Social Environments Modeling From Kinect Data in Robotics Applications

Catarina Lima, João Silva Sequeira

Abstract

This paper addresses the modeling of social environments from range information obtained from a Kinect sensor. The modeling is restricted to events representing the existence of movement in front of the sensor. A deterministic model based on a power law and statistical models based in Weibull and Lognormal probability distribution are considered. Real experiments in a hospital ward are presented together with a discussion on the relevance of these models to improve the acceptance of social robots in non lab social environments.

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Paper Citation


in Harvard Style

Lima C. and Silva Sequeira J. (2017). Social Environments Modeling From Kinect Data in Robotics Applications.In Proceedings of the International Conference on Computer-Human Interaction Research and Applications - Volume 1: CHIRA, ISBN 978-989-758-267-7, pages 190-197. DOI: 10.5220/0006525901900197


in Bibtex Style

@conference{chira17,
author={Catarina Lima and João Silva Sequeira},
title={Social Environments Modeling From Kinect Data in Robotics Applications},
booktitle={Proceedings of the International Conference on Computer-Human Interaction Research and Applications - Volume 1: CHIRA,},
year={2017},
pages={190-197},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006525901900197},
isbn={978-989-758-267-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Computer-Human Interaction Research and Applications - Volume 1: CHIRA,
TI - Social Environments Modeling From Kinect Data in Robotics Applications
SN - 978-989-758-267-7
AU - Lima C.
AU - Silva Sequeira J.
PY - 2017
SP - 190
EP - 197
DO - 10.5220/0006525901900197