Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
Inertial Sensor-Based Indoor Pedestrian Localization for IPhones
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Vy T.D. | - |
| dc.contributor.author | Nguyen T.L.N. | - |
| dc.contributor.author | Shin Y. | - |
| dc.date.available | 2020-03-18T03:20:11Z | - |
| dc.date.created | 2020-03-18 | - |
| dc.date.issued | 2019-10 | - |
| dc.identifier.issn | 0000-0000 | - |
| dc.identifier.uri | http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/35581 | - |
| dc.description.abstract | This paper proposes a new approach to solve the tracking problem for iPhones (e.g., iPhone 7) in indoor environments when Wi-Fi access point density is low. Different from the Android-based platforms, localization apps that run on iPhones are more strictly controlled by Apple. With a self localization scenario, a mobile iPhone receives signals from the Wi-Fi access points and interprets the received signals as ambient information for localizing its position in an area of interest. It also employs the inertial measurement units for navigation task. We improve the conventional pedestrian reckoning method by reducing drifting effects caused by user's walking style. Experiment results validate the effectiveness of the proposed scheme. © 2019 IEEE. | - |
| dc.language | 영어 | - |
| dc.language.iso | en | - |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
| dc.relation.isPartOf | ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future | - |
| dc.title | Inertial Sensor-Based Indoor Pedestrian Localization for IPhones | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.1109/ICTC46691.2019.8939832 | - |
| dc.type.rims | ART | - |
| dc.identifier.bibliographicCitation | ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future, pp.200 - 203 | - |
| dc.description.journalClass | 1 | - |
| dc.identifier.scopusid | 2-s2.0-85078236870 | - |
| dc.citation.endPage | 203 | - |
| dc.citation.startPage | 200 | - |
| dc.citation.title | ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future | - |
| dc.contributor.affiliatedAuthor | Shin Y. | - |
| dc.type.docType | Conference Paper | - |
| dc.description.isOpenAccess | N | - |
| dc.subject.keywordAuthor | drifting effect reduction | - |
| dc.subject.keywordAuthor | indoor localization | - |
| dc.subject.keywordAuthor | inertial sensors | - |
| dc.subject.keywordAuthor | pedestrian dead reckoning | - |
| dc.subject.keywordAuthor | step-heading system tracking | - |
| dc.subject.keywordPlus | Inertial navigation systems | - |
| dc.subject.keywordPlus | Smartphones | - |
| dc.subject.keywordPlus | Wireless local area networks (WLAN) | - |
| dc.subject.keywordPlus | Ambient information | - |
| dc.subject.keywordPlus | Indoor environment | - |
| dc.subject.keywordPlus | Indoor localization | - |
| dc.subject.keywordPlus | Inertial measurement unit | - |
| dc.subject.keywordPlus | Inertial sensor | - |
| dc.subject.keywordPlus | Pedestrian dead reckonings | - |
| dc.subject.keywordPlus | System tracking | - |
| dc.subject.keywordPlus | Wi-fi access points | - |
| dc.subject.keywordPlus | Indoor positioning systems | - |
| dc.description.journalRegisteredClass | scopus | - |
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Information Technology > ETC > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Related Researcher
- Shin, Yo an
- College of Information Technology (Department of IT Convergence)