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Articles

Static hand gesture recognition using multi-dilated DenseNet-based deep learning architecture

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Pages 221-243 | Received 14 Dec 2021, Accepted 08 Feb 2023, Published online: 22 Feb 2023

References

  • Ren Z, Yuan J, Meng J, et al. Robust part-based hand gesture recognition using kinect sensor. IEEE Trans Multimed. 2013;15(5):1110–1120.
  • Tang H, Liu H, Xiao W, et al. Fast and robust dynamic hand gesture recognition via key frames extraction and feature fusion. Neurocomputing. 2019;331:424–433.
  • Parvathy P, Subramaniam K, Prasanna Venkatesan GKD, et al. Development of hand gesture recognition system using machine learning. J Ambient Intell Humaniz Comput. 2021;12(6):6793–6800.
  • Moin A, Zhou A, Rahimi A, et al. A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition. Nat Electron. 2021;4(1):54–63.
  • Ghotkar AS, Kharate GK. Study of vision based hand gesture recognition using Indian sign language. Computer (Long Beach, CA). 2014;55:56.
  • Oudah M, Al-Naji A, Chahl J. Hand gesture recognition based on computer vision: a review of techniques. J Imaging. 2020;6(8):73.
  • Alonso DG, Teyseyre A, Soria A, et al. Hand gesture recognition in real world scenarios using approximate string matching. Multimed Tools Appl. 2020;79(29):20773–20794.
  • Elouariachi I, Benouini R, Zenkouar K, et al. Robust hand gesture recognition system based on a new set of quaternion Tchebichef moment invariants. Pattern Anal Appl. 2020: 1–17.
  • Sahana T, Paul S, Basu S, et al. Hand sign recognition from depth images with multi-scale density features for deaf mute persons. Procedia Comput Sci. 2020;167:2043–2050.
  • Ansar H, Jalal A, Gochoo M, et al. Hand gesture recognition based on auto-landmark localization and reweighted genetic algorithm for healthcare muscle activities. Sustainability. 2021;13(5):2961.
  • Nagarajan S, Subashini TS. Static hand gesture recognition for sign language alphabets using edge oriented histogram and multi class SVM. Int J Comput Appl. 2013;82(4):28–35.
  • Bhuyan MK, Ghoah D, Bora PK. A framework for hand gesture recognition with applications to sign language. 2006 annual IEEE India Conference. 2006. p. 1–6.
  • Tasmere D, Ahmed B, Das SR. Real time hand gesture recognition in depth image using CNN. Int J Comput Appl. 2021;174(16):28–32.
  • Liu C, Szirányi T. Real-Time human detection and gesture recognition for on-board UAV rescue. Sensors. 2021;21(6):2180.
  • Shanthakumar VA, Peng C, Hansberger J, et al. Design and evaluation of a hand gesture recognition approach for real-time interactions. Multimed Tools Appl. 2020;79:17707–17730.
  • Pramada S, Saylee D, Pranita N, et al. Intelligent sign language recognition using image processing. IOSR J Eng. 2013;3(2):45–51.
  • Routray J, Rout S, Panda JJ, et al. Hand gesture recognition using TOF camera. Int J Appl Eng Res. 2021;16(4):302–307.
  • Rekha J, Bhattacharya J, Majumder S. Hand gesture recognition for sign language: a new hybrid approach. Proceedings of the International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV). The Steering Committee of the World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp). 2011.
  • Dhingra N, Valli E, Kunz A. Recognition and localisation of pointing gestures using a RGB-D camera. International Conference on Human-Computer Interaction, Springer, Cham. 2020. p. 205–212.
  • Chansri C, Srinonchat J. Hand gesture recognition for Thai sign language in complex background using fusion of depth and color video. Procedia Comput Sci. 2016;86:257–260.
  • Al-Hammadi M, Muhammad G, Abdul W, et al. Hand gesture recognition for sign language using 3DCNN. IEEE Access. 2020;8:79491–79509.
  • Mujahid A, Awan MJ, Yasin A, et al. Real-time hand gesture recognition based on deep learning YOLOv3 model. Appl Sci. 2021;11(9):4164.
  • Benitez-Garcia G, Prudente-Tixteco L, Castro-Madrid LC, et al. Improving real-time hand gesture recognition with semantic segmentation. Sensors. 2021;21(2):356.
  • Bhagat NK, Vishnusai Y, Rathna GN. Indian sign language gesture recognition using image processing and deep learning. 2019 Digital Image Computing: Techniques and Applications (DICTA). IEEE. 2019. p. 1–8.
  • Wang J, Liu T, Wang X. Human hand gesture recognition with convolutional neural networks for K-12 double-teachers instruction mode classroom. Infrared Phys Technol. 2020;111:103464.
