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Multisensory Expert-Based Support System for the Firefighter’s Training Performance Evaluation
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
2018 (English)Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The primary purpose of this thesis work is to design and implement a system supporting the fire-fighter’straining evaluation. The solution presented in this report comprises a real-time locating system andInertial Measurement Unit that collect the training data and an application built with the Unity3D gameengine used for processing.

Before the presented application can process any data, a training facility must be recreated, and atrainer or an expert must define training guidelines, such as zones that a trainee must visit, objectshe/she has to see, and the required execution time. After this preparation and completed trainingsession, collected data is processed and the visualization together with evaluation process begins. Theprogram visualizes trainee’s position and his/her field of view and evaluates his performance. For thelatter, it uses the Unity3D collision detection feature. After the evaluation, the trainer can see detailedresults with recorded time stamps, and using them, he/she can fast forward to specific, important points,reducing the time to analyze trainee’s performance throughout the whole training.

Tests which the authors conducted confirm that the built system meets requirements and is useful forevaluation of the trainee’s performance.

Place, publisher, year, edition, pages
2018. , p. 72
Keywords [en]
RFID, trainee's evaluation, IMU, localization system, assesment
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:bth-17137OAI: oai:DiVA.org:bth-17137DiVA, id: diva2:1257370
External cooperation
Krzysztof Plaga, ITWIDE
Subject / course
ET2566 Master's Thesis (120 credits) in Electrical Engineering with emphasis on Signal processing
Educational program
ETASX Master of Science Programme in Electrical Engineering with emphasis on Signal Processing
Presentation
2016-10-28, 15:21 (English)
Supervisors
Examiners
Available from: 2018-10-22 Created: 2018-10-19 Last updated: 2018-10-22Bibliographically approved

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BTHCeszlakZydanovicz(2824 kB)252 downloads
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Type fulltextMimetype application/pdf

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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Output format
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