Publication
Person Localization Using Sensor Information Fusion
| dc.contributor.author | Anacleto, Ricardo | |
| dc.contributor.author | Figueiredo, Lino | |
| dc.contributor.author | Almeida, Ana | |
| dc.contributor.author | Novais, Paulo | |
| dc.date.accessioned | 2015-04-30T11:08:34Z | |
| dc.date.available | 2015-04-30T11:08:34Z | |
| dc.date.issued | 2014 | |
| dc.date.updated | 2015-01-28T16:24:56Z | |
| dc.description.abstract | Nowadays the incredible grow of mobile devices market led to the need for location-aware applications. However, sometimes person location is difficult to obtain, since most of these devices only have a GPS (Global Positioning System) chip to retrieve location. In order to suppress this limitation and to provide location everywhere (even where a structured environment doesn’t exist) a wearable inertial navigation system is proposed, which is a convenient way to track people in situations where other localization systems fail. The system combines pedestrian dead reckoning with GPS, using widely available, low-cost and low-power hardware components. The system innovation is the information fusion and the use of probabilistic methods to learn persons gait behavior to correct, in real-time, the drift errors given by the sensors. | por |
| dc.identifier.citation | Anacleto, Ricardo; Figueiredo, Lino; Almeida, Ana; Novais, Paulo. Person Localization Using Sensor Information Fusion, In Ambient Intelligence - Software and Applications, 53-61, ISBN: 978-3-319-07595-2. Cham: Springer International Publishing, 2014. | por |
| dc.identifier.doi | 10.1007/978-3-319-07596-9_6 | |
| dc.identifier.isbn | 978-3-319-07595-2 | |
| dc.identifier.uri | http://hdl.handle.net/10400.22/5866 | |
| dc.language.iso | eng | por |
| dc.publisher | Springer International Publishing | por |
| dc.relation.ispartofseries | Advances in Intelligent Systems and Computing;Vol. 291 | |
| dc.relation.publisherversion | http://link.springer.com/chapter/10.1007/978-3-319-07596-9_6 | por |
| dc.subject | Pedestrian Navigation System | por |
| dc.subject | Inertial Navigation System | por |
| dc.subject | Indoor Location | por |
| dc.subject | GPS | por |
| dc.subject | Probabilistic Algorithms | por |
| dc.title | Person Localization Using Sensor Information Fusion | por |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.citation.conferencePlace | Salamanca | por |
| oaire.citation.endPage | 61 | por |
| oaire.citation.startPage | 53 | por |
| oaire.citation.title | 5th International Symposium on Ambient Intelligence | por |
| oaire.citation.volume | 291 | por |
| person.familyName | Figueiredo | |
| person.givenName | Lino | |
| person.identifier.ciencia-id | D21E-663F-11CE | |
| person.identifier.orcid | 0000-0002-9375-4228 | |
| person.identifier.scopus-author-id | 7006640438 | |
| rcaap.rights | openAccess | por |
| rcaap.type | conferenceObject | por |
| relation.isAuthorOfPublication | 2b4c1659-86b2-453f-ab78-a3f2d3b81169 | |
| relation.isAuthorOfPublication.latestForDiscovery | 2b4c1659-86b2-453f-ab78-a3f2d3b81169 |
Files
Original bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- COM2_Ranacleto_2014_GECAD.information.fusion.pdf
- Size:
- 1.47 MB
- Format:
- Adobe Portable Document Format
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description: