Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ahn, Dae Han | - |
dc.contributor.author | Park, Ho Min | - |
dc.contributor.author | Hwang, Seok Hyun | - |
dc.contributor.author | Park, Tae Joon | - |
dc.date.available | 2017-06-29T08:16:00Z | - |
dc.date.created | 2017-04-20 | - |
dc.date.issued | 2017-02 | - |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11750/2098 | - |
dc.description.abstract | Existing smartphone-based solutions to prevent distracted driving suffer from inadequate system designs that only recognize simple and clean vehicle-boarding actions, thereby failing to meet the required level of accuracy in real-life environments. In this paper, exploiting unique sensory features consistently monitored from a broad range of complicated vehicle-boarding actions, we propose a reliable and accurate system based on fuzzy inference to classify the sides of vehicle entrance by leveraging built-in smartphone sensors only. The results of our comprehensive evaluation on three vehicle types with four participants demonstrate that the proposed system achieves 91.1%∼94.0% accuracy, outperforming other methods by 26.9%∼38.4% and maintains at least 87.8% accuracy regardless of smartphone positions and vehicle types. © 2017 by the authors; licensee MDPI, Basel, Switzerland. | - |
dc.language | English | - |
dc.publisher | MDPI AG | - |
dc.title | Reliable identification of vehicle-boarding actions based on fuzzy inference system | - |
dc.type | Article | - |
dc.identifier.doi | 10.3390/s17020333 | - |
dc.identifier.scopusid | 2-s2.0-85012285904 | - |
dc.identifier.bibliographicCitation | Sensors, v.17, no.2 | - |
dc.description.isOpenAccess | TRUE | - |
dc.subject.keywordAuthor | driver identification | - |
dc.subject.keywordAuthor | fuzzy inference system | - |
dc.subject.keywordAuthor | vehicle-boarding actions | - |
dc.subject.keywordAuthor | inertial sensors | - |
dc.subject.keywordAuthor | driving while distracted | - |
dc.citation.number | 2 | - |
dc.citation.title | Sensors | - |
dc.citation.volume | 17 | - |