Gyroscope explorer terrain angles classification

Yalung, Christofer, Al-Majeed, Salah ORCID: 0000-0002-5932-9658, Adolfo, Cid Mathew, Karam, Jalal and Mirtskhulava, Lela (2017) Gyroscope explorer terrain angles classification. In: 2016 IEEE East-West Design & Test Symposium (EWDTS), 14-17 October, Yerevan, Armenia. ISSN 2472-761X ISBN 978-1-5090-0693-9

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Abstract

Mobile Applications (Apps) offer numerous advantages related to entertainment, communication, monitoring and sensing to name a few. In this study, a Gyroscope Explorer Apps is employed for data gathering of azimuth, pitch, and roll. The mobile phone is carried by Lego Mindstorms (EV3), in which it travels the ladder into the different angles: 4.13°, 7.77°, 10.81°, and 12.80°. The data collected was classified into eight classes: 4.13°uphill, 4.13°downhill, 7.77° uphill, 7.77° downhill, 10.81° uphill, 10.81°downhill, 12.80° uphill, 12.80° downhill. Artificial Neural Network is used to classify the angels and the orientation of the vehicle-uphill or downhill. A total of 718 data collected and divided into three sets (azimuth, pitch and roll). The number of neurons in the hidden layer is set to 10, yielding a 100% accuracy classification.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Wheelchairs; Gyroscopes; Mobile handsets; Training; Azimuth; Mobile communication; Heart rate
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Divisions:	Schools and Research Institutes > School of Business, Computing and Social Sciences
Research Priority Areas:	Applied Business & Technology
Depositing User:	Susan Turner
Date Deposited:	20 Apr 2018 15:52
Last Modified:	31 Aug 2023 08:01
URI:	https://eprints.glos.ac.uk/id/eprint/5579

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