Explore academic research and publication pathways through hands-on projects
Fitness Tech provides opportunities for students to engage in academic research through hands-on project development, data collection, and analysis. While we're building these research pathways, members will have the chance to contribute to meaningful work in wearable technology and AI fitness applications.
Coming Soon
We're working to establish faculty partnerships for mentorship and academic guidance.
Our anticipated 6-month research cycle for project development and academic output
Nov - Jan
Create working prototypes through iterative hardware and software development
Feb - Mar
Collect user data and validate accuracy of biometric measurements
Mar - Apr
Process collected data and train machine learning models
Apr - May
Write research documentation and prepare presentations
Validating heart rate and motion tracking accuracy against medical-grade devices
Training ML models to classify different exercise types from motion sensor data
Studying wearability, comfort, and usability of fitness tracking devices
Developing efficient algorithms for real-time biometric data analysis
Design and conduct user testing sessions to gather biometric and motion data
Research existing studies on wearable fitness technology and biometric accuracy
Process and analyze collected data using statistical methods and visualization tools
Write research reports, create presentations, and prepare conference submissions
Join our research team and contribute to academic exploration of fitness technology.
Apply Now