MoveSmarter 1.2

MoveSmarter provides a quantitative, analytical approach to movement education. During training, wearable sensors capture synchronized data (video, pressure, 3D acceleration, and 3D gyroscope) and upload it to the cloud where processing yields movement analysis feedback designed to help users understand and improve their technique.

• Data capture and cloud processing: The system collects video and sensor data from wearables and stores it in the cloud for analysis.
• Feedback features: The analyzed feedback includes synchronized, detailed, and color-coded annotations, animations, and comments on movement, with audio feedback layered over the video.
• Analytical foundation: Feedback is calculated using biomechanics principles and novel movement interpretation algorithms.
• Sharing and collaboration: Users can authorize access to their movement data and feedback to other users worldwide for community engagement and learning.