Methods and systems for context based anomaly monitoring

Abstract

Various embodiments include methods, and computing devices configured to implement the methods, for anomaly monitoring using context-based sensor output correlation. A computing device may obtain output of a first sensor and may determine that an anomaly is likely to occur based on the obtained output of the first sensor. The computing device may transmit a message indicating that the anomaly is likely to occur, causing receiving computing devices to begin logging output of sensors of the receiving computing devices. The computing device may determine whether the anomaly did occur. If the anomaly did occur, the computing device may transmit a sensor output request. Nearby computing devices may receive this sensor output request and may transmit collected sensor data to the first computing device. The first computing device may receive the sensor output collected by the various receiving devices and may correlate the first sensor output with the received sensor output.