Enhancing Basketball Shooting Performance with Biomechanical Data and AI
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.
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Team composition
5 members
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Expertise used
AI/ML, Biomechanical Device Integration, Mobile Development, Sensor Data Processing, Scalable Cloud Infrastructure
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Duration
6 months - on going
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Services provided
AI and ML Implementation, IoT System Integration, Real-Time Analytics Development, Deployment and Post-Launch Support
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Region
USA
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Industry
Sports Technology
Understanding the challenge
The client faced several challenges, including
Precision Data Capture
Accurately tracking shooting motions with minimal latency using biomechanical sensors.
Real-Time Analysis
Delivering immediate feedback to users based on joint movements and form.
Device Integration
Seamlessly pairing with MetaMotionS sensors and capturing high-fidelity motion data.
User-Friendly Experience
Building an intuitive mobile app interface for coaches and players to access 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:
Sensor Integration
Real-time connection to MetaMotionS biomechanical sensors enables joint angle measurement and precise motion tracking.
AI-Powered Shooting Analysis
Implementation of LSTM neural networks for motion pattern detection and algorithmic comparison between ideal and actual shooting forms.
User Interface
iOS native application built in Swift featuring interactive dashboards designed for coaches and players.
Performance Feedback
Visual insights with correction suggestions, along with historical performance tracking and progress monitoring.
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.
