[1] |
YAO Y , FU Y . Contour model-based hand-gesture recognition using the Kinect sensor[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2014,24(11): 1935-1944.
|
[2] |
LU Z , CHEN X , LI Q ,et al. A hand gesture recognition framework and wearable gesture-based interaction prototype for mobile devices[J]. IEEE Transactions on Human-Machine Systems, 2014,44(2): 293-299.
|
[3] |
MARIN G , DOMINIO F , ZANUTTIGH P . Hand gesture recognition with leap motion and Kinect devices[C]// 2014 IEEE International Conference on Image Processing (ICIP). IEEE, 2014: 1565-1569.
|
[4] |
MOLCHANOV P , GUPTA S , KIM K ,et al. Hand gesture recognition with 3D convolutional neural networks[C]// 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE Computer Society, 2015: 1-7.
|
[5] |
CARAMIAUX B , MONTECCHIO N , TANAKA A ,et al. Adaptive gesture recognition with variation estimation for interactive systems[J]. ACM Transactions on Interactive Intelligent Systems, 2014,4(4): 1-34.
|
[6] |
ZHANG C , TIAN Y . Histogram of 3D facets:a depth descriptor for human action and hand gesture recognition[J]. Computer Vision and Image Understanding, 2015(139): 29-39.
|
[7] |
TSAI J C , CHANG S M , YEN S H ,et al. A real-time hand gesture recognition system for daily information retrieval from the Internet[J]. International Journal of Computational Science and Engineering, 2015,11(2): 105.
|
[8] |
CHENG H , YANG L , LIU Z . Survey on 3D hand gesture recognition[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2016,26(9): 1659-1673.
|
[9] |
SENIN. Dynamic time warping algorithm review[J]. Science, 2007: 1-23.
|
[10] |
PLOUFFE G , CRETU A M . Static and dynamic hand gesture recognition in depth data using dynamic time warping[J]. IEEE Transactions on Instrumentation and Measurement, 2016,65(2): 305-316.
|
[11] |
WANG H , LI Z . Accelerometer-based gesture recognition using dynamic time warping and sparse representation[J]. Multimedia Tools and Applications, 2016,75(14): 8637-8655.
|
[12] |
LI Z , ZHANG F , ZHANG X ,et al. Flight data denoising method based on stationary wavelet transform[J]. Journal of Computer Applications, 2011,31(10): 2790-2810.
|
[13] |
WANG J , LI Z , WANG D . A method for wavelet threshold denoising of seismic data based on CEEMD[J]. Geophysical Prospecting for Petroleum, 2017,53(2): 164-172.
|
[14] |
WU X , ZHANG B , ZHANG Z ,et al. A new threshold model for gesture recognition based on HMM[J]. Pattern Recognition and Artificial Intelligence, 2003,16(1): 122-125.
|