‧ 專利名稱
‧ 專利證書號	I746914 11301759
‧ 專利權人	國立臺灣大學
‧ 專利國家     (申請日)	美國 (2017/12/28) 中華民國 (2018/12/18)
‧ 單位	資訊工程學系
‧ 發明人 / PI	林風,張濤,葉恩豪,林昕學,李家朋,張惜隆,
‧ 簡歷 / Experience

According to one embodiment of the invention, a detective method, applied in a detective system comprising a activity-or-behavior model constructor, for activity-or-behavior model construction and automatic detection of activities of a subject system, comprising steps of: using an unsupervised machine learning technique to preprocess and analyze raw sensor data obtained from the monitored subject system to generate post data; with the post data as input, using a Natural Language Processing technique (NLP) to discover the activities or behaviors performed by the subject system; and with output data from the NLP technique as input, using a surprised machine learning technique to build an activity-or-behavior model for predicting the future behaviors of the subject system and automatically detecting abnormal activities or behaviors of the subject system; wherein the activity-or-behavior model is capable to handle multidimensional sensor data input from a plurality of sensor data streams and incorporate the sensor data values and a selected temporal information about at least one sensor data stream and between different sensor data streams.

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