Table 6 Final experimental result for self-placement and mutual-placement scenarios: using ideal-placement for training
From: Feature extraction for robust physical activity recognition
This paper: Evaluation method: subject-wise Null-activity: included | |||||||
|---|---|---|---|---|---|---|---|
Train set | Test set | Accuracy % | F-measure | Train set | Test set | Accuracy % | F-measure |
Mutual4 (2 subjects) | Mutual4 (1 subject) | 87.9 | 0.847 | Ideal (16 subjects) | Mutual4 (1 subject) | 99.0 | 0.990 |
Mutual5 (2 subjects) | Mutual5 (1 subject) | 93.5 | 0.921 | Ideal (16 subjects) | Mutual5 (1 subject) | 98.1 | 0.982 |
Mutual6 (2 subjects) | Mutual6 (1 subject) | 96.4 | 0.959 | Ideal (16 subjects) | Mutual6 (1 subject) | 99.0 | 0.990 |
Mutual7 (2 subjects) | Mutual7 (1 subject) | 83.2 | 0.799 | Ideal (16 subjects) | Mutual7 (1 subject) | 94.5 | 0.938 |
Self (16 subjects) | Self (1 subject) | 98.9 | 0.988 | Ideal (16 subjects) | Self (1 subject) | 98.9 | 0.989 |