Dataset
FPV Drone Control QoE - Quality scores of a subjective study
Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:054069
Šilić, Matko; Sužnjević, Mirko; Skorin-Kapov, Lea

 Dataset
Dataset: data.xlsx, 36.52 KB
Access Condition: Open access

Documentation: readme.txt, 1.25 KB
Access Condition: Open access

Institutional repository: FER Repository

Cite this document

Šilić, M., Sužnjević, M. & Skorin Kapov, L. (2022). FPV Drone Control QoE - Quality scores of a subjective study [Data set]. https://urn.nsk.hr/urn:nbn:hr:168:054069.

Šilić, Matko, et al. FPV Drone Control QoE - Quality scores of a subjective study. Fakultet elektrotehnike i računarstva, 2022. 26 Nov 2024. https://urn.nsk.hr/urn:nbn:hr:168:054069.

Šilić, Matko, Mirko Sužnjević, and Lea Skorin Kapov. 2022. FPV Drone Control QoE - Quality scores of a subjective study. Fakultet elektrotehnike i računarstva. https://urn.nsk.hr/urn:nbn:hr:168:054069.

Šilić, M., Sužnjević, M. and Skorin Kapov, L. 2022. FPV Drone Control QoE - Quality scores of a subjective study. Fakultet elektrotehnike i računarstva. [Online]. [Accessed 26 November 2024]. Available from: https://urn.nsk.hr/urn:nbn:hr:168:054069.

Šilić M, Sužnjević M, Skorin Kapov L. FPV Drone Control QoE - Quality scores of a subjective study. [Internet]. Fakultet elektrotehnike i računarstva: Zagreb, HR; 2022, [cited 2024 November 26] Available from: https://urn.nsk.hr/urn:nbn:hr:168:054069.

M. Šilić, M. Sužnjević and L. Skorin Kapov, FPV Drone Control QoE - Quality scores of a subjective study, Fakultet elektrotehnike i računarstva, 2022. Accessed on: Nov 26, 2024. Available: https://urn.nsk.hr/urn:nbn:hr:168:054069.

Title (english)FPV Drone Control QoE - Quality scores of a subjective study
AuthorMatko Šilić
Sveučilište u Zagrebu, Fakultet elektrotehnike i računarstva
AuthorMirko Sužnjević
Sveučilište u Zagrebu, Fakultet elektrotehnike i računarstva
AuthorLea Skorin-Kapov
Sveučilište u Zagrebu, Fakultet elektrotehnike i računarstva
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Information Systems
Abstract (english)
This dataset contains data collected in a subjective study for evaluating Quality of Experience of an FPV drone simulator. The dataset consists of participant demographics, quality scores, and level of simulator sickness symptoms. The data is available as an excel spreadsheet.
Methods (english)We devised a laboratory setup employing an FPV drone simulator through a cloud gaming system in a local area network. Participants signed the consent for data collection and filled out a demographics questionnaire. They tested the environment in person with FPV goggles and a controller, filling out an online questionnaire after each scenario. Testing scenarios differ in resolution, frame rate, and bitrate. Participants also filled out a questionnaire for simulator sickness symptoms upon finishing the testing.
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:054069
Publication2022-02-18
Collected2021-01
Version1.0
GeolocationZagreb, Croatia
ProjectNumber: KK.01.2.1.02.0054
Title (croatian): Razvoj uređaja za prijenos video signala ultra niske latencije
Title (english): Development of ultra low latency video signal transmission device
Acronym: DRUNE
Leader: Doc. dr. sc. Daniel Hofman
Jurisdiction: Croatia
Funding stream: EFRR
ProjectNumber: IP-2019-04-9793
Title (croatian): Modeliranje i praćenje iskustvene kvalitete imerzivnih višemedijskih usluga u 5G mrežama
Title (english): Modeling and Monitoring QoE for Immersive 5G-Enabled Multimedia Services
Acronym: Q-MERSIVE
Leader: Lea Skorin-Kapov
Jurisdiction: Croatia
External related objectIs part of: DOI https://doi.org/10.1109/QoMEX51781.2021.9465385
PublisherFakultet elektrotehnike i računarstva
Faculty of Electrical Engineering and Computing
Access conditionsOpen access
Terms of useLicence Public Domain Dedication icon
Created on2022-02-18 13:43:49