Optical Technique, Volume. 46, Issue 6, 750(2020)

Study on dynamic gesture recognition based on attention mechanism convolutional neural network

SHI Lihong*
Author Affiliations
  • [in Chinese]
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    References(16)

    [3] [3] Sutopo J. Gesture recognition of dance using chain code and hidden markov model[J]. International Journal of Advanced Trends in Computer Ence and Engineering,2019,8(6):3194—3199.

    [4] [4] Chandrasekhar S, Mhala N N . Improving the robustness of hand gesture recognition with one-shot-learning features of static HOG and SVM by using kinect V2 method[C]∥ 2019 International Conference on Intelligent Sustainable Systems(ICISS). Akshaya, India: IEEE,2019:311—317.

    [5] [5] Lahiani H, Neji M. Hand gesture recognition method based on HOG-LBP features for mobile devices[J]. Procedia Computer Ence,2018,126(1):254—263.

    [6] [6] Feng L, Chunmei Z, Changwei L, et al. Image recognition of individual cow based on SIFT in Lαβ color space[J]. Matec Web of Conferences,2018,176(1):18—26.

    [7] [7] Kieffer B, Babaie M, Kalra S, et al. Convolutional neural networks for histopathology image classification: training vs. using pre-trained networks[C]∥ 2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA). Montreal, Canada: IEEE,2018:67—77.

    [11] [11] Lingyun G, Lin Z, Zhaokui W. Hierarchical attention-based astronaut gesture recognition: a dataset and CNN model[J]. IEEE Access,2020,1(99):1—10.

    [12] [12] Kwon M C, Park G, Choi S. Smartwatch user interface implementation using CNN-Based gesture pattern recognition[J]. Sensors,2018,18(9):2997—3002.

    [13] [13] Ding L, Fang W, Luo H, et al. A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory[J]. Automation in Construction,2018,86(1):124—131.

    [14] [14] Zhang T, Huo C, Zhou Z, et al. Faster-ADNet for Visual Tracking[J]. IEICE Transactions on Information and Systems,2019,1(3):684—687.

    [15] [15] Ma C, Zhang Y, Wang A, et al. Traffic command gesture recognition for virtual urban scenes based on a spatiotemporal convolution neural network[J]. ISPRS International Journal of Geo-Information,2018,7(1):210—219.

    [16] [16] Tushar A K, Ashiquzzaman A, Islam M R. Faster convergence and reduction of overfitting in numerical hand sign recognition using DCNN[C]∥ 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC). Dhaka, Bangladesh: IEEE,2018:31—41.

    [17] [17] Chang J, Xiao J, Chai J, et al. An improved faster r-cnn algorithm for gesture recognition in human-robot interaction[C]∥ 2019 Chinese Automation Congress (CAC). Hangzhou,China:IEEE,2019:124—129.

    [18] [18] Li L, Qin S, Lu Z, et al. One-shot learning gesture recognition based on joint training of 3D ResNet and memory module[J]. Multimedia Tools and Applications,2019,2(23):1—31.

    [22] [22] Sato T N, Krupa G P, Zoccal L B. Performance measurements of sobel edge detection implemented in an FPGA architecture and software[C]∥ Brazilian Technology Symposium. Berlin, German: Springer,2018:231—239.

    [23] [23] Steiner B, Devito Z, Chintala S, et al. PyTorch: An imperative style, high-performance deep learning library[J]. Neural Information Processing Systems,2019,3(7):8026—8037.

    [24] [24] Huang H, Xu H, Wang X, et al. Maximum f1-score discriminative training criterion for automatic mispronunciation detection[J]. IEEE/ACM Transactions on Audio,Speech,and Language Processing,2015,23(4):787—797.

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    SHI Lihong. Study on dynamic gesture recognition based on attention mechanism convolutional neural network[J]. Optical Technique, 2020, 46(6): 750

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    Paper Information

    Category:

    Received: Jul. 7, 2020

    Accepted: --

    Published Online: Apr. 7, 2021

    The Author Email: Lihong SHI (shi_li_hong@yeah.net)

    DOI:

    CSTR:32186.14.

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