Research Article
The Method for Identifying Employees’ Emotions in Adverse States Incorporating PSO-kNN Algorithm and Multiple Physiological Parameters
Table 3
The classification of three stress emotions by physiological signals and their features’ combination.
| Physiological signals | Number of original features | Optimal subset feature number | Average recognition rate (%) | Not to baseline kNN | Removal of baseline kNN | Not to baseline kNN | Removal of baseline kNN |
| BP | 3 | 2 | 1 | 41.67 | 50.00 | HR | 6 | 2 | 2 | 50.00 | 66.67 | RR | 6 | 3 | 3 | 58.33 | 66.67 | PR | 6 | 2 | 3 | 58.33 | 66.67 | SpO2 | 6 | 1 | 1 | 33.33 | 33.33 | SC | 6 | 2 | 1 | 58.33 | 66.67 | ALL | 33 | 7 | 7 | 66.67 | 75.00 |
|
|