Research Article
Research on Aided Judgment of Rural Sports Posture Based on Deep Learning
Table 8
Traditional pose detection algorithm.
| Target number | Goal 1 | Goal 2 | Goal 3 | Goal 4 | Goal 5 | Goal 6 | Goal 7 | Goal 8 |
| Total number of frames | 204 | 204 | 204 | 204 | 204 | 204 | 204 | 204 | Number of missed inspections | 9 | 11 | 12 | 10 | 13 | 8 | 7 | 9 | Missed detection rate (%) | 4.6 | 5.4 | 5.9 | 4.9 | 6.4 | 3.9 | 3.4 | 4.4 | Action accuracy | 95.0% | 93.6% | 94.7% | 94.6% | 93.6% | 93.9% | 94.0% | 95.1% | Recording time (minutes) | 5.1 | 5.3 | 5.5 | 5.4 | 5.5 | 5.7 | 5.9 | 5.8 |
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