1. Human Factors of Schlieren Flow Visualization Analysis
Student: Nicholas Arnold-Medabalimi
RISE Element: Research
Mentor: Dr. Christopher Cadou
Background:
Previous Work:
An important part of flow visualization is the identification of flow features and their characteristics.
This adds a human factor as one must individually examine and characterize each frame
Graduate students working under Dr. Cadou have developed machine vision which can quickly analyze large quantities of pictures
Objective:
It is important to understand how the traditional measurement of Schlieren image features compares with the newer automated techniques
To achieve this a tool is being created which can be used to test humans capability to reliably calculate flow feature characteristics
The data from the use of this tool will be compared with that of already created automated identification techniques
Status
The tool has been developed to the point that it will show users various Schlieren images and allow them to attempt to identify and measure features.
Next Steps
Looking into the proper process and considerations that need to taken due to the nature of human surveying
Possible distribution systems(Closed Survey vs. Crowd sourced)