Development of Human-Robot Communication Technologies for Future Interaction ExperimentsCitation formats

Standard

Development of Human-Robot Communication Technologies for Future Interaction Experiments. / Almada Campos, Ana Christina; Adorno, Bruno Vilhena.

2020 Latin American Robotics Symposium, 2020 Brazilian Symposium on Robotics and 2020 Workshop on Robotics in Education, LARS-SBR-WRE 2020. ed. / Luiz Marcos Garcia Goncalves; Paulo Lilles Jorge Drews Junior; Bruno Marques Ferreira da Silva; Carla da Costa Fernandes Curvelo; Joao Alberto Fabro; Davi Henrique dos Santos; Julio Cesar Paulino de Melo. IEEE, 2020. 9306965 (2020 Latin American Robotics Symposium, 2020 Brazilian Symposium on Robotics and 2020 Workshop on Robotics in Education, LARS-SBR-WRE 2020).

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Harvard

Almada Campos, AC & Adorno, BV 2020, Development of Human-Robot Communication Technologies for Future Interaction Experiments. in LMG Goncalves, PLJ Drews Junior, BMF da Silva, CDC Fernandes Curvelo, JA Fabro, DH dos Santos & JCP de Melo (eds), 2020 Latin American Robotics Symposium, 2020 Brazilian Symposium on Robotics and 2020 Workshop on Robotics in Education, LARS-SBR-WRE 2020., 9306965, 2020 Latin American Robotics Symposium, 2020 Brazilian Symposium on Robotics and 2020 Workshop on Robotics in Education, LARS-SBR-WRE 2020, IEEE, 17th Latin American Robotics Symposium, 12th Brazilian Symposium on Robotics and 11th Workshop on Robotics in Education, LARS-SBR-WRE 2020, Virtual, Natal, Brazil, 9/11/20. https://doi.org/10.1109/LARS/SBR/WRE51543.2020.9306965

APA

Almada Campos, A. C., & Adorno, B. V. (2020). Development of Human-Robot Communication Technologies for Future Interaction Experiments. In L. M. G. Goncalves, P. L. J. Drews Junior, B. M. F. da Silva, C. D. C. Fernandes Curvelo, J. A. Fabro, D. H. dos Santos, & J. C. P. de Melo (Eds.), 2020 Latin American Robotics Symposium, 2020 Brazilian Symposium on Robotics and 2020 Workshop on Robotics in Education, LARS-SBR-WRE 2020 [9306965] (2020 Latin American Robotics Symposium, 2020 Brazilian Symposium on Robotics and 2020 Workshop on Robotics in Education, LARS-SBR-WRE 2020). IEEE. https://doi.org/10.1109/LARS/SBR/WRE51543.2020.9306965

Vancouver

Almada Campos AC, Adorno BV. Development of Human-Robot Communication Technologies for Future Interaction Experiments. In Goncalves LMG, Drews Junior PLJ, da Silva BMF, Fernandes Curvelo CDC, Fabro JA, dos Santos DH, de Melo JCP, editors, 2020 Latin American Robotics Symposium, 2020 Brazilian Symposium on Robotics and 2020 Workshop on Robotics in Education, LARS-SBR-WRE 2020. IEEE. 2020. 9306965. (2020 Latin American Robotics Symposium, 2020 Brazilian Symposium on Robotics and 2020 Workshop on Robotics in Education, LARS-SBR-WRE 2020). https://doi.org/10.1109/LARS/SBR/WRE51543.2020.9306965

Author

Almada Campos, Ana Christina ; Adorno, Bruno Vilhena. / Development of Human-Robot Communication Technologies for Future Interaction Experiments. 2020 Latin American Robotics Symposium, 2020 Brazilian Symposium on Robotics and 2020 Workshop on Robotics in Education, LARS-SBR-WRE 2020. editor / Luiz Marcos Garcia Goncalves ; Paulo Lilles Jorge Drews Junior ; Bruno Marques Ferreira da Silva ; Carla da Costa Fernandes Curvelo ; Joao Alberto Fabro ; Davi Henrique dos Santos ; Julio Cesar Paulino de Melo. IEEE, 2020. (2020 Latin American Robotics Symposium, 2020 Brazilian Symposium on Robotics and 2020 Workshop on Robotics in Education, LARS-SBR-WRE 2020).

