Abstract: An abnormality detecting system for detecting an abnormality of an animal that is a monitoring target is provided. The abnormality detecting system includes a inferring unit configured to infer on a per-predeterinined-time-period basis whether a ruminating action of an animal that is a monitoring target occurs, by inputting time-series data from a motion sensor placed on a predetermined portion of the animal into a time-series model; and a determining unit configured to calculate a rumination rate that is a rate at which the inferring unit infers that the ruminating action occurs, and, in response to the rumination rate satisfying a predetermined condition, determine that an abnormality of the animal is detected.

Abstract: An abnormality detecting system includes a first identification unit configured to identify a state of an animal that is a monitoring target in each time range, based on time-series data from a motion sensor placed on a predetermined portion of the animal that is a monitoring target; a first calculation unit configured to calculate a transition probability from the state at a predetermined timing of each time range identified by the first identification unit to a next state; and a determining unit configured to determine that an abnormality of the animal that is a monitoring target is detected when a score calculated based on the transition probability to the next state satisfies a predetermined condition.