@techreport{oai:ipsj.ixsq.nii.ac.jp:00186000,
 author = {梶岡, 慎輔 and 佐久間, 拓人 and 西, 和弥 and 梅津, 佑太 and 烏山, 昌幸 and 玉木, 徹 and 前川, 卓也 and 打矢, 隆弘 and 松尾, 啓志 and 竹内, 一郎 and Shinsuke, Kajioka and Takuto, Sakuma and Kazuya, Nishi and Yuta, Umezu and Masayuki, Karasuyama and Toru, Tamaki and Takuya, Maekawa and Takahiro, Uchiya and Hiroshi, Matsuo and Ichiro, Takeuchi},
 issue = {39},
 month = {Feb},
 note = {名古屋工業大学では大学構内に約 1600 台設置した BLE （Bluetooth Low Energy） ビーコン発信機を利用してスマートフォンの位置を推定するシステムを運用している．我々は，このシステムを利用してヒトの移動軌跡を収集 ・ 分析して特徴的な移動パターンを抽出する試みを行っている．本稿では，被験者 169 名を対象とした大規模な移動軌跡データ収集実験を実施し，収集した移動軌跡データを用いて比較パターン抽出を行った結果を述べる．実験では，被験者がスマートフォンを持ち歩き，画面に表示される目的地までの推定距離を指標として被験者が目的地に辿り着くまでに受信したビーコン情報を移動軌跡データとして収集した．実験で得られたデータを被験者の性別で区分して比較パターン抽出した結果，男女それぞれに特徴的な移動パターンが抽出された．, In Nagoya Institute of Technology, we have developed a localization framework using BLE (Blue-tooth Low Energy) beacons to estimate location of students for automated roll call. About 1600 of BLE beacon emitters have been installed in our campus. We are challenging to gather and analyze human trajectory using the localization framework. In this paper, we introduce human trajectory data gathering experiment which is held on Nov. 24-25, 2017 in our campus. 169 subjects participated and 671 trajectory trips are collected during the experiment. Each subject carries around with his/her smartphone during the experiment to receive BLE beacons and send them to a data gathering server. The human trajectory data gathering server receives BLE beacons from smartphones and stores them to its database. We also show results of comparative pattern mining. By segmenting subjects by gender, we have obtained characteristic trajectory pattern from each of male and female groups.},
 title = {ヒト移動軌跡データからの比較パターン抽出},
 year = {2018}
}