predefined time periods in response to at least one of

the count of the positive and negative peaks of the first signal which lie within the predefined range of absolute magnitude values exceeding a predefined ruminating threshold count during that predefined time period, and

the computed maximum peak to peak value of the first signal lying between a lower predefined peak to peak threshold value and an upper predefined peak to peak threshold value during that predefined time period.

17. A device as claimed in claim 16 in which the signal processor is configured to detect ruminating in any one of the predefined time periods in response to

the count of the positive and negative peaks of the first signal which lie within the predefined range of absolute magnitude values exceeding a predefined ruminating threshold count during that predefined time period, and

the computed maximum peak to peak value of the first signal lying between the lower predefined peak to peak threshold value and the upper predefined peak to peak threshold value during that predefined time period.

18. A device as claimed in claim 16 in which the signal processor is configured to detect one of the detectable states of the animal as resting in any one of the predefined time periods in response to at least one of

the count of the positive and negative peaks of the first signal which lie within the predefined range of absolute magnitude values not exceeding the ruminating predefined threshold count during that predefined time period, and

the computed maximum peak to peak value of the first signal not exceeding a resting predefined peak to peak threshold value during that predefined time period.

19. A device as claimed in claim 18 in which the signal processor is configured to detect one of the detectable states of the animal as a feeding state in any one of the predefined time periods in response to at least one of

the maximum peak to peak value of the first signal being greater than or equal to the resting predefined peak to peak threshold value during that predefined time period, and either one of the following:

the count of the positive and negative peaks of the first signal, the absolute magnitude values of which lie within the predefined range of absolute magnitude values exceeding a predefined feeding threshold count during that predefined time period, and

a second signal from a head status sensor attached to the animal indicative of raised and lowered states of the head of the animal being indicative of the head of the animal being in the lowered state during that predefined time period.

20. A device as claimed in claim 19 in which the acceleration sensor comprises the head status sensor, and the acceleration sensor is configured to produce the second signal indicative of the raised and lowered states of the head of the animal.

21. A device as claimed in claim 19 in which the signal processor is configured to detect one of the detectable states of the animal as an active state in response to the animal being detected as not being ruminating, resting or feeding in any one of the predefined time periods.

22. A device as claimed in claim 16 in which the device further comprises a state notification means for, when said detectable state of the animal is detected as ruminating, providing an indication of the detected ruminating state at a location remote from said animal.

23. A device as claimed in claim 16 in which the device comprises a near field communications (NFC) module for facilitating communicating in an NFC protocol between the device and a powered mobile smart device.

24. A system for determining at least one detectable state of an animal, the system comprising the device as claimed in claim 16, and a remote computing means configured to wirelessly receive data from the device indicative of the state of the animal.

25. A device as claimed in claim 16 in which the signal processor is configured to detect the detectable state of the animal as a high activity state in any one of the predefined time periods in response to the count of the positive and negative peaks of the first signal, the absolute magnitude values of which with reference to the mean magnitude value of the first signal exceed a first predefined peak threshold value during that predefined time period exceeding a first predefined peak threshold count during that predefined time period.

26. A device as claimed in claim 25 in which the signal processor is configured to detect one of the detectable states of the animal as a medium activity state in any one of the predefined time periods in response to one of

the count of the positive and negative peaks of the first signal, the absolute magnitude values of which with reference to the mean magnitude value of the first signal exceed the first predefined peak threshold value lying between a second predefined peak threshold count and one less than the first predefined peak threshold count during that predefined time period, and

the count of the positive and negative peaks of the first signal, the absolute magnitude values of which with reference to the mean magnitude value of the first signal exceed a second predefined peak threshold value during that predefined time period exceeding a third predefined peak threshold count during that predefined time period.

27. A device as claimed in claim 26 in which the signal processor is configured to detect one of the detectable states of the animal as a low activity state in any one of the predefined time periods in response to

the computed maximum peak to peak value of the first signal exceeding a resting predefined peak to peak threshold value during that predefined time period, and

the count of the positive and negative peaks, the absolute magnitude values of which with reference to the mean magnitude value of the first signal exceed the second predefined peak threshold value during that predefined time period being less than the third predefined peak threshold count during that predefined time period.