INTELLIGENT PET MONITORING SYSTEM
Provided are mechanisms and processes for more effectively monitoring pets to enhance caregiving and pet development. In one example, a system includes a pet monitoring device having a plurality of sensors that gather measurement data, such as motion and arousal, from a pet. The system also includes a monitoring hub that receives the measurement data from the pet monitoring device and analyzes the measurement data in relation to a learning receptivity model obtained from a remote platform. The measurement data is analyzed to predict a time and duration when a pet associated with the pet monitoring device will be receptive to learning.
1 . A system comprising:
a pet monitoring device having a plurality of sensors configured to gather measurement data from a pet, the measurement data including motion and arousal; and
a monitoring hub configured to receive the measurement data from the pet monitoring device and analyze the measurement data in relation to a learning receptivity model obtained from a remote platform, the remote platform configured to receive information from a plurality of monitoring hubs associated with a plurality of pet monitoring devices, wherein the measurement data is analyzed to predict a time and duration when an pet associated with the pet monitoring device will be receptive to learning.
2 . The system of claim 1 , wherein the pet monitoring device is wearable as a collar.
3 . The system of claim 1 , wherein the pet monitoring device is wearable as an anklet.
4 . The system of claim 1 , wherein the monitoring hub is further configured to suggest learning content for the pet, wherein the learning content is customized to a developmental stage associated with the pet, and wherein the developmental stage reflects past learning experiences.
5 . The system of claim 1 , further comprising a camera and audio sensor, wherein the monitoring hub receives video and audio data from the camera and audio sensor.
6 . The system of claim 1 , wherein learning receptivity model is periodically refined based on additional sensor data and measurement data received from the plurality of pet monitoring systems.
7 . A method comprising:
receiving measurement data at a monitoring hub, the measurement data obtained from a plurality of sensors associated with a pet monitoring device;
analyzing the measurement data in relation to a learning receptivity model obtained from a remote platform, the remote platform configured to receive information from a plurality of monitoring hubs associated with a plurality of pet monitoring devices; and
predicting a time and duration when a pet associated with the pet monitoring device will be receptive to learning.
8 . The method of claim 7 , wherein the measurement data includes position and movement of the pet.
9 . The method of claim 8 , wherein the measurement data further includes arousal.
10 . The method of claim 7 , wherein the pet monitoring device is wearable as a collar or anklet.
11 . The method of claim 7 , further comprising presenting learning content customized to a developmental stage associated with the pet.
12 . The method of claim 11 , wherein the customized learning content includes informational material for an owner associated with the pet.
13 . The method of claim 11 , wherein the customized learning content includes suggestions for an owner associated with the pet.
14 . The method of claim 7 , further comprising determining a developmental stage associated with the pet based on the measurement data.
15 . The method of claim 14 , wherein predicting a time and duration is based on the developmental stage associated with the pet.
16 . The method of claim 7 , wherein analyzing the measurement data comprises processing the data measurement into an observation about the pet and comparing the observation to the learning receptivity model.
17 . The method of claim 16 , wherein the observation includes one of sleep, mobility, stress, position, comfort, health, vigilance, or articulation.
18 . The method of claim 7 , wherein analyzing the measurement comprises processing the data measurement into an inference about the pet and comparing the inference to the learning receptivity model.
19 . The method of claim 18 , wherein the inference includes one of receptivity to learning, pet well-being, presence of owner, environmental factors, safety of pet, or emotional state of pet.
20 . The method of claim 7 , further comprising presenting learning content customized based on previous learning associated with the pet.