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An Analytical Study on Gesture Recognition Technology

  • Poorvika Singh Negi
  • Praveen KumarEmail author
Conference paper
  • 19 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1090)

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.

Keywords

Accelerometer British sign language (BSL) Human–computer interaction (HCI) Non-hearing-impaired (NHI) Sensors 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Amity University Uttar PradeshNoidaIndia

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