A Phase Variable Approach for IMU-Based Locomotion Activity Recognition

Conclusions: The proposed method may provide improved classification accuracy for gait classification applications trained with nonsubject-specific data. Significance: This paper offers a new method of gait classification based on a phase variable description. The method is shown to provide improved classification accuracy relative to an LDA pattern recognition framework when trained with nonsubject-specific data.
Source: IEEE Transactions on Biomedical Engineering - Category: Biomedical Engineering Source Type: research