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Hand Based Gesture Recognition inside a Car through IR-UWB Radar
- Authors
- Khan, Faheem; Cho, Sung Ho
- Issue Date
- Jan-2017
- Publisher
- 대한전자공학회
- Keywords
- Gesture recognition; feature extraction; UWB radar; human hand; neural network; training
- Citation
- 2017 International Conference on Electronics, Information, and Communication, pp.154 - 157
- Indexed
- OTHER
- Journal Title
- 2017 International Conference on Electronics, Information, and Communication
- Start Page
- 154
- End Page
- 157
- Abstract
- In this paper, the gesture recognition through IR-UWB 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.
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Collections - 서울 공과대학 > 서울 융합전자공학부 > 1. Journal Articles
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