Charlotte Folinus

student | engineer | tinkerer

Flat Light Simulation

As part of 2.s983 (Sports Technology: Innovation and Engineering, taught by Peko Hosoi and Christina Chase), I simulated flat light, a dangerous condition for skiers caused by the refraction of light through clouds and snow in the air. To do this, I designed and assembled a testing apparatus to simulate the conditions in interior conditions. Working with Shred Optics, my team of three and I captured and analyzed images and athlete perceptions using goggles under these simulated flat light conditions. We quantified goggles through image capture and measured athlete perceptions through extended user testing of a variety of goggles.

 

As the Team Lead and Financial Officer, I organized our team's strategic efforts and led communication with our sponsors, technical advisors, and professors. I also managed our $1000 budget and coordinated our testing schedule with subjects.

 

Above: a middle-stage iteration shown with goggle lenses mounted. Users rated their vision through each of thirteen contrast-enhancing goggles (left) compared to the baseline lens (right).

My team’s work was highlighted on the MIT homepage as the daily spotlight on January 30, 2018 in the buildup to the 2018 Winter Olympics. Click here to read full article.

An initial concept sketch of the testing setup showing diffuse panels, a camera, an artificial snow landscape, and full spectrum lights.

 

Pilot testing and feedback from our sponsors at Shred helped us refine our apparatus design.

MATLAB was used to identify image characteristics and correlate these with user preferences to identify the features which were most correlated to strong user preference.

 

We used a number of correlation tests and also did preliminary work with machine learning algorithms (k-means) to cluster image properties associated with high user ratings.

CHARLOTTE FOLINUS

cfolinus@mit.edu