The current availability of the humanoid robots opens up a wide range of applications, for instance, in the domain of hospitality the humanoids can be programmed to behave autonomous ways to provide help to people. The aspect of the humanoids and the humanness of interaction are key components of success. We developed a system to endow the humanoid robot Pepper, from SoftBank Robotics, with the capability of both: identify the emotion state of the humans and exhibiting emotional states via gestures and postures generated using a DCGAN model to learn from the human body language and to create originals body expressions to exhibit like-human movements.
Titel
DCGAN model used to generate body gestures on a human-humanoid interaction system
Datum
2019-12
Veröffentlich in
Applications of Computational Intelligence Second IEEE Colombian Conference, ColCACI 2019, 5-7 June 2019, Barranquilla, Colombia
Band
pp. 103-115
Verlag
Barranquilla, Colombia, 5-7 June 2019
Umfang
13 p.
Vorgestellt auf
ColCACI 2019 ; Applications of Computational Intelligence, Barranquilla, Colombia, 2019-06-05, 2019-06-07
ISBN
978-3-030-36210-2
ISSN
1865-0929
Sammlung und Nummer
Communications in Computer and Information Science, 1096
Papiertyp
full paper
Domaine
Ingénierie et Architecture
Ecole
HEIG-VD
Institut
IICT - Institut des Technologies de l'Information et de la Communication