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SmartHelm: Design and Implementation of Open Source based Behavioral Data Repository

Authors:
Harish Moturu
Johannes Schering
Jorge Marx Gómez

Keywords: bio-physical-data, EEG, Eye Tracking, data repository, behavioural data, bicycle data, mobility data, open data

Abstract:
Data is the driving force in the current world of digitalization for efficient decision making. Data availability plays a key role in almost every research field for improving data understanding and knowledge acquisition. There are many ways in which data can be made available to end users. In some cases, the user may be required to pay for using the data: similarly, there are some other data resources available as open source. In the case of sensitive data such as business related, personal and bio-physical data, there are certain challenges in making these kind of data publicly available. This paper addresses exclusively how an open data portal enables users to freely access bio-physical data that is developed as part of the SmartHelm research project. The open data portal SmartHelm Behavioral Data Repository constitutes of two key components: (1) a data management platform that organizes and structures the raw data into a well defined structural form and (2) a RestAPI server that has the functionality of providing the data in the desired format to the end user. The first prototypical version of the data portal constitutes of data obtained from experiments conducted in the project. These data sources are ElectroEncephaloGraphy (EEG), eye tracking and geographical location/ Global Positioning System (GPS) data. The main advantage of this data repository is that it facilitates the users to access all kinds of data without any special limitations such as user account, subscriptions etc. This bio-physical and mobility data will not only help other researchers working in this field, but also it will help municipalities to improve the bicycling infrastructure at the certain junctions in the city where the cargo bike logistic rider experiences more stress.

Pages: 15 to 21

Copyright: Copyright (c) IARIA, 2022

Publication date: June 26, 2022

Published in: conference

ISSN: 2308-3468

ISBN: 978-1-61208-962-1

Location: Porto, Portugal

Dates: from June 26, 2022 to June 30, 2022