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Mean (SD) computational time to train the Gaussian process regression model using three separate feature sets containing strides from all five ambulation tasks and test on individual strides of each ambulation task for the hip, knee and ankle.
| Feature set | Training time (s) | Testing time (ms) |
|---|---|---|
| Surface electromyography | 6.48 | 1.3 |
| Anterior sonomyography | 6.22 | 4.4 |
| Posterior sonomyography | 5.93 | 4.7 |
| Anterior sensor fusion | 23.45 | 5.4 |
| Posterior sensor fusion | 17.89 | 5.4 |
