2026-04-14T06:24:04Zhttps://recercat.cat/oai/requestoai:recercat.cat:2117/3906442026-01-20T12:25:34Zcom_2072_1033col_2072_452951
RECERCAT
author
Grifols Vilella, Lluis
2023-05-16
Hand gesture recognition has been extensively used for human-robot interaction in recent years, as they provide a simple and intuitive approach to communication with social and assistive robots. For many real-world applications, it is desirable to have robots able to learn new concepts through interaction, however, this is not a trivial problem: artificial neural networks --commonly used for hand gesture recognition-- suffer from catastrophic forgetting, which hinders their capability of learning new gestures. To cope with this problem, we develop a system for incremental learning of hand gestures applied to human-robot interaction. This system is deployed and tested in a real robot demonstrating the ability to learn and identify correctly most of the new hand gestures examples shown.
Restricted access - author's decision
Àrees temàtiques de la UPC::Informàtica::Robòtica
Human-robot interaction
Computer vision
Human-Robot Interaction
ROS
In
Computer Vision
Hand Gesture Recognition
Interacció Humà-Robot
ROS
Intel·ligència artificial
Visió artificial
Reconeixement de Gestos
Interacció persona-robot
Visió per ordinador
Learning new human gestures through Human Robot Interaction
Master thesis