Analysing temporal performance profiles of UAV operators using time series clustering
- Submitting institution
-
Middlesex University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1416
- Type
- D - Journal article
- DOI
-
10.1016/j.eswa.2016.10.044
- Title of journal
- Expert Systems with Applications
- Article number
- -
- First page
- 103
- Volume
- 70
- Issue
- -
- ISSN
- 0957-4174
- Open access status
- Technical exception
- Month of publication
- October
- Year of publication
- 2016
- URL
-
http://eprints.mdx.ac.uk/28799/
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- 17
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents the first system used to create behavioral profiles of Unmanned Air Vehicule (UAV) controllers that consider their learning evolution during the training process. It was applied to training real users in a simulated scenario. This is significant because the system allows Airbus to identify promising operators during their training on UAVs. In particular, the system is based on multivariate time series clustering. It extracts a set of representative operator performance profiles, where the performance evolution during a mission is selected as the analysis granularity. It was part of SAVIER (Situational Awareness Virtual Environment) project, funded by Airbus.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -