1 |
H. S. Hasan, S. A. Kareem, "Human computer interaction for vision based hand gesture recognition: A survey," in 2012 International Conference on Advanced Computer Science Applications and Technologies(ACSAT), Kuala Lumpur, 2012, pp. 55-60. |
미소장 |
2 |
Z. Ren, J. Meng, and J. Yuan, "Depth camera based hand gesture recognition and its applications in humancomputer-interaction," in 2011 8th International Conference on Information, Communications & Signal Processing, Singapore, Dec. 2011, pp. 1-5. |
미소장 |
3 |
Gesture Sensing Using Retransmitted Wireless Communication Signals Based on Doppler Radar Technology  |
미소장 |
4 |
Hand Gesture Recognition Using Micro-Doppler Signatures With Convolutional Neural Network  |
미소장 |
5 |
P. Molchanov, S. Gupta, K. Kim, and K. Pulli, "Shortrange FMCW monopulse radar for hand-gesture sensing,"in 2015 IEEE Radar Conference(RadarCon), Arlington, VA, May, 2015, pp. 1491-1496. |
미소장 |
6 |
S. Wang, J. Song, J. Lien, I. Poupyrev, and O. Hilliges, "Interacting with soli: Exploring fine-grained dynamic gesture recognition in the radio-frequency spectrum," in Proceedings of the 29th Annual Symposium on User Interface Software and Technology, Tokyo, Oct. 2016, pp. 851-860. |
미소장 |
7 |
M. Ritchie, A. Jones, J. Brown, and H. D. Griffiths, "Hand gesture classification using 24 GHz FMCW dual polarised radar," in International Conference on Radar Systems(Radar 2017), Belfast, 2017, pp. 1-6. |
미소장 |
8 |
A. G. Stove, "Linear FMCW radar techniques," in IEE Proceedings F(Radar and Signal Processing), Oct. 1992, vol. 139, no. 5, pp. 343-350. |
미소장 |
9 |
M. I. Skolnik, Introduction to Radar Systems, London, McGraw-Hill, 2002. |
미소장 |
10 |
Design of an FMCW radar baseband signal processing system for automotive application  |
미소장 |
11 |
Noncoherent Approach for Through-the-Wall Moving Target Indication  |
미소장 |
12 |
M. I. Skolnik, Radar Handbook, 2nd ed. New York, NY, McGraw-Hill. |
미소장 |
13 |
On the Application of Digital Moving Target Indication Techniques to Short-Range FMCW Radar Data  |
미소장 |
14 |
A. Dzvonkovskaya, H. Rohling, "Software-improved range resolution for oceanographic HF FMCW radar,"in 2013 14th International Radar Symposium(IRS), Dresden, 2013, pp. 411-416. |
미소장 |
15 |
Image quality assessment: from error visibility to structural similarity.  |
미소장 |
16 |
A. Macaveiu, C. Nafornita, A. Isar, A. Campeanu, and I. Nafornita, "A method for building the range-Doppler map for multiple automotive radar targets," in 2014 11th International Symposium on Electronics and Telecommunications(ISETC), Timisoara, 2014, pp. 1-6. |
미소장 |
17 |
M. Rastegari, V. Ordonez, J. Redmon, and A. Farhadi, "XNOR-Net: ImageNet classification using binary convolutional neural networks," in European Conference on Computer Vision, Oct. 2016, pp. 525-542. |
미소장 |
18 |
R. Krishnamoorthi, "Quantizing deep convolutional networks for efficient inference: A whitepaper," 2018. Available:https://arxiv.org/abs/1806.08342 |
미소장 |
19 |
Latern: Dynamic Continuous Hand Gesture Recognition Using FMCW Radar Sensor  |
미소장 |
20 |
P. Molchanov, S. Gupta, K. Kim, and K. Pulli, "Multisensor system for driver's hand-gesture recognition," in 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition(FG), Ljubljana, 2015, pp. 1-8. |
미소장 |
21 |
Hand-Gesture Recognition Using Two-Antenna Doppler Radar With Deep Convolutional Neural Networks  |
미소장 |