Gait spatial parameter estimation from smart insoles using deep learning in a large heterogeneous clinical population
The proposed smart insole-based gait parameter estimation approach that includes diverse health conditions while minimizing feature engineering and eliminating the need for demographic or anthropometric inputs showed excellent agreement with the reference system across walking speeds and evaluation levels.