In addition to Barlas, the jury for identifying the best-in-show prize recipient consisted of Medy Agami (MscA Instructor), Ashish Pujari (Alumnus and MScA Instructor), and Daniel Shapiro from Mathematica. The $5,000 best-in-show prize can be used in the upcoming year to attend an analytics-related conference or to take additional Graham School courses as Alumni Scholars.
Begun with a more general idea than yoga in mind, “Skeletal Insights” sought to measure something that isn’t typically measured, in this case human skeletal movement, with the intention of developing a fitness-related application further down the road. Using a camera to estimate skeletal movement from change in body surface shapes, the team was able to extract data and then judge whether it approximated a fitness- or sport-related form.
“You could compare, for instance, how your golf swing relates to Tiger Woods’,” noted Chaudhary. “Or how the form of your basketball shot compares to Michael Jordan’s.”
“We settled on yoga,” added Copper, “because it’s a fitness area with concrete labels that reflect a particular skeletal alignment.”