Your browser doesn't support javascript.
loading
The Measure of Motion Similarity for Robotics Application.
Zielinska, Teresa; Coba, Gabriel.
Afiliação
  • Zielinska T; Faculty of Power And Aeronautical Engineering, Warsaw University of Technology, 00-665 Warsaw, Poland.
  • Coba G; Independent Researcher, Quito 17203, Ecuador.
Sensors (Basel) ; 23(3)2023 Feb 02.
Article em En | MEDLINE | ID: mdl-36772683
A new measure of motion similarity has been proposed. The formulation of this measure is presented and its logical basis is described. Unlike in most of other methods, the measure enables easy determination of the instantaneous synergies of the motion of body parts. To demonstrate how to use the measure, the data describing human movement is used. The movement is recorded using a professional motion capture system. Two different cases of non-periodic movements are discussed: stepping forward and backward, and returning to a stable posture after an unexpected thrust to the side (hands free or tied). This choice enables the identification of synergies in slow dynamics (stepping) and in fast dynamics (push recovery). The trajectories of motion similarity measures are obtained for point masses of the human body. The interpretation of these trajectories in relation to motion events is discussed. In addition, ordinary motion trajectories and footprints are shown in order to better illustrate the specificity of the discussed examples. The article ends with a discussion and conclusions.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article