SYSTEM AND METHOD FOR WELLNESS ASSESSMENT OF A PET

1 . A computer-implemented method for monitoring pet activity, the method comprising:

receiving data related to a pet from a wearable device comprising a sensor;

determining based on the data one or more health indicators of the pet;

performing a wellness assessment of the pet based on the one or more health indicators of the pet;

transmitting the wellness assessment of the pet to a mobile device; and

displaying the wellness assessment of the pet at the mobile device using a graphical user interface,

wherein the determining further comprises:

processing the data via an activity recognition model; and

determining the one or more health indicators based on an output of the activity recognition model.

2 - 4 . (canceled)

5 . The method according to claim 1 , wherein the activity recognition model is a deep neural network comprising two or more layer modules, wherein each of the layer modules includes at least one of a many-to-many approach, striding, downsampling, pooling, multi-scaling, or batch normalization.

6 . (canceled)

7 . The method according to claim 1 , wherein each of the layer modules can be represented as: FLM type (w out , s, k, p drop , b BN ), where the type is a convolutional neural network (CNN), w out is a number of output channels, s is a stride ratio, k is a kernel length, p drop is a dropout probability, and b BN is a batch normalization.

8 . The method according to claim 1 , further comprising:

transmitting a request to a pet owner or caregiver to provide feedback on the one or more health indicators of the pet;

the feedback from the pet owner or caregiver; and

training the activity recognition model based on the feedback from the pet owner or caregiver.

9 .- 11 . (canceled)

12 . The method according to claim 1 , wherein the one or more health indicators comprise a metric for licking, scratching, itching, walking, or sleeping by the pet.

13 . The method according to claim 1 , wherein the data comprises a location of the pet, wherein the location is determined using a global positioning system.

14 - 16 . (canceled)

17 . The method according to claim 1 , further comprising:

determining a health recommendation or fitness nudge for the pet based on the wellness assessment; and

transmitting the health recommendation or fitness nudge to the mobile device.

18 .- 20 . (canceled)

21 . A wearable device, comprising:

a housing, wherein the housing comprises

a top cover,

a base coupled with the top cover,

a sensor for monitoring data related to a pet,

a transceiver for transmitting the data related to the pet,

an indicator, and

wherein the indicator is at least one of an illumination device, a sound device, or a vibrating device and the indicator is positioned on the top cover.

22 . The wearable device according to claim 21 , wherein the indicator is configured to be turned on after the wearable device has exited a geo-fence zone.

23 .- 26 . (canceled)

27 . The wearable device according to claim 21 , wherein the illumination device is positioned within the housing and includes a light or a light emitting diode configured to illuminate at least the top cover of the wearable device.

28 . (canceled)

29 . The wearable device according to claim 21 , wherein the top cover includes a top surface and a sidewall depending from an outer periphery of the top surface.

30 . (canceled)

31 . The wearable device according to claim 21 , wherein the housing defines a receiving port to receive a cable therein.

32 . The wearable device according to claim 21 , wherein the housing includes an attachment device, wherein the attachment device is coupled to a collar band.

33 . A method for monitoring pet activity, the method comprising:

monitoring a location of a wearable device;

determining that the wearable device has exited a geo-fence zone based on the location of the wearable device; and

instructing the wearable device to turn on an indicator after determining that the wearable device has exited the geo-fence zone, wherein the indicator is at least one of an illumination device, a sound device, or a vibrating device.

34 . The method according to claim 33 , further comprising:

determining that the wearable device has entered the geo-fence zone; and

turning off the indicator when the wearable device has entered the geo-fence zone.

35 . The method according to claim 34 , wherein the determining that the wearable device has entered the geo-fence zone is a determination that the wearable device has re-entered the geo-fence zone after having exited the geo-fence zone.

36 . The method according to claim 33 ,

further comprising:

receiving instructions from a mobile device to turn off the indicator, wherein the mobile device comprises an application that allows a user to turn off the indicator.

37 . The method according to claim 33 , wherein the instructing of the wearable device to turn on the indicator comprises turning on a light or a light emitting diode of the illumination device.

38 . The method according to claim 33 , further comprising:

receiving the location of the wearable device via a global positioning system (GPS) receiver.

39 . The method according to claim 33 , wherein the monitoring of the location of the wearable device further comprises:

identifying an active wireless network within a vicinity of the wearable device; or

identifying that the active wireless network is no longer in the vicinity of the wearable device.

40 .- 74 . (canceled)