Mobile Correction

The software harnesses IMU sensors in wearable devices or fitness equipment to monitor and analyze users' real-time movements, pinpointing incorrect patterns and poor form. It then compares this data with a database of proper movement. Through continual analysis, it refines its understanding of correct movement. This collective insight enables the software to deliver tailored corrective guidance directly to users. Furthermore, the software anonymously aggregates and evaluates user movement data to enhance its corrective strategies. Leveraging machine learning, it adapts and optimizes its solutions for similar movement challenges, ensuring ongoing refinement and effectiveness for all users.

Built With

• arduino
• c++
• python