著者

米田 圭佑 望月 祐洋 西尾 信彦

出版者

一般社団法人情報処理学会

雑誌

情報処理学会論文誌 (ISSN:18827764)

巻号頁・発行日

vol.56, no.1, pp.260-272, 2015-01-15

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スマートフォンの搭載デバイス群から得たデータ解析による趣味嗜好抽出やコンテキスト認識の研究がさかんである.気圧センサは標高に関係する情報を取得でき,低消費電力でありながら行動認識に利用できるセンサとして期待されている.本論文ではユーザの状態を屋内状態と屋外状態に大別し,それぞれの状態において気圧センサを用いた行動認識手法を提案する.屋内状態では気圧変化量に着目した滞在階層推定を,屋外状態では軌道上移動の気圧推移に着目した現在地推定を行う.評価実験より,1度に+18階の階層移動の場合であっても正常に階層推定できていることを確認した.軌道上移動における現在地推定では,推定結果の75%においてGPS測位による位置情報との誤差が0.5km未満で推定できたことを確認した.A variety of studies have been conducted on context recognition as well as hobby and preference extraction by analyzing the data obtained from the sensors in a smartphone. As a smartphone component, a barometer is expected to be useful for activity recognition because of its low power consumption. In this work, we propose an activity recognition method of classifying a user's state into indoor and outdoor states and using a barometer at each state. In the proposed method, the floor of a building on which a user is located is estimated by determining atmospheric pressure variations sensed in the indoor state, and the user's location is estimated by determining atmospheric pressure variations according to the user movement along a track in the outdoor state. We confirmed that it is possible to closely estimate the current floor-level of the building in the case of user movement among eighteen floors at a time. On the other hand, we confirmed that in 75% of the results of the user's location estimation, the difference between the estimated location information and GPS location information is less than 0.5km.