| Presentation | 2013/5/9 Updating Indoor Positioning Model using Pedestrian Dead-Reckoning DAISUKE TANIUCHI, TAKUYA MAEKAWA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper proposes a new method for automatically updating a WiFi indoor positioning model by employing sensor data obtained from the body-worn sensors of a specific user who spends a lot of time in a given environment (e.g., a worker in the environment). In this work, we attempt to track the user with pedestrian dead reckoning techniques, and at the same time we obtain WiFi scan data from a mobile device possessed by the user. With the scan data and the estimated coordinates, we can automatically create a pair consisting of a scan and its corresponding indoor coordinates during the user's daily life, and update signal strength fingerprints by using the information. With this approach, we try to cope with the instability of WiFi based positioning methods caused by changing environmental dynamics, i.e., layout changes and moving or removal of WiFi access points. And so ordinary users who do not wear rich sensors can benefit from the continually updating positioning model. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Wi-Fi fingerprinting / sensor / pedestrian dead reckoning / particle filter |
| Paper # | Vol.2013-UBI-38 No.55 |
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| Conference Information | |
| Committee | ASN |
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| Conference Date | 2013/5/9(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Vice Chair | |
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| Paper Information | |
| Registration To | Ambient intelligence and Sensor Networks(ASN) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Updating Indoor Positioning Model using Pedestrian Dead-Reckoning |
| Sub Title (in English) | |
| Keyword(1) | Wi-Fi fingerprinting |
| Keyword(2) | sensor |
| Keyword(3) | pedestrian dead reckoning |
| Keyword(4) | particle filter |
| 1st Author's Name | DAISUKE TANIUCHI |
| 1st Author's Affiliation | Graduate School of Information Science and Technology, Osaka University() |
| 2nd Author's Name | TAKUYA MAEKAWA |
| 2nd Author's Affiliation | Graduate School of Information Science and Technology, Osaka University |
| Date | 2013/5/9 |
| Paper # | Vol.2013-UBI-38 No.55 |
| Volume (vol) | vol.113 |
| Number (no) | 38 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |