Table 5 Final experimental result for self-placement and mutual-placement scenarios
From: Feature extraction for robust physical activity recognition
Train set | Test set | Baseline [24]: Evaluation method: random-partitioning Null-activity: truncated | This paper: Evaluation method: subject-wise Null-activity: included | ||
|---|---|---|---|---|---|
Accuracy % | F-measure | Accuracy % | F-measure | ||
Ideal | Ideal | 97.0 | – | 99.1 | 0.991 |
Self | Self | 88.4 | – | 98.9 | 0.988 |
Mutual4 | Mutual4 | 71.2 | – | 87.9 | 0.847 |
Mutual5 | Mutual5 | 71.6 | – | 93.5 | 0.921 |
Mutual6 | Mutual6 | 77.2 | – | 96.4 | 0.959 |
Mutual7 | Mutual7 | 68.0 | – | 83.2 | 0.799 |