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Research on motion capture of dance training pose based on statistical analysis of mathematical similarity matching

Qingwen Chen

Qingwen Chen

Department of Art, Shenzhen UniversityShenzhen, China
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Chen, Qingwen
, 
Abdullah Albarakati

Abdullah Albarakati

Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz UniversityJeddah, Saudi Arabia
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Albarakati, Abdullah
 y 
Lanlan Gui

Lanlan Gui

Department of Art, Shenzhen UniversityShenzhen, China
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Gui, Lanlan
  
22 nov 2021
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Publicado en línea: 22 nov 2021
Páginas: 127 - 138
Recibido: 17 jun 2021
Aceptado: 24 sept 2021
DOI: https://doi.org/10.2478/amns.2021.2.00053
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© 2021 Qingwen Chen et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Schematic diagram of computer vision classification.
Schematic diagram of computer vision classification.

Fig. 2

Least squares fitting curve.
Least squares fitting curve.

Fig. 3

Optical capture device hardware facilities.
Optical capture device hardware facilities.

Fig. 4

Flow chart of the optical operating system.
Flow chart of the optical operating system.

Fig. 5

3D data acquisition flowchart.
3D data acquisition flowchart.

Fig. 6

Method flow chart.
Method flow chart.

Fig. 7

Comparison of motion trajectories in a single direction between a single identification point.
Comparison of motion trajectories in a single direction between a single identification point.

Fig. 8

Plan view of human bone features.
Plan view of human bone features.

Fig. 9

Movement differences of the skeleton model.
Movement differences of the skeleton model.

Fig. 10

Timing diagram of left arm motion correlation parameters.
Timing diagram of left arm motion correlation parameters.

Discriminant vectors on the feature plane_

Feature plane Feature vector
Eigenvector left arm (P1) V1 = VLLarm × VLFarm
Right arm (P2) V2 = VRLarm × VRFarm
Left leg (P3) V3 = VLThigh × VLCrus
Right leg (P4) V4 = VRThigh × VRCrus
Head (P5) V5 = VLHead × VRHead
Chest (P6) V6 = VLChest × VRChest
Hip (P7) V7 = VLHip × VRHip

Correlation parameters of left arm gesture (0–1 s)_

Test subject Sim (V1, VStand) Corr (01) Corr (08)
Standard object 0.6943 0.9729 1
Test object 0.7025 0.8299 0.9815

Determining the included angle on the characteristic plane_

Feature plane Geometric relationship θMax θMin
Left elbow (P1) θ1 = <VLFarm, VLLarm> 180° 40°
Right elbow (P2) θ2 = <VRFarm, VRLarm> 180° 40°
Left knee (P3) θ3 = <VLThigh, VLCrus> 180° 35°
Right knee (P4) θ4 = <VRThigh, VRCrus> 180° 35°
Head (P5) θ5 = <VRHead, VLhead > - -
Chest (P6) θ6 = <VRChest, VLChest > - -
Hip (P7) θ7 = <VRHip, VLHip> - -

The angle between the joints_

Geometric relationship θMax θMin
Left shoulder θ 8 = <VLFarm, VStand> 180° 0°
Right shoulder θ 9 = <VRFarm, VStand> 180° 0°
Left hip θ 10 = <VLThigh, VStand> 45° 0°
Right hip θ 11 = <VRThigh, VStand> 45° 0°
head θ 12 = <V5, VStand> 45° 0°
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Ciencias de la vida, Ciencias de la vida, otros, Matemáticas, Matemáticas aplicadas, Matemáticas generales, Física, Física, otros
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