"I think that is where the future will be, but it's still a tough hill to climb,” says Chris Yakacki, president and CTO of Impressio, CU Denver associate professor of engineering. “All of us have adopted some approach that allows you to tailor the spots in and around the helmet rapidly. We are making them on a daily basis in the lab, and doing these iterations on an extreme pace. We can go through three or four iterations in a week.
“One helmet shouldn’t fit all, and one test shouldn’t fit all. We’ll get more information to say, for this position, these locations are going to get hit more frequently. And then using our models, using our test equipment, we can simulate and optimize not only for the general test criteria but for very specific position criteria.”
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