Indoor Positioning Platform based on Integration of Dead-Reckoning and WLAN positioning

2015 Fiscal Year Final Research Report

• Project/Area Number: 25730056
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Information network
• Research Institution: Aichi Institute of Technology (2015); Nagoya University (2013-2014)
• Principal Investigator: Kaji Katsuhiko 愛知工業大学, 情報科学部, 准教授 (40466412)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Keywords: 屋内位置推定 / コーパス / スマートフォン / 歩行センシングデータ

Outline of Final Research Achievements

In activity sensing using wearable　sensors, higher accuracy can be expected from detection of zones in which there is continuously little change in the states of the sensor signals than from detection of zones in which there are large changes in the sensor signals within a short time. We focus on such stability of sensing signal and, as an application example, we used the concept to estimate walking direction on the basis of stable walking zone detection using a gyrometer and estimation of movement between the floors of a building by detection of stable floor zones with an air pressure sensor. We then integrated these estimations to obtain a 3-D pedestrian trajectory.
I also developed two corpora named HASC-IPSC and Ubicomp/ISWC 2015 PDR Challenge Corpus. These corpora contains many pedestrian sensing data is included. HASC-IPSC is already in use. I plan to open Ubicomp/ISWC 2015 PDR Challenge Corpus in Sep. 2016.

Free Research Field

モバイルコンピューティング