As beleaguered parents all over the country endeavor to prod their kids to finish their requisite science fair projects, some may find it helpful to provide some inspiration from past winners of the Intel International Science and Engineering Fair. These are not your basic tabletop volcanoes or series of potted sunflowers. Many sport titles that you'd expect to see gracing the pages of the most prestigious scientific journals, and some of them actually have. Others became inventions developed for use in the wider world while their inventors were still in high school. Each and every one of these projects won their teenage researchers big prizes and hefty scholarships to ensure their future success.
1. The Sign Translator
It's a glove that translates American Sign Language into large, easy to read letters on a computer screen. This is a kid who carried around an electrical cord instead of a security blanket as a toddler, and requested extension cords from Santa. He helped his dad rewire an extension to their house when he was 6, and managed to live through a bad experiment once when he stuck a screwdriver into an outlet. Ouch! Doesn't seem to have hurt his brain much, though.
2. Prototype for Autonomy: Pathway for the Blind
Inspired by his love for his father, who is visually impaired, Ammem set out to find a way to help and ended up not just winning the big prizes at ISEF, but being named an official Science Hero. He describes his invention, said to be one of the biggest innovations for the blind since the invention of Braille, as "an 'On-Star' system at the handheld level for the blind." Abdulrasool planned to major in business administration at the University of Illinois, Urbana Champaign.
3. Brain-Computer Interface for the Muscularly Disabled
The algorithm interprets signals from the brain when a person thinks about a task. For interpreting which keys on a keyboard these wavelets are signaling, Glassman achieved 90 percent accuracy using EEG wavelets she found in the public domain. When putting that to use with electrodes on her own scalp and interpreting the specific wavelets for particular keys, she managed over 70 percent accuracy. This informed her that in real life applications the software had to be customized to each user. Impressive!
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