Research on three-dimensional modeling and motion capture technology for accordion playing hand posture
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17 mar 2025
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Publicado en línea: 17 mar 2025
Recibido: 20 oct 2024
Aceptado: 03 feb 2025
DOI: https://doi.org/10.2478/amns-2025-0318
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© 2025 Bohua Yang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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Statistics of two test sequences in the experiments
| Sequence | Frame number | Anchor point | Vertex number | Occlusion | Capture device |
|---|---|---|---|---|---|
| 1 | 450 | 13 | 40~68k | Yes | IVCam |
| 2 | 450 | 16 | 8~12k | Yes | Kinect |
Delay of each model
| Models | Delay/ms |
|---|---|
| SVM | 114 |
| K-close | 138 |
| FNN | 153 |
| Boosting | 109 |
Accuracy of each hand gesture recognition
| Hand gesture | A/% |
|---|---|
| Natural relaxation | 98.32 |
| Basic position | 98.27 |
| Finger independence | 96.49 |
| Finger curvature | 96.54 |
| Span | 98.83 |
| Weight and speed | 98.47 |
| Wrist position | 98.09 |
| Shoulder position | 98.52 |
| Arm position | 98.13 |
