Skip to main content

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