Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 조성호 | - |
dc.date.accessioned | 2019-05-28T04:24:42Z | - |
dc.date.available | 2019-05-28T04:24:42Z | - |
dc.date.issued | 2017-01 | - |
dc.identifier.citation | 대한전자공학회 학술대회, page. 154-157 | en_US |
dc.identifier.uri | http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE07110482 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/106113 | - |
dc.description.abstract | In 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.iso | en | en_US |
dc.publisher | 대한전자공학회 | en_US |
dc.subject | Gesture recognition | en_US |
dc.subject | feature extraction | en_US |
dc.subject | UWB radar | en_US |
dc.subject | human hand | en_US |
dc.subject | neural network | en_US |
dc.subject | training | en_US |
dc.title | Hand Based Gesture Recognition inside a Car through IR-UWB Radar | en_US |
dc.type | Article | en_US |
dc.relation.page | 1-4 | - |
dc.contributor.googleauthor | Khan, Faheem | - |
dc.contributor.googleauthor | Cho, Sung Ho | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF ELECTRONIC ENGINEERING | - |
dc.identifier.pid | dragon | - |
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