Hand Gesture Classification Using Multiple Doppler Radar and Machine Learning

Author:

Baik Kyung-Jin,Jang Byung-Jun

Funder

Ministry of Science, ICT and Future Planning

Publisher

Korean Institute of Electromagnetic Engineering and Science

Reference12 articles.

1. 김정인, “손동작 인식을 이용한 마우스제어기법”, 멀티미디어학회논문지, 15(11), pp. 1377-1383, 2012년 11월. 10.9717/kmms.2012.15.11.1377

2. Zhengyou Zhang, “Microsoft kinect sensor and its effect”, IEEE Multimedia, vol. 19, no. 2, pp. 4-10. 2012년 10.1109/MMUL.2012.24

3. Zhihan Lv, et al. “Finger in air: touch-less interaction on smartphone”, Proceedings of the 12th International Conference on Mobile and Ubiquitous Multimedia, ACM, 2013.

4. Jaime Lien, et al. “Soli: ubiquitous gesture sensing with millimeter wave radar”, ACM Transactions on Graphics (TOG), vol. 35, no. 4, pp. 142, 2016. 10.1145/2897824.2925953

5. Fadel Adib et. al., “3D tracking via body radio reflections”, 11th USENIX Symposium on Networked Systems Design and Implementation(NSDI 14), 2014.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Sensor Application Using UWB Communication: In-Vehicle Seat Occupancy Detection;The Journal of Korean Institute of Electromagnetic Engineering and Science;2023-04

2. Distance Sensing of Moving Target with Frequency Control of 2.4 GHz Doppler Radar;The Journal of Korean Institute of Electromagnetic Engineering and Science;2019-02

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