Journal article Open Access

DocuScooter: An innovative underwater scooter add-on for scuba diving Citizen Science

Panebianco, Luca; Scaradozzi, David; Ciuccoli, Nicolò; Zingaretti, Silvia; Costa, Daniele; Altepe, Corentin; Egi, Murat S; Palma, Marco; Pantaleo, Ubaldo; Ferraris, Davide; Micheli, Fiorenza

In order to obtain robust and measurable data from the marine environment, citizen science projects need user-friendly tools that, during dives, autonomously gather information in an easy, low-cost and integrated way. Data collected from different devices and by different untrained divers must have good estimation of the position where the information has been acquired. With this goal, in the context of the Green Bubbles project, a novel platform, called DocuScooter has been designed and developed. DocuScooter implements all the algorithms to filter and merge data with correct timestamp and position preparing the complete mission report. After the mission, the diver can upload the report on an appropriate web service to produce a 3D documentation. In order to obtain the underwater position during the dive, a tailored device compatible with the platform is also presented. Result of the prototype of the platform and the first results of the position estimation algorithm are presented and discussed.

This paper has received funding from the European Union (EU)'s H2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 643712 to the project Green Bubbles RISE for sustainable diving (Green Bubbles). This paper reflects only the authors' view. The Research Executive Agency is not responsible for any use that may be made of the information it contains. © 2017 Panebianco et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and build upon your work non-commercially.
Files (975.0 kB)
Name Size
IRATJ-02-00010_Panebianco et al 2017.pdf
975.0 kB Download
Views 45
Downloads 28
Data volume 27.3 MB
Unique views 43
Unique downloads 26


Cite as