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dc.contributor.authorErden, F.en_US
dc.contributor.authorÇetin, A.en_US
dc.date.accessioned2016-02-08T10:39:20Z
dc.date.available2016-02-08T10:39:20Z
dc.date.issued2014en_US
dc.identifier.issn0098-3063
dc.identifier.urihttp://hdl.handle.net/11693/25113
dc.description.abstractIn this paper, a multimodal hand gesture detection and recognition system using differential Pyroelectric Infrared (PIR) sensors and a regular camera is described. Any movement within the viewing range of the differential PIR sensors are first detected by the sensors and then checked if it is due to a hand gesture or not by video analysis. If the movement is due to a hand, one-dimensional continuous-time signals extracted from the PIR sensors are used to classify/recognize the hand movements in real-time. Classification of different hand gestures by using the differential PIR sensors is carried out by a new winner-takeall (WTA) hash based recognition method. Jaccard distance is used to compare the WTA hash codes extracted from 1-D differential infrared sensor signals. It is experimentally shown that the multimodal system achieves higher recognition rates than the system based on only the on/off decisions of the analog circuitry of the PIR sensors.en_US
dc.language.isoEnglishen_US
dc.source.titleInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/TCE.2014.7027342en_US
dc.subjectHand gesture recognitionen_US
dc.subjectInfrared sensorsen_US
dc.subjectSensor fusionen_US
dc.subjectWavelet transformen_US
dc.subjectWinner-take-all (WTA) hash methoden_US
dc.titleHand gesture based remote control system using infrared sensors and a cameraen_US
dc.typeArticleen_US
dc.departmentDepartment of Electrical and Electronics Engineering
dc.citation.spage675en_US
dc.citation.epage680en_US
dc.citation.volumeNumber60en_US
dc.citation.issueNumber4en_US
dc.identifier.doi10.1109/TCE.2014.7027342en_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.identifier.eissn1558-4127


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