Page 461 - Kaleidoscope Academic Conference Proceedings 2024
P. 461

Innovation and Digital Transformation for a Sustainable World




                      Electron.  Syst. iSES 2019, pp.  221–224,       5th Int. Conf. Trends Electron. Informatics,
                      2019, doi: 10.1109/iSES47678.2019.00056.        ICOEI 2021, pp.  1713–1721, 2021, doi:
               [17]   J. Kim and S. Choi, “Hand Gesture               10.1109/ICOEI51242.2021.9453072.
                      Classification Based  on Nonaudible Sound  [27]  W. Zhang, J. Wang, and F. Lan, “Dynamic
                      Using Convolutional Neural Network,”  J.        hand gesture recognition based on short-term
                      Sensors,  vol.  2019,  2019,  doi:              sampling neural  networks,”  IEEE/CAA J.
                      10.1155/2019/1084841.                           Autom. Sin.,  vol. 8,  no. 1, pp. 110–120,
               [18]   H. Li, L. Wu, H. Wang, C. Han, W. Quan,         2021, doi: 10.1109/JAS.2020.1003465.
                      and J. Zhao, “Hand Gesture Recognition    [28]  V. Jain, A. Jain, A. Chauhan,  S. S. Kotla,
                      Enhancement Based on Spatial Fuzzy              and A. Gautam, “American Sign Language
                      Matching in Leap Motion,” IEEE Trans. Ind.      recognition using Support Vector Machine
                      Informatics,  vol.  16, no. 3, pp. 1885–1894,   and Convolutional Neural Network,”  Int. J.
                      2020, doi: 10.1109/TII.2019.2931140.            Inf. Technol., vol. 13, no. 3, pp. 1193–1200,
               [19]   P. S. Neethu, R. Suguna, and  D. Sathish,       2021, doi: 10.1007/s41870-021-00617-x.
                      “An efficient method for  human hand      [29]  S. Bhushan,  M. Alshehri, I. Keshta, A. K.
                      gesture detection and recognition using deep    Chakraverti,  J.  Rajpurohit,  and  A.
                      learning convolutional neural networks,”        Abugabah,  “An  Experimental Analysis of
                      Soft Comput., vol. 24, no. 20, pp.  15239–      Various Machine Learning Algorithms for
                      15248, 2020, doi:  10.1007/s00500-020-          Hand Gesture Recognition,”  Electron., vol.
                      04860-5.                                        11,     no.    6,    2022,    doi:
               [20]   P. Parvathy, K.  Subramaniam, G. K. D.          10.3390/electronics11060968.
                      Prasanna Venkatesan, P. Karthikaikumar, J.  [30]  A. I. Saad, “Opinion Mining on US Airline
                      Varghese, and T. Jayasankar, “Development       Twitter Data Using Machine Learning
                      of  hand  gesture recognition system using      Techniques,”  16th Int. Comput.  Eng. Conf.
                      machine learning,”  J. Ambient Intell.          ICENCO 2020,  pp. 59–63, 2020, doi:
                      Humaniz. Comput., vol. 12, no. 6, pp. 6793–     10.1109/ICENCO49778.2020.9357390.
                      6800,  2021, doi: 10.1007/s12652-020-     [31]  S. Yan, Y. Xia, J. S. Smith, W. Lu, and B.
                      02314-2.                                        Zhang, “Multiscale Convolutional Neural
               [21]   A. B., K. Krishi, M. M., M. Daaniyaal, and      Networks for Hand Detection,”  Appl.
                      A. H. S., “Hand gesture recognition  using      Comput. Intell. Soft Comput., vol. 2017,
                      machine learning algorithms,” Comput. Sci.      2017, doi: 10.1155/2017/9830641.
                      Inf. Technol., vol.  1, no.  3, pp.  116–120,  [32]  S. Tam, M. Boukadoum, A. Campeau-
                      2020, doi: 10.11591/csit.v1i3.p116-120.         Lecours, and B. Gosselin, “A Fully
               [22]   V. Adithya and R. Rajesh, “ScienceDirect A      Embedded  Adaptive  Real-Time  Hand
                      Deep Deep Convolutional Convolutional           Gesture Classifier Leveraging HD-sEMG
                      Neural Neural Network Network Approach          and Deep Learning,”  IEEE Trans. Biomed.
                      Approach for for Static Static  Hand Hand       Circuits Syst., vol.  14, no.  2, pp. 232–
                      Gesture Recognition Gesture Recognition,”       243,           2020,          doi:
                      Procedia  Comput. Sci., vol. 171, no. 2019,     10.1109/TBCAS.2019.2955641.
                      pp.    2353–2361,    2020,    doi:
                      10.1016/j.procs.2020.04.255.
               [23]   A. A. Barbhuiya, R. K. Karsh, and R. Jain,
                      “CNN   based  feature  extraction  and
                      classification for sign language,” Multimed.
                      Tools Appl., vol. 80, no. 2, pp. 3051–3069,
                      2021, doi: 10.1007/s11042-020-09829-y.
               [24]   P. N. Huu and  T. Phung Ngoc, “Hand
                      Gesture Recognition Algorithm Using SVM
                      and HOG Model for Control  of Robotic
                      System,”  J. Robot., vol. 2021, pp. 1–13,
                      2021, doi: 10.1155/2021/3986497.
               [25]   M. U. Rehman et al., “Dynamic Hand
                      Gesture Recognition Using 3D-CNN and
                      LSTM     Networks,”  2022,    doi:
                      10.32604/cmc.2022.019586.
               [26]   X. Y. and J. S. Shruit Chavan, “Hand
                      Gesture Recognition for Sign Language
                      Using Convolutional Neural Network,” Proc.




                                                          – 417 –
   456   457   458   459   460   461   462   463   464   465   466