Systems and methods for animal health monitoring

An animal monitoring system, comprising an animal monitoring device including:

• a platform configured to carry contained litter thereabove;
• three or more load sensors associated with the platform, wherein individual load sensors of the three or more load sensors are separated from one another and receive pressure input from the platform independent of one another, wherein the three or more load sensors individually have a sampling rate in a range of 2.5 Hz to 110 Hz;
• and
• a data communicator configured to independently communicate the load data from the three or more load sensors,
• wherein the animal monitoring system further comprises:
• a processor;
• and
• a memory storing instructions that, when executed by the processor, instruct the processor to perform the steps of:
• receiving the load data from the data communicator,
• determining if the load data is from an animal interaction with the animal monitoring device,
• recognizing an animal behavior property if the load data is from the animal interaction, and
• classifying the animal behavior property into an animal classified event using a machine learning classifier;
• tracking a movement pattern of the animal based on the load sensor data;
• and
• identifying the animal based on the load data, and
• distinguishing the animal from at least one other animal that interacts with the contained litter.