Towards Multi-UAV and Human Interaction Driving System Exploiting Human Mental State Estimation

Gaganpreet Singh, Raphaëlle N. Roy, Caroline P. Carvalho Chanel

2019

Abstract

This paper addresses the growing human-multi-UAV interaction issue. Current active approaches towards a reliable multi-UAV system are reviewed. This brings us to the conclusion that the multiple Unmanned Aerial Vehicles (UAVs) control paradigm is segmented into two main scopes: i) autonomous control and coordination within the group of UAVs, and ii) a human centered approach with helping agents and overt behavior monitoring. Therefore, to move further with the future of human-multi-UAV interaction problem, a new perspective is put forth. In the following sections, a brief understanding of the system is provided, followed by the current state of multi-UAV research and how taking the human pilot’s physiology into account could improve the interaction. This idea is developed first by detailing what physiological computing is, including mental states of interest and their associated physiological markers. Second, the article concludes with the proposed approach for Human-multi-UAV interaction control and future plans.

Paper Citation

in Harvard Style

Singh G., Roy R. and Chanel C. (2019). Towards Multi-UAV and Human Interaction Driving System Exploiting Human Mental State Estimation. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 3: BIOINFORMATICS; ISBN 978-989-758-353-7, SciTePress, pages 294-301. DOI: 10.5220/0007575002940301

in Bibtex Style

@conference{bioinformatics19,
author={Gaganpreet Singh and Raphaëlle N. Roy and Caroline P. Carvalho Chanel},
title={Towards Multi-UAV and Human Interaction Driving System Exploiting Human Mental State Estimation},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 3: BIOINFORMATICS},
year={2019},
pages={294-301},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007575002940301},
isbn={978-989-758-353-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 3: BIOINFORMATICS
TI - Towards Multi-UAV and Human Interaction Driving System Exploiting Human Mental State Estimation
SN - 978-989-758-353-7
AU - Singh G.
AU - Roy R.
AU - Chanel C.
PY - 2019
SP - 294
EP - 301
DO - 10.5220/0007575002940301
PB - SciTePress