The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 03, 2023

Filed:

Apr. 30, 2020
Applicant:

Ntt Docomo, Inc., Chiyoda-ku, JP;

Inventors:

Keiichi Ochiai, Chiyoda-ku, JP;

Naoki Yamamoto, Chiyoda-ku, JP;

Takashi Hamatani, Chiyoda-ku, JP;

Yusuke Fukazawa, Chiyoda-ku, JP;

Assignee:

NTT DOCOMO, INC., Chiyoda-ku, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 67/306 (2022.01); H04L 67/50 (2022.01); G06F 11/34 (2006.01);
U.S. Cl.
CPC ...
H04L 67/535 (2022.05); G06F 11/3476 (2013.01); H04L 67/306 (2013.01);
Abstract

A feature extraction device is a device that extracts a feature quantity to be input to a state estimation model for estimating a state related to a terminal where the activity is executed or a user of the terminal, which includes an acquisition unit that acquires activity history information indicating an execution history of the activity in a specified period of time and including time-series activity logs, an extraction unit that extracts co-occurrence relationship information indicating a co-occurrence relationship of activities in a specified period of time based on the activity history information, a generation unit that aggregates activity feature quantities indicating a feature of each activity based on the co-occurrence relationship information and generates an activity history feature quantity indicating a feature of the activity history information, and an output unit that outputs the activity history feature quantity as a feature quantity to be input to the state estimation model.


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