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A Survey on Hand Gesture Recognition Using Machine Learning and Infrared Information

  • Rubén NogalesEmail author
  • Marco E. Benalcázar
Conference paper
  • 56 Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 1194)

Abstract

The research consists in the hand gestures are movements that convey information and thus complement oral communication or by themselves constitute a form of communication between people. The function of a hand gesture recognition system is to identify the type of movement, from a given set of movements, and the instant when that movement is performed. Gesture recognition systems have multiple applications including sign language translation, bionics, human-machine interaction, gamming, and virtual reality. For this reason, hand gesture recognition is a problem where many researchers have focused their attention too. In this context, in this paper, we present a systematic literature review for hand gesture recognition using ma-chine learning and infrared information. This work has been made because there is no work in the scientific literature that reviews gesture recognition systems based on machine learning and infrared information. In this work, we answer the research question: what is the architecture of the proposed models for hand gesture recognition based on machine learning and infrared information? For answering this research question, we used Kitchenham methodology. Finally, in this work, we also present trends and gaps with respect to the problem analyzed.

Keywords

Hand gesture recognition Machine learning Infrared information Survey Systematic literature review 

Notes

Acknowledgments

The authors gratefully acknowledge the financial support provided by Escuela Politécnica Nacional for the development of the research project PIJ-16-13, and the Universidad Técnica de Ambato by development research project PFISEI24 “Integración de Machine Learning y Visión por Computadora para la Manipulación de Objetos Aplicados al Youbot Kuka”. Finally, to Doctoral program of the Departamento de Informática y Ciencias de la Computación of the Escuela Politécnica Nacional.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Facultad de Ingeniería en Sistemas Electrónica e IndustrialUniversidad Técnica de AmbatoAmbatoEcuador
  2. 2.Departamento de Informática y Ciencias de la ComputaciónEscuela Politécnica NacionalQuitoEcuador

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