MajesTech_PPT
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This document describes the development of a wearable technology product to analyze a baseball batter's swing. Sensors are placed in the batter's shoes to measure foot pressure, tilt, and pivot throughout the swing. The data is sent to a mobile app via a microcontroller for real-time feedback and analysis. The goal is to help batters and coaches identify areas for improvement by comparing movements to successful hitters. Additional sensors and connectivity could further enhance swing analysis capabilities.
MajesTech_PPT
- 2. Baseball & Wearable Technology DEVELOPMENT PROCESS
- 3. Challenges • Bulky Hardware • User Adaptability • The “Perfect Swing” • Overall lack of time/resources
- 4. Batting Stance Theory • A “perfect swing” may not exist – BUT there are common movements players make throughout a successful swing • Studied several videos of homerun hitters to find common gestures
- 7. Product Features • Foot pressure sensors (via FSR) • Foot tilt sensors (via accelerometer) • Foot pivot sensors (via compass) • Real-time vibrating pressure feedback • Real-time pressure tracking (mobile app) • Real-time tilt tracking (mobile app) • Real-time foot pivot tracking (mobile app)
- 9. Hardware: Microcontroller Powered by a Adafruit’s FLORA microcontroller
- 10. Hardware: Battery The 3.7v battery powers the FLORA microcontroller & all its components
- 11. Hardware: Conductive Thread Connects the FLORA to all its components including: • Battery • Pressure sensor • Accelerometer • Vibrating motor disk
- 12. Hardware: Sensors Measures the pressure placed on each foot throughout a players swing Measures the position of the foot on the x- , y- & z- axis
- 13. Hardware: Output Vibrates on side of foot when player needs to switch pressure on feet
- 14. Programming Overview • Code Overview – A combination of the C++ & Java were used to program hardware & mobile app • Applications Used – Libraries/applications were used to write our code: • Adafruit Arduiono 1.0.5.2 • Processing 2.1.1
- 15. Programming: Hardware • Arduino used to run sensors + extract data • For each, we used combinations of for loops(), if statements + Boolean logic to extract data from sensors and generate feedback via sensors + the mobile app
- 19. Output: Mobile App • Mobile App Overview – Apps target users are both the players and coaches looking to improve batting stance
- 20. Mobile App Design Overview
- 21. Design Overview • Majestic’s blue & red used for inspiration – Color’s saturation will be modified to create a brighter, tech-centered palette • Fonts will be different variations of Helvetica Nueve • White background to create contrast
- 22. Data Analysis Design Potential
- 26. Programming: Mobile app • Processing used to generate data into visuals that interact with data • Used a combination of custom functions with for loops() and if statements to generate colors and shapes that represent the data over time
- 30. Mobile App in Action
- 31. Mobile App in Action
- 32. Mobile App in Action
- 33. Product Potential • Additional sensors: – Pressure sensor in ball and heel of each foot to track pressure shift from front to back – Distance sensor on inside of each foot to detect width of batter’s stance – Bluetooth connection to communicate with mobile application – LED battery status indicator
- 34. Thank-you for your time! QUESTIONS?