Problem

Our client, a fitness company, was struggling to accurately track and analyze the movements of their users during workouts. They wanted to provide personalized feedback to their users and improve the overall user experience, but their current technology was not up to par.

We identified that the root of the problem was that their current system relied on manual input from trainers and lacked real-time tracking capabilities. This made it difficult for trainers to keep up with all of their clients and provide timely feedback.

Solution

We proposed an AI-powered human motion tracking system that would allow for real-time analysis of user movements during workouts. Our team utilized computer vision algorithms and machine learning models to accurately track and analyze user movements without any manual input from trainers.

The system also provided personalized feedback to each user based on their specific movements, allowing them to make adjustments in real-time. We implemented this technology into a mobile app that users could easily access during workouts.

Impact

Improved user experience by providing personalized feedback - X% increase in user satisfaction
Increased efficiency for trainers by automating tracking process - X% decrease in trainer workload
Increase in overall engagement with the mobile app - X% increase in daily active users

"This technology has revolutionized the way our clients workout and has greatly improved our ability to provide personalized feedback. It's incredible how much more efficient our trainers have become since implementing this system."

Team

Team Member #1 - Software Engineer
- Developed computer vision algorithms for motion tracking
- Implemented machine learning models for real-time analysis of user movements
Team Member #2 - UX Designer
- Designed and developed the mobile app interface
- Conducted user research to inform design decisions

AI Motion Tracking Boosts Fitness App Engagement