Research Article
Bed Position Classification by a Neural Network and Bayesian Network Using Noninvasive Sensors for Fall Prevention
| Subject | Position | Clean dataset | Training set | Test set | # of samples | # of time intervals | # of samples | # of time intervals |
| A | Off-bed | 280 | 4 | 120 | 4 | Sitting | 280 | 4 | 120 | 4 | Lying center | 280 | 4 | 120 | 4 | Lying left | 280 | 4 | 120 | 4 | Lying right | 280 | 4 | 120 | 4 |
| B | Off-bed | 280 | 4 | 120 | 4 | Sitting | 280 | 4 | 120 | 4 | Lying center | 280 | 4 | 120 | 4 | Lying left | 280 | 4 | 120 | 4 | Lying right | 280 | 4 | 120 | 4 |
| C | Off-bed | 187 | 4 | 80 | 4 | Sitting | 187 | 4 | 80 | 4 | Lying center | 187 | 4 | 80 | 4 | Lying left | 187 | 4 | 80 | 4 | Lying right | 187 | 4 | 80 | 4 |
| Total | Off-bed | 747 | 12 | 320 | 12 | Sitting | 747 | 12 | 320 | 12 | Lying center | 747 | 12 | 320 | 12 | Lying left | 747 | 12 | 320 | 12 | Lying right | 747 | 12 | 320 | 12 |
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