Acknowledgement
본 논문은 2021년도 정부 (과학기술정보통신부)의 재원으로 정보통신기획평가원의 지원을 받아 수행되었으며 (No. 2019-0-00056, 2020-0-00201), CAD tool은 IDEC에 의해 지원되었음.
References
- A. T. Campbell et al., "The rise of people-centric sensing," IEEE Internet Computing, Vol. 12, No. 4, pp. 12-21, Jul-Aug. 2008. https://doi.org/10.1109/MIC.2008.90
- L. M. Dang, K. B. Min, H. Wang, M. J. Piran, C. H. Lee, H. J Moon, "Sensor-based and vision-based human activity recognition: a comprehensive survey," Pattern Recognition, Vol. 108, 2020.
- O. Politi, I. Mporas, V. Megalooikonomou, "Human motion detection in daily activity tasks using wearable sensors," 2014 22nd European Signal Processing Conference (EUSIPCO), Lisbon, Portugal, pp. 2315-2319, 2014.
- Y. Ma, G. Zhou, S. Wang, "WiFi sensing with channel state information: a survey," ACM Computing. Surveys, Vol. 52, No. 3, pp. 1-36, Jul. 2019. https://doi.org/10.1145/3214306
- S. Yousefi, H. Narui, S. Dayal, S. Ermon, S. Valaee, "A survey on behavior recognition using WiFi channel state information," IEEE Communications Magazine, Vol. 55, No. 10, pp. 98-104, Oct. 2017. https://doi.org/10.1109/MCOM.2017.1700082
- Y. Wang, K. Wu, L. M. Ni, "WiFall: device-free fall detection by wireless networks," IEEE Transactions on Mobile Computing, Vol. 16, No. 2, pp. 581-594, Feb. 2017. https://doi.org/10.1109/TMC.2016.2557792
- J. Yang, H. Zou, H. Jiang, L. Xie, "Device-free occupant activity sensing using WiFi-enabled IoT devices for smart homes," IEEE Internet of Things Journal, Vol. 5, No. 5, pp. 3991-4002, Oct. 2018. https://doi.org/10.1109/jiot.2018.2849655
- J. Y. Seo, Deep Learning Tensorflow Textbook, gilbut, pp. 135-136, 2021.
- A. Khan, A. Sohail, U. Zah hoora, A. S. Qureshi, "A survey of the recent architectures of deep convolutional neural networks," Artificial Intelligence Review, Vol. 53, pp. 5455-5516, 2020. https://doi.org/10.1007/s10462-020-09825-6
- E. H. Kim, D. D. Kim, Y. J. Suh, "Convolutional neural network based gesture recognition using WiFi channel state information," Korea Institute of Communications and Information Sciences, Gangwon, Korea, pp. 989-990, Feb. 2020.
- H. Choi, J. Ko, "Deep learning-based automatic wrinkles segmentation on microscope skin images for skin diagnosis," Journal of Advanced Navigation Technology, Vol. 24, No. 2, pp. 148-154, Apr. 2020. https://doi.org/10.12673/JANT.2020.24.2.148
- G. M. Kim, S. J. Pa, S. J. Hwang, H. Y. Kim, J. H. Baek, "Deep learning based pine nut detection in UAV aerial video," Journal of Advanced Navigation Technology, Vol. 25, No. 1, pp. 115-123, Feb. 2021
- Y. Lecun, L. Bottou, Y. Bengio, P. Haffner, "Gradient-based learning applied to document recognition," Proceedings of the IEEE, Vol. 86, No. 11, pp. 2278-2324, Nov. 1998. https://doi.org/10.1109/5.726791
- D. Halperin, W. Hu, A. Sheth, D. Wetherall, "Tool release: gathering 802.11n traces with channel state information," ACM SIGCOMM Computer Communication Review, Vol. 41, No. 1, pp. 53, Jan. 2011. https://doi.org/10.1145/1925861.1925870
- S. H. Oh, C. H. Bae, S. R. Kim, J. C. Cho, Y. H. Jung, "Design and implementation of CNN-based HMI system using doppler radar and voice sensor," Journal of IKEEE, Vol. 24, No. 3, pp. 777-782, Sep. 2020. https://doi.org/10.7471/IKEEE.2020.24.3.777