Estimación de grupos conversacionales empleando cámaras 3D y aprendizaje automático para su aplicación a robótica social

  1. Delgado Chaves, Diego 1
  2. Praena Rodríguez, Jose Ángel 1
  3. Caballero, Fernando 2
  4. Gómez, Randy 3
  5. Merino, Luis 1
  1. 1 Universidad Pablo de Olavide
    info

    Universidad Pablo de Olavide

    Sevilla, España

    ROR https://ror.org/02z749649

  2. 2 Universidad de Sevilla
    info

    Universidad de Sevilla

    Sevilla, España

    ROR https://ror.org/03yxnpp24

  3. 3 Honda Research Institute Europe
    info

    Honda Research Institute Europe

    Offenbach, Alemania

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Book:
XLIV Jornadas de Automática: libro de actas: Universidad de Zaragoza, Escuela de Ingeniería y Arquitectura, 6, 7 y 8 de septiembre de 2023, Zaragoza
  1. Ramón Costa Castelló (coord.)
  2. Manuel Gil Ortega (coord.)
  3. Óscar Reinoso García (coord.)
  4. Luis Enrique Montano Gella (coord.)
  5. Carlos Vilas Fernández (coord.)
  6. Elisabet Estévez Estévez (coord.)
  7. Eduardo Rocón de Lima (coord.)
  8. David Muñoz de la Peña Sequedo (coord.)
  9. José Manuel Andújar Márquez (coord.)
  10. Luis Payá Castelló (coord.)
  11. Alejandro Mosteo Chagoyen (coord.)
  12. Raúl Marín Prades (coord.)
  13. Vanesa Loureiro-Vázquez (coord.)
  14. Pedro Jesús Cabrera Santana (coord.)

Publisher: Servizo de Publicacións ; Universidade da Coruña

ISBN: 9788497498609

Year of publication: 2023

Pages: 575-580

Congress: Jornadas de Automática (44. 2023. Zaragoza)

Type: Conference paper

DIALNET GOOGLE SCHOLAR lock_openRUC editor

Abstract

This study is situated within the domain of social robotics, specifically investigating the detection of F-Formations, spatial structures that emerge during human group interaction. The article presents perception system to detect conversational groups. The system can be used to improve the abilities of robots to interpret social contexts. The article presents a study of the capacity of various machine learning algorithms for the estimation of F-Formations from the 3D skeletons of the participants as obtained by a 3D Azure Kinect camera. As a result, a ROS module capable of recognizing groups of people has been developed.

Data source: Dialnet