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dc.contributor.author조성호-
dc.date.accessioned2019-05-28T04:24:42Z-
dc.date.available2019-05-28T04:24:42Z-
dc.date.issued2017-01-
dc.identifier.citation대한전자공학회 학술대회, page. 154-157en_US
dc.identifier.urihttp://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE07110482-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/106113-
dc.description.abstractIn this paper, the gesture recognition through IRUWB radar is discussed. The gestures are made by human hand in front of the radar inside a car. The gestures can be used to control different electronics devices inside a car. The gestures vary among each other through different parameters such as change in displacement of the hand, change in magnitude and surface area of the hand. In the first part of the experiments, we train all the gestures by using neural networks and in the second part any gesture made by the human hand is compared to the gestures database and hence gesture recognition is done.en_US
dc.language.isoenen_US
dc.publisher대한전자공학회en_US
dc.subjectGesture recognitionen_US
dc.subjectfeature extractionen_US
dc.subjectUWB radaren_US
dc.subjecthuman handen_US
dc.subjectneural networken_US
dc.subjecttrainingen_US
dc.titleHand Based Gesture Recognition inside a Car through IR-UWB Radaren_US
dc.typeArticleen_US
dc.relation.page1-4-
dc.contributor.googleauthorKhan, Faheem-
dc.contributor.googleauthorCho, Sung Ho-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF ELECTRONIC ENGINEERING-
dc.identifier.piddragon-
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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