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Analysis of Choreographed Human Movements Using Depth Cameras: A Systematic Review

  • Danilo RibeiroEmail author
  • João Bernardes
  • Norton Roman
  • Marcelo Antunes
  • Enrique Ortega
  • Antonio Sousa
  • Luciano Digiampietri
  • Luis Cura
  • Valdinei Silva
  • Clodoaldo Lima
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9732)

Abstract

The use of computer vision to analyze human movement has been growing considerably, facilitated by the increased availability of depth cameras This paper describes the results of a systematic review about the techniques used for movement tracking and recognition, focusing on metrics to compare choreographed movements using Microsoft Kinect as a sensor. Several techniques for data analysis and pattern recognition are explored for this task, particularly Dynamic Time Warping and Hidden Markov Models. Most papers we discuss used a single sensor instead of more complex setups and most took advantage of the Kinect SDK instead of alternatives. Rhythm is rarely considered in these systems due to the temporal alignment strategies used. While most systems that use the sensors for some form of interaction instead claim that this interaction is natural, very few actually perform any sort of usability or user experience analysis.

Keywords

Hide Markov Model Human Movement Dynamic Time Warping Depth Camera Dance Movement 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Danilo Ribeiro
    • 1
    Email author
  • João Bernardes
    • 1
  • Norton Roman
    • 1
  • Marcelo Antunes
    • 2
  • Enrique Ortega
    • 2
  • Antonio Sousa
    • 3
  • Luciano Digiampietri
    • 1
  • Luis Cura
    • 4
  • Valdinei Silva
    • 1
  • Clodoaldo Lima
    • 1
  1. 1.University of São PauloSão PauloBrazil
  2. 2.Central Kung Fu AcademyCampinasBrazil
  3. 3.São Paulo Faculty of TechnologySão PauloBrazil
  4. 4.Campo Limpo Paulista FacultyCampo Limpo PaulistaBrazil

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