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Event Detection Based on Deep Learning Using Audio and Radar Sensors
- Kim, Taeho;
- Noh, Kyoungjin;
- Kim, Jaeha;
- Youn, Jeongnam;
- Chang, Joon Hyuk
Citations
SCOPUS
1초록
In this paper, we propose event detection based on deep learning using audio and radar. The proposed event detection technique combines the two deep-learning models based on the audio signal and radar signal. The data set used research is consist of five indoor events., It showed better performance than the event detection using audio or radar single data.
키워드
Convolutional Neural Network; Deep Learning; Ensemble Model; Feature Extraction; Digital integrated circuits; Feature extraction; Neural networks; Tracking radar; Audio signal; Convolutional neural network; Ensemble modeling; Event detection; Indoor Events; Learning models; Radar sensors; Radar signals; Deep learning
- 제목
- Event Detection Based on Deep Learning Using Audio and Radar Sensors
- 저자
- Kim, Taeho; Noh, Kyoungjin; Kim, Jaeha; Youn, Jeongnam; Chang, Joon Hyuk
- 발행일
- 2018-11
- 유형
- Conference Paper
- 저널명
- Proceedings of 2018 6th IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2018
- 페이지
- 179 ~ 182