紀要論文

個人適応型サービスのための室内環境におけるユーザー行動推定

User’s Behavior Estimations in the Indoor Environment for Individual Adaptive Services

jpn

18810667

https://doi.org/10.15002/00009881

法政大学大学院情報科学研究科

8

217

222

2013-03

Version of Record

Now, there are many digital services which are provided to all people in informed forms. If special characteristics of a user can be extracted, it would be possible to provide more useful and personalized services to the individual user. The locations and actions are important context information to extract a user's personalized characteristics. In the indoor environment where the global position system doesn 't work well, a user location may be determined by other technologies such as RFID and Wireless-LAN (WLAN). When Using RFID, many tags should be preset in an indoor environment and thus it is not cost-effective. When using WLAN, multiple access points must be setup, but the stable and precise positioning is hard to be achieved due to environmental complexity and massive computations. It is necessary to precisely detect a user's location without adding extra burden to a user. Therefore, in this research, a WiFi equipped in a smart phone carried by a user is first exploited to detect a rough indoor position, and then an accelerometer embedded in the smart phone is used to estimate the user's exact locations and actions such as still, walking, going up/down stair, taking elevator, being a room, etc. The paper presents the combined location estimation technique and the whole prototype system.

Article

AA12222297