Social Environments Modeling From Kinect Data in Robotics Applications

Catarina Lima, João Silva Sequeira

2017

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.

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