Patent ID: 11906678
Assignee: JAPAN AGENCY FOR MARINE-EARTH SCIENCE AND TECHNOLOGY
Field: Measurement (Instruments)
Classification: CPC G  H | IPC G

Claim 5:
6. A seismic observation method performed by at least one processor of a seismic observation device, the method comprising:
receiving input of time-series data of measurement values of a vibration from one or more sensors;
retrieving a trained model that is trained according to machine learning;
analyzing, by the trained model, the time-series data to determine a time period of the time-series data that is a processing; and
detecting, during the time period, a trigger indicating a vibration different from a normal vibration; and
acquiring, based upon detection of the trigger, a likelihood of classifying a cause of the vibration indicated in the time-series data in the time period, wherein the cause is classified as at least one of a near-field earthquake, a far-field earthquake, a low frequency earthquake, an artificial earthquake, a micro-earthquake, and a volcanic earthquake.