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A Survey of Datasets for Human Gesture Recognition

  • Simon Ruffieux
  • Denis Lalanne
  • Elena Mugellini
  • Omar Abou Khaled
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8511)

Abstract

This paper presents a survey on datasets created for the field of gesture recognition. The main characteristics of the datasets are presented on two tables to provide researchers a clear and rapid access to the information. This paper also provides a comprehensive description of the datasets and discusses their general strengths and limitations. Guidelines for creation and selection of datasets for gesture recognition are proposed. This survey should be a key-access point for researchers looking to create or use datasets in the field of human gesture recognition.

Keywords

human-computer interaction gesture recognition datasets survey 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Simon Ruffieux
    • 1
  • Denis Lalanne
    • 2
  • Elena Mugellini
    • 1
  • Omar Abou Khaled
    • 1
  1. 1.University of Applied Sciences and Arts of Western SwitzerlandFribourgSwitzerland
  2. 2.University of FribourgSwitzerland

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