Validation

Take a deep dive into the science behind our platform with these white papers, research articles and validation papers.

External

Accuracy of Reactive Strength Index (RSI) assessed with an instrumented insole Lawson et al. CSB 2020 (abstract) – to be published late 2020

Accuracy of (running) speed prediction with smart insoles
Lawson et al. CSB 2020 (abstract) – to be published late 2020

Internal

Speed Validation Paper

Ground Interaction (GRIN) Validation Paper

White Papers

The platform has a number of powerful capabilities made possible by combining machine learning and AI with our high fidelity sensor insoles.

Why Plantiga Is The Ideal Platform for Deep Neural Network Machine Learning for Activity Recognition

Accurately Predicting Changes in Load Related to Body-Worn Equipment

The Need to Calibrate IMU Sensors (Calibration for Improved Accuracy)