Matches in SemOpenAlex for { <https://semopenalex.org/work/W339476805> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W339476805 abstract "Unsafe driving behaviours can put the driver himself and other people participating in the traffic at risk. Smart-phones with built-in inertial sensors offer a convenient way to passively monitor the driving patterns, from which potentially risky events can be detected. However, it is not trivial to decide which sensor data channel is relevant for the task without domain knowledge, given the growing number of sensors readily available in the phone. Using too many channels can be computationally expensive. Conversely, using too few channels may not provide sufficient information to infer meaningful patterns. We demonstrate Genetic Programming GP technique's capability in choosing relevant data channels directly from raw sensor data. We examine three risky driving events, namely harsh acceleration, sudden braking and swerving in the experiment. GP performance on detecting these unsafe driving behaviours is consistently high on different channel combinations that it decides to use." @default.
- W339476805 created "2016-06-24" @default.
- W339476805 creator A5022987715 @default.
- W339476805 creator A5031318960 @default.
- W339476805 creator A5056403144 @default.
- W339476805 creator A5066862201 @default.
- W339476805 creator A5090893421 @default.
- W339476805 date "2014-01-01" @default.
- W339476805 modified "2023-09-27" @default.
- W339476805 title "Genetic Programming for Channel Selection from Multi-stream Sensor Data with Application on Learning Risky Driving Behaviours" @default.
- W339476805 cites W1503824030 @default.
- W339476805 cites W1591825348 @default.
- W339476805 cites W1620598806 @default.
- W339476805 cites W1979341055 @default.
- W339476805 cites W2018690964 @default.
- W339476805 cites W2065888889 @default.
- W339476805 cites W2083743422 @default.
- W339476805 cites W2086461263 @default.
- W339476805 cites W2123139207 @default.
- W339476805 doi "https://doi.org/10.1007/978-3-319-13563-2_46" @default.
- W339476805 hasPublicationYear "2014" @default.
- W339476805 type Work @default.
- W339476805 sameAs 339476805 @default.
- W339476805 citedByCount "0" @default.
- W339476805 crossrefType "book-chapter" @default.
- W339476805 hasAuthorship W339476805A5022987715 @default.
- W339476805 hasAuthorship W339476805A5031318960 @default.
- W339476805 hasAuthorship W339476805A5056403144 @default.
- W339476805 hasAuthorship W339476805A5066862201 @default.
- W339476805 hasAuthorship W339476805A5090893421 @default.
- W339476805 hasConcept C107457646 @default.
- W339476805 hasConcept C110332635 @default.
- W339476805 hasConcept C117896860 @default.
- W339476805 hasConcept C119857082 @default.
- W339476805 hasConcept C121332964 @default.
- W339476805 hasConcept C127162648 @default.
- W339476805 hasConcept C138885662 @default.
- W339476805 hasConcept C154945302 @default.
- W339476805 hasConcept C162324750 @default.
- W339476805 hasConcept C187736073 @default.
- W339476805 hasConcept C2778707766 @default.
- W339476805 hasConcept C2780451532 @default.
- W339476805 hasConcept C31258907 @default.
- W339476805 hasConcept C41008148 @default.
- W339476805 hasConcept C41895202 @default.
- W339476805 hasConcept C74650414 @default.
- W339476805 hasConcept C79061980 @default.
- W339476805 hasConcept C79403827 @default.
- W339476805 hasConcept C81917197 @default.
- W339476805 hasConcept C8880873 @default.
- W339476805 hasConceptScore W339476805C107457646 @default.
- W339476805 hasConceptScore W339476805C110332635 @default.
- W339476805 hasConceptScore W339476805C117896860 @default.
- W339476805 hasConceptScore W339476805C119857082 @default.
- W339476805 hasConceptScore W339476805C121332964 @default.
- W339476805 hasConceptScore W339476805C127162648 @default.
- W339476805 hasConceptScore W339476805C138885662 @default.
- W339476805 hasConceptScore W339476805C154945302 @default.
- W339476805 hasConceptScore W339476805C162324750 @default.
- W339476805 hasConceptScore W339476805C187736073 @default.
- W339476805 hasConceptScore W339476805C2778707766 @default.
- W339476805 hasConceptScore W339476805C2780451532 @default.
- W339476805 hasConceptScore W339476805C31258907 @default.
- W339476805 hasConceptScore W339476805C41008148 @default.
- W339476805 hasConceptScore W339476805C41895202 @default.
- W339476805 hasConceptScore W339476805C74650414 @default.
- W339476805 hasConceptScore W339476805C79061980 @default.
- W339476805 hasConceptScore W339476805C79403827 @default.
- W339476805 hasConceptScore W339476805C81917197 @default.
- W339476805 hasConceptScore W339476805C8880873 @default.
- W339476805 hasLocation W3394768051 @default.
- W339476805 hasOpenAccess W339476805 @default.
- W339476805 hasPrimaryLocation W3394768051 @default.
- W339476805 hasRelatedWork W2012514493 @default.
- W339476805 hasRelatedWork W2063279394 @default.
- W339476805 hasRelatedWork W2081084776 @default.
- W339476805 hasRelatedWork W2117699765 @default.
- W339476805 hasRelatedWork W2135801466 @default.
- W339476805 hasRelatedWork W2255437255 @default.
- W339476805 hasRelatedWork W2367262107 @default.
- W339476805 hasRelatedWork W2471684272 @default.
- W339476805 hasRelatedWork W2699699589 @default.
- W339476805 hasRelatedWork W2753391720 @default.
- W339476805 hasRelatedWork W2811281735 @default.
- W339476805 hasRelatedWork W2887310007 @default.
- W339476805 hasRelatedWork W2969839024 @default.
- W339476805 hasRelatedWork W3004465982 @default.
- W339476805 hasRelatedWork W3084751412 @default.
- W339476805 hasRelatedWork W3090445635 @default.
- W339476805 hasRelatedWork W3090560975 @default.
- W339476805 hasRelatedWork W778969090 @default.
- W339476805 hasRelatedWork W2609120631 @default.
- W339476805 hasRelatedWork W2881703692 @default.
- W339476805 isParatext "false" @default.
- W339476805 isRetracted "false" @default.
- W339476805 magId "339476805" @default.
- W339476805 workType "book-chapter" @default.