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    , , , , and . International Journal of Innovative Research in Information Security, 09 (2): 28-38 (May 2023)1 M. Fernando and J. Wijayanayaka, "Low cost approach for real time sign language recognition," 2013 IEEE 8th International Conference on Industrial and Information Systems, 2013, pp. 637-642, https://doi.org/10.1109/iciinfs.2013.6732059 2 M. Z. Islam, M. S. Hossain, R. ul Islam and K. Andersson, "Static Hand Gesture Recognition using Convolutional Neural Network with Data Augmentation," 2019 Joint 8th International Conference on Informatics, Electronics & Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR), 2019, pp. 324-329, https://doi.org/10.1109/iciev.2019.8858563 3 E. Kaya and T. Kumbasar, "Hand Gesture Recognition Systems with the Wearable Myo Armband," 2018 6th International Conference on Control Engineering & Information Technology (CEIT), 2018, pp. 1-6, https://doi.org/10.1109/ceit.2018.8751927 4 Lesha Bhansali and Meera Narvekar. Gesture Recognition to Make Umpire Decisions. International Journal of Computer Applications 148(14):26-29, August 2016. https://doi.org/10.5120/ijca2016911312 5 Suvarna Nandyal and Suvarna Laxmikant Kattimani 2021 J. Phys.: Conf. Ser. 2070 012148 6 Y. Madhuri, G. Anitha. and M. Anburajan., "Vision- based sign language translation device," 2013 International Conference on Information Communication and Embedded Systems (ICICES), 2013, pp. 565-568, https://doi.org/10.1109/icices.2013.6508395 7 Nusirwan Anwar bin Abdul Rahman, Kit Chong Wei and John See Faculty of Information Technology, Multimedia University. 8 Moin, A., Zhou, A., Rahimi, A. et al. A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition. Nat Electron 4, 54–63 (2021). https://doi.org/10.1038/s41928-020-00510-8 9 Ravi, H. Venugopal, S. Paul and H. R. Tizhoosh, Ä Dataset and Preliminary Results for Umpire Pose Detection Using SVM Classification of Deep Features," 2018 IEEE SymposiumSeries on Computational Intelligence (SSCI), 2018, pp. 1396-1402, https://doi.org/10.1109/ssci.2018.8628877 10 M. A. Shahjalal, Z. Ahmad, R. Rayan and L. Alam, Än approach to automate the scorecard in cricket with computer vision and machine learning," 2017 3rd International Conference on Electrical Information and Communication Technology (EICT), 2017, pp. 1-6, https://doi.org/10.1109/eict.2017.8275204.
    11 months ago by @ijiris
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