According to the present invention, provided is a system for analyzing a sleep-related behavior pattern using multi-modal sensor data, which comprises: a user device attached to a body of a user to collect data through a sensor module; and a computing device recognizing behavior of the user from the data, generating a behavior sequence set based on an order relationship of the recognized behavior of the user, performing clustering for the behavior of the user into a sleep behavior and a non-sleep behavior of the user based on the behavior sequence set, and extracting a pattern of the non-sleep behavior associated with the sleep behavior through association analysis between the clustered non-sleep behavior and sequences including time information of the sleep behavior to provide the pattern to the user device.;COPYRIGHT KIPO 2020
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