Systems and methods for pet mobility detection

A computer system for canine mobility detection, the computer system comprising:

• at least one memory storing instructions;
• and
• at least one processor configured to execute the instructions to perform operations comprising:
• processing mobility data captured by a device attached to a canine, the processing including determining one or more metrics based on the mobility data, the one or more metrics including velocity information, cadence information, acceleration information, and entropy information of the canine;
• analyzing canine data corresponding to the canine to determine at least one baseline canine, wherein the at least one baseline canine is similar to the canine;
• for each of the one or more metrics, comparing the one or more metrics of the canine to one or more baseline metrics of the at least one baseline canine;
• determining one or more scores for each of the one or more metrics, the one or more scores based on a normal range of the one or more metrics from the one or more baseline metrics of the at least one baseline canine;
• and
• displaying at least one alert on one or more user interfaces of a user device, the at least one alert indicating that an average of the one or more scores is above a threshold.

A non-transitory computer-readable medium storing instructions that, when executed by at least one processor, cause the at least one processor to perform operations for canine mobility detection, the operations comprising:

• processing mobility data captured by a device attached to a canine, the processing including determining one or more metrics based on the mobility data, the one or more metrics including velocity information, cadence information, acceleration information, and entropy information of the canine;
• analyzing canine data corresponding to the canine to determine at least one baseline canine, wherein the at least one baseline canine is similar to the canine;
• for each of the one or more metrics, comparing the one or more metrics of the canine to one or more baseline metrics of the at least one baseline canine;
• determining one or more scores for each of the one or more metrics, the one or more scores based on a normal range of the one or more metrics from the one or more baseline metrics of the at least one baseline canine;
• and
• displaying at least one alert on one or more user interfaces of a user device, the at least one alert indicating that an average of the one or more scores is above a threshold.