System, method, and apparatus for pet condition detection

A non-transitory computer-readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to:

• receive sensor data associated with a pet captured by one or more sensors, wherein the one or more sensors are associated with a wearable device worn by or attached to the pet, the sensor data including:
• a time value corresponding to when the pet performed an activity, and
• an intensity point corresponding to when the pet performed the activity-
• detect an orientation of the wearable device, wherein the orientation is calculated based on rotation data of the wearable device;
• transform the sensor data into a consistent coordinate system based on the orientation of the wearable device, wherein transforming the sensor data includes modifying the sensor data based on the rotation data;
• execute an algorithm to generate a baseline value for the activity based on aggregated activity data of a plurality of similar pets, wherein the plurality of similar pets comprises pet data of a same pet breed, a same pet age, or a same pet weight as the pet;
• predict one or more health indicators corresponding to the pet based on the transformed sensor data, wherein the one or more health indicators include one or more metrics associated with the activity;
• execute the algorithm on the one or more health indicators to generate a wellness assessment of the pet, wherein the wellness assessment includes an energy expenditure wellness value of the pet determined based on the time value the pet performed the activity at the intensity point compared to a goal intensity point, wherein the goal intensity point is calculated based on the baseline value for the activity and the received intensity point for the pet;
• determine a pet recommendation by inputting the wellness assessment of the pet into a prediction module trained on previous pet data corresponding to the pet, wherein the pet recommendation includes a medical recommendation or a product recommendation;
• and
• transmit an alert that includes the pet recommendation to a user interface of a user device.

A system comprising:

• one or more processors;
• and
• a memory storing instructions that, when executed by the one or more processors, cause the processors to:
• receive sensor data associated with a pet captured by one or more sensors, wherein the one or more sensors are associated with a wearable device worn by or attached to the pet, the sensor data including:
• a time value corresponding to when the pet performed an activity, and
• an intensity point corresponding to when the pet performed the activity-
• detect an orientation of the wearable device, wherein the orientation is calculated based on rotation data of the wearable device;
• transform the sensor data into a consistent coordinate system based on the orientation of the wearable device, wherein transforming the sensor data includes modifying the sensor data based on the rotation data;
• execute an algorithm to generate a baseline value for the activity based on aggregated activity data of a plurality of similar pets, wherein the plurality of similar pets comprises pet data of a same pet breed, a same pet age, or a same pet weight as the pet;
• predict one or more health indicators corresponding to the pet based on the transformed sensor data, wherein the one or more health indicators include one or more metrics associated with the activity;
• execute the algorithm on the one or more health indicators to generate a wellness assessment of the pet, wherein the wellness assessment includes an energy expenditure wellness value of the pet determined based on the time value the pet performed the activity at the intensity point compared to a goal intensity point, wherein the goal intensity point is calculated based on the baseline value for the activity and the received intensity point for the pet;
• determine a pet recommendation by inputting the wellness assessment of the pet into a prediction module trained on previous pet data corresponding to the pet, wherein the pet recommendation includes a medical recommendation or a product recommendation;
• and
• transmit an alert that includes the pet recommendation to a user interface of a user device.