ECU Using Wearable Sensors to Improve Baseball Hitting
East Carolina University is conducting research on the baseball swing. The team is using wearable sensors to track movement related to head placement and eye tracking.
Using motion-capture and eye-tracking technology, ECU wants to help players and coaches know what hitters see, how and why they react to it, and, ultimately, turn them into better players. Specifically, they are focusing on what a hitter’s eyes see as a pitch is hurling toward them at upward of 100 miles per hour and how the brain processes that visual information and then instructs the body to swing. It’s the science of hitting.
The study is led by ECU kinesiology faculty members Nick Murray and Patrick Rider. The researchers, along with a group of students tested hitters last fall at Next Level Training Center in Greenville. Test batters from high school to semi-pro levels were fitted with dozens of sensors as well as special goggles to track their eye movements as they watched and then swung at pitches, said a press release.
Adafruit publishes a wide range of writing and video content, including interviews and reporting on the maker market and the wider technology world. Our standards page is intended as a guide to best practices that Adafruit uses, as well as an outline of the ethical standards Adafruit aspires to. While Adafruit is not an independent journalistic institution, Adafruit strives to be a fair, informative, and positive voice within the community – check it out here: adafruit.com/editorialstandards
Stop breadboarding and soldering – start making immediately! Adafruit’s Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, jump into CircuitPython to learn Python and hardware together, TinyGO, or even use the Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for CircuitPython, MakeCode, and Arduino. It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand.
Have an amazing project to share? The Electronics Show and Tell is every Wednesday at 7pm ET! To join, head over to YouTube and check out the show’s live chat – we’ll post the link there.
Python for Microcontrollers — Python on Microcontrollers Newsletter: MicroPython Pico W Bluetooth, CircuitPython 8.0.4 and much more! #CircuitPython #Python #micropython @ThePSF @Raspberry_Pi
