Sagemotion

We started SageMotion because movement training research was confined by tethered equipment, constraining software, and closed algorithm code. That’s why we created the world’s first wearable haptic feedback system with full customization and open algorithm code. We find great satisfaction in enabling excellent biomechanics researchers to perform novel motion training research that can significantly impact humanity by improving movement in medical and sports applications. Why SageMotion? Haptic Feedback. Customization. Open Algorithm Code. Haptic feedback training naturally guides new movements for a wide range of impacting medical and athletic applications including to: reduce joint loading, correct asymmetry, increase walking stability, improve neurological gait deficits, reduce injury risk, improve running economy, improve standing balance, augment balance disorders, reduce ACL injury risk, enhance rehabilitation, augment sensory deficits, and facilitate post-surgery recovery. Customization opens the possibility of an unlimited application space. Place haptic feedback/sensing nodes in any configuration across the body to measure and train the wide array of human movements. Open algorithm code allows you to understand how movement angles are calculated and how feedback cues are initiated. Open algorithm code is in python, the most widely used and highly recommended programming language in the world for developing advanced algorithms, so you can even create and implement your own movement training code! Learn more: