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Computer Science > Robotics

arXiv:2206.07538 (cs)
[Submitted on 15 Jun 2022]

Title:Body Gesture Recognition to Control a Social Robot

Authors:Javier Laplaza, Joan Jaume Oliver, Ramón Romero, Alberto Sanfeliu, Anaís Garrell
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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 custom dataset of humans performing a set of body gestures to train our network. Furthermore, we compare body gesture communication with other communication channels to acknowledge the importance of adding this knowledge to robots. The presented approach is extensively validated in diverse simulations and real-life experiments with non-trained volunteers. This attains remarkable results and shows that it is a valuable framework for social robotics applications, such as human robot collaboration or human-robot interaction.
Subjects: Robotics (cs.RO); Computer Vision and Pattern Recognition (cs.CV); Human-Computer Interaction (cs.HC); Machine Learning (cs.LG)
Cite as: arXiv:2206.07538 [cs.RO]
  (or arXiv:2206.07538v1 [cs.RO] for this version)
  https://doi.org/10.48550/arXiv.2206.07538

Submission history

From: Javier Laplaza [view email]
[v1] Wed, 15 Jun 2022 13:49:22 UTC (5,856 KB)
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