Bibtex

@inproceedings{148d03ac96bf4fe79d0de93312a40efc,
title = "Development of Human-Robot Communication Technologies for Future Interaction Experiments",
abstract = "This paper describes our development of human-robot communication technologies, which will be used in future experiments to investigate the effects of different types of communication in human-robot interactions. Using the human kinematic chain and facial points, obtained with methods from the literature, we propose geometric analyses for recognition and interpretation of human pointing gestures and gaze direction. We developed a virtual agent with voice, facial expressions, and gaze direction to interact with humans. The pointing gestures system presented mean success rate of 77.8% (s.d. 16.4%) in experiments and the implementation of the facial points detection algorithm resulted in mean errors of 0.52 cm (s.d. 0.29 cm) in the horizontal iris centers distance and 0.67 cm (s.d. 0.31 cm) in the vertical distance between eyes and mouth, both important attributes to estimate human gaze direction. Those results are satisfactory for the intended application. ",
author = "{Almada Campos}, {Ana Christina} and Adorno, {Bruno Vilhena}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 17th Latin American Robotics Symposium, 12th Brazilian Symposium on Robotics and 11th Workshop on Robotics in Education, LARS-SBR-WRE 2020 ; Conference date: 09-11-2020 Through 12-11-2020",
year = "2020",
month = nov,
day = "9",
doi = "10.1109/LARS/SBR/WRE51543.2020.9306965",
language = "English",
series = "2020 Latin American Robotics Symposium, 2020 Brazilian Symposium on Robotics and 2020 Workshop on Robotics in Education, LARS-SBR-WRE 2020",
publisher = "IEEE",
editor = "Goncalves, {Luiz Marcos Garcia} and {Drews Junior}, {Paulo Lilles Jorge} and {da Silva}, {Bruno Marques Ferreira} and {Fernandes Curvelo}, {Carla da Costa} and Fabro, {Joao Alberto} and {dos Santos}, {Davi Henrique} and {de Melo}, {Julio Cesar Paulino}",
booktitle = "2020 Latin American Robotics Symposium, 2020 Brazilian Symposium on Robotics and 2020 Workshop on Robotics in Education, LARS-SBR-WRE 2020",
address = "United States",

}

RIS

TY - GEN

T1 - Development of Human-Robot Communication Technologies for Future Interaction Experiments

AU - Almada Campos, Ana Christina

AU - Adorno, Bruno Vilhena

N1 - Publisher Copyright: © 2020 IEEE. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2020/11/9

Y1 - 2020/11/9

N2 - This paper describes our development of human-robot communication technologies, which will be used in future experiments to investigate the effects of different types of communication in human-robot interactions. Using the human kinematic chain and facial points, obtained with methods from the literature, we propose geometric analyses for recognition and interpretation of human pointing gestures and gaze direction. We developed a virtual agent with voice, facial expressions, and gaze direction to interact with humans. The pointing gestures system presented mean success rate of 77.8% (s.d. 16.4%) in experiments and the implementation of the facial points detection algorithm resulted in mean errors of 0.52 cm (s.d. 0.29 cm) in the horizontal iris centers distance and 0.67 cm (s.d. 0.31 cm) in the vertical distance between eyes and mouth, both important attributes to estimate human gaze direction. Those results are satisfactory for the intended application.

AB - This paper describes our development of human-robot communication technologies, which will be used in future experiments to investigate the effects of different types of communication in human-robot interactions. Using the human kinematic chain and facial points, obtained with methods from the literature, we propose geometric analyses for recognition and interpretation of human pointing gestures and gaze direction. We developed a virtual agent with voice, facial expressions, and gaze direction to interact with humans. The pointing gestures system presented mean success rate of 77.8% (s.d. 16.4%) in experiments and the implementation of the facial points detection algorithm resulted in mean errors of 0.52 cm (s.d. 0.29 cm) in the horizontal iris centers distance and 0.67 cm (s.d. 0.31 cm) in the vertical distance between eyes and mouth, both important attributes to estimate human gaze direction. Those results are satisfactory for the intended application.

UR - http://www.scopus.com/inward/record.url?scp=85100294194&partnerID=8YFLogxK

U2 - 10.1109/LARS/SBR/WRE51543.2020.9306965

DO - 10.1109/LARS/SBR/WRE51543.2020.9306965

M3 - Conference contribution

AN - SCOPUS:85100294194

T3 - 2020 Latin American Robotics Symposium, 2020 Brazilian Symposium on Robotics and 2020 Workshop on Robotics in Education, LARS-SBR-WRE 2020

BT - 2020 Latin American Robotics Symposium, 2020 Brazilian Symposium on Robotics and 2020 Workshop on Robotics in Education, LARS-SBR-WRE 2020

A2 - Goncalves, Luiz Marcos Garcia

A2 - Drews Junior, Paulo Lilles Jorge

A2 - da Silva, Bruno Marques Ferreira

A2 - Fernandes Curvelo, Carla da Costa

A2 - Fabro, Joao Alberto

A2 - dos Santos, Davi Henrique

A2 - de Melo, Julio Cesar Paulino

PB - IEEE

T2 - 17th Latin American Robotics Symposium, 12th Brazilian Symposium on Robotics and 11th Workshop on Robotics in Education, LARS-SBR-WRE 2020

Y2 - 9 November 2020 through 12 November 2020

ER -