Sensor anomaly detection

A method of identifying anomalous data obtained by at least one sensor of a plurality of sensors located within an environment and communicatively coupled to a communications network, the method comprising:

• generating sensor data by the plurality of sensors that comprises at least one of a sensor of a user device to monitor environmental conditions within an environment or a user-wearable sensor to monitor interactions between a user and the environment;
• identifying, by a computer system based on the generated sensor data obtained from the plurality of sensors via the communications network, at least one instance of a sequence of events that occurred within the environment;
• obtaining, by the computer system, a probability of the sequence of events occurring within the environment under non-anomalous conditions;
• determining, by the computer system, a frequency characteristic dependent on a frequency at which the sequence of events occurred within the environment;
• determining, by the computer system based on a combination of the probability and the frequency characteristic, a likelihood of the sequence of events occurring within the environment at the frequency;
• identifying, by the computer system based on the likelihood, that at least a portion of the sensor data is anomalous;
• and
• initiating an alert by the computer system via the communications network to prompt a check of at least one of:
• at least one sensor of the plurality of sensors, or the environment.