Publication
Body gesture recognition to control a social mobile robot
Conference Article
Conference
ACM/IEEE International Conference on Human-Robot Interaction (HRI)
Edition
2023
Pages
456-460
Doc link
https://doi.org/10.1145/3568294.3580126
File
Abstract
In this work, we propose a gesture-based language to allow humans to interact with robots using their body in a natural way. We have created a new gesture detection model using neural networks and a new dataset of humans making a collection of body gestures to train this architecture. Furthermore, we compare body gesture communication with other communication channels to demonstrate the importance of adding this knowledge to robots. The presented approach is validated in diverse simulations and real-life experiments with non-trained volunteers. This attains promising results and establishes that it is a valuable framework for social robotic applications, such as human robot collaboration or human-robot interaction.
Categories
automation.
Author keywords
Datasets, neural networks, Human-Robot Interaction
Scientific reference
J. Laplaza, R. Romero, A. Sanfeliu and A. Garrell Zulueta. Body gesture recognition to control a social mobile robot, 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023, Stockholm, in Companion of the HRI'23, pp. 456-460.
Follow us!