Enhancing Basketball Shooting Performance

Summary

The client partnered with Folio3 to develop a next-generation training solution that combines biomechanical sensors with advanced AI models. The goal was to provide real-time analysis and actionable insights on shooting form to help athletes and coaches improve accuracy and efficiency in training. Folio3 was tasked with designing a native mobile app integrated with a biomechanical sensor, capable of capturing detailed movement data and delivering AI-driven performance analytics.

About the Customer

The client is a U.S.-based sports technology startup focused on revolutionizing basketball training by leveraging wearable devices and AI. Their mission is to help players, coaches, and teams enhance shooting performance through real-time feedback and data-driven insights.

Solution

Folio3 designed and developed a comprehensive iOS-based mobile solution fully integrated with the MetaMotionS device. The platform captures real-time biomechanical data and leverages advanced machine learning models, including LSTM networks, to analyze player shooting mechanics and detect patterns. The app provides instant feedback and analytics that help users fine-tune their technique during practice.

Key features developed by Folio3 include:

Result

Folio3’s solution enabled the client to deliver high-precision shooting analytics with real-time feedback. Players and coaches gained actionable insights into biomechanical performance, which improved shooting accuracy and consistency. The integration of LSTM models and wearable sensors created a powerful, data-driven training environment, while the scalable mobile app ensured accessibility and ease of use for end users.