Research Article
Position-Based Feature Selection for Body Sensors regarding Daily Living Activity Recognition
Table 6
Recognition performance for thirteen activities in terms of F1-score metric.
| | Activity | Leutheuser et al. | Zdravevski et al. | Proposed method |
| | Sitting | 94.10% | 93.07% | 96.83% | | Lying | 100% | 100% | 99.74% | | Standing | 90.93% | 74.40% | 97.35% | | Washing dishes | 96.50% | 79.21% | 99.83% | | Vacuuming | 85.13% | 100% | 96.88% | | Sweeping | 88.57% | 100% | 98.74% | | Walking | 98.89% | 94.48% | 99.81% | | Ascending stairs | 95.55% | 98.50% | 99.73% | | Descending stairs | 94.80% | 91.50% | 98.65% | | Treadmill running (8.3 km/h) | 100% | 94.80% | 100% | | Bicycling on an ergometer (50 W) | 63.50% | 99.60% | 98.62% | | Bicycling on an ergometer (100 W) | 58.75% | 99.55% | 99.01% | | Rope jumping | 100% | 98.43% | 100% | | Overall accuracy | 89.00% | 93.00% | 99.13% |
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