The idea was to create a sleeve that can track consistent form, for anyone who needs to maintain a follow through over and over and over, specifically looking at athletes. I wanted to take this idea to the next level by actually prototyping it, and getting it to function. With something like this, partnered with AI software or more, the user could really get to understand themselves and how to better their form with whatever application they decide to use it for.

EXPANDED TECHNICAL DETAILS

High-Speed Motion Recognition

This wearable project detects specific rotational gestures ("Flicks") of the wrist to trigger external actions.

• Imu Processing: Uses the MPU6050 6-DOF sensor. The Arduino samples the Gyroscope data at 100Hz to detect sudden angular velocity spikes associated with a flick movement.
• Gesture Algorithm: Implements a software "Trigger Window." A gesture is only recognized if the angular velocity exceeds a threshold and is immediately followed by a rapid deceleration.

Use Case Integration

• HID Command: When a flick is detected, the Arduino (acting as a USB keyboard) can send a "Space" or "Next" command to control presentations, music players, or digital spell-casting games with a simple hand movement.