  • Pinto RF, Borges CDB, Almeida A, et al. Static hand gesture recognition based on convolutional neural networks. J Electr Comput Eng. 2019:2019.
  • Islam M, Hossain MS, Islam R, et al. 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), IEEE, 2019. p. 324–329.
  • Adithya V, Rajesh R. A deep convolutional neural network approach for static hand gesture recognition. Procedia Comput Sci. 2020;171:2353–2361.
  • Paul S, Bhattacharyya A, Mollah AF, et al. Hand segmentation from complex background for gesture recognition. In: Mandal JK, editor. Emerging technology in modelling and graphics. Singapore: Springer; 2020. p. 775–782.
  • Candrasari EB, Novamizanti L, Aulia S. Discrete wavelet transform on static hand gesture recognition. J Phys Conf Ser. 2019;1367(1):012022.
  • Wang X, Fang Y, Li C, et al. Static gesture segmentation technique based on improved Sobel operator. JEng. 2019;2019(22):8339–8342.
  • Sharma S, Jain S. A static hand gesture and face recognition system for blind people. 2019 6th International Conference on Signal Processing and Integrated Networks (SPIN), IEEE, 2019.p. 534–539.
  • Abdulhussein AA, Raheem FA. Hand gesture recognition of static letters American Sign Language (ASL) using deep learning. Eng. Technol. J.. 2020;38(6):926–937.
  • Alani AA, Cosma G, Taherkhani A, et al. Hand gesture recognition using an adapted convolutional neural network with data augmentation. 2018 4th International conference on information management (ICIM). IEEE, 2018. p. 5–12.
  • Sahoo JP, Ari S, Patra SK. Hand gesture recognition using PCA based deep CNN reduced features and SVM classifier. 2019 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS), 2019. p. 221–224.
  • Khari M, Garg AK, Crespo RG, et al. Gesture recognition of RGB and RGB-D static images using convolutional neural networks. Int J Interact Multim Artif Intell. 2019;5(7):22–27.
  • Smith JW, Thiagarajan S, Willis R, et al. Improved static hand gesture classification on deep convolutional neural networks using novel sterile training technique. IEEE Access. 2021;9:10893–10902.
  • Reddy DA, Sahoo JP, Ari S. Hand gesture recognition using local histogram feature descriptor. 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI), IEEE, 2018. p. 199–203.
  • Liao B, Li J, Ju Z, et al. Hand gesture recognition with generalized Hough transform and DC-CNN using realsense. 2018 Eighth International Conference on Information Science and Technology (ICIST). IEEE, 2018; 84–90.
  • Chung H-Y, Chung Y-L, Tsai W-F. An efficient hand gesture recognition system based on deep CNN. 2019 IEEE International Conference on Industrial Technology (ICIT), 2019; 853–858.
  • Zhang W, Wang J, Lan F. Dynamic hand gesture recognition based on short-term sampling neural networks. IEEE/CAA J Autom Sin. 2020;8(1):110–120.
  • Saboo S, Singha J, Laskar RH. Dynamic hand gesture recognition using combination of two-level tracker and trajectory-guided features. Multimedia Syst. 2022;28(1):183–194.
  • Hu B, Wang J. Deep learning based hand gesture recognition and UAV flight controls. Int J Autom Comput. 2020;17(1):17–29.
  • Zhang W, Wang J. Dynamic hand gesture recognition based on 3D convolutional neural network models. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNSC). 2019; 224–229.
  • Tsinganos P, Cornelis B, Cornelis J, et al. Hilbert sEMG data scanning for hand gesture recognition based on deep learning. Neural Comput Appl. 2021;33(7):2645–2666.
  • Arun C, Gopikakumari R. Optimisation of both classifier and fusion based feature set for static American Sign Language recognition. IET Image Proc. 2020;14(10):2101–2109.
  • Sharma CM, Tomar K, Mishra RK, et al. Indian sign language recognition using fine-tuned deep transfer learning model. Procc. of International Conference on Innovations in Computer and Information Science (ICICIS), 2021; 62–67.
  • Tasmere D, Ahmed B, Das SR. Real time hand gesture recognition in depth image using cnn. Int J Comput Appl. 2021;975:8887.
  • Tabrizchi H, Mosavi A, Vamossy Z, et al. Densely connected convolutional networks (DenseNet) for diagnosing coronavirus disease (COVID-19) from chest X-ray imaging. 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021. p. 1–5.
  • Mujahid A, Awan MJ, Yasin A, et al. Real-time hand gesture recognition based on deep learning YOLOv3 model. Appl Sci. 2021;11(9):4164.
  • Arun C, Gopikakumari R. Optimisation of both classifier and fusion based feature set for static American Sign Language recognition. IET Image Proc. 2020;14(10):2101–2109.

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