Abstract
Over the years, mankind has adapted and evolved, opening up new horizons in terms technology. The intellect and inventiveness of human beings have led to the development of many tools, gesture recognition technology being one of them, to help extend the capabilities of our sense, combining natural gestures to operate technology and making the optimum use of our body gestures, decreasing human effort and going beyond human abilities. Devices these days usually have one type of sensor installed in them; however, this paper will be covering the effect of multiple sensors on recognition accuracy. Furthermore, this paper proposes a new tool for communication made by combining the British sign language with gesture-based technology, which can quickly translate sign language into text, with one mobile phone. Principles of generating EOG, methods of sampling EOG signals, basic eye modes, blinking and fixation modes.
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Negi, P.S., Kumar, P. (2020). An Analytical Study on Gesture Recognition Technology. In: Raju, K., Govardhan, A., Rani, B., Sridevi, R., Murty, M. (eds) Proceedings of the Third International Conference on Computational Intelligence and Informatics . Advances in Intelligent Systems and Computing, vol 1090. Springer, Singapore. https://doi.org/10.1007/978-981-15-1480-7_80
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DOI: https://doi.org/10.1007/978-981-15-1480-7_80
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