r2021a simulink model Search Results


94
Quanser Consulting qube servo 2
Qube Servo 2, supplied by Quanser Consulting, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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96
MathWorks Inc simulink real time model
Simulink Real Time Model, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 96 stars, based on 1 article reviews
simulink real time model - by Bioz Stars, 2026-05
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93
MathWorks Inc simulink 3d animation version r2023a
( a ) Twenty-one hand-knuckle landmarks obtained from MediaPipe hand landmark model, and their corresponding anatomical areas are illustrated on the left side image. Each dot represents the joints, and line represents the Euclidean distance from each joint. Corresponding labels in the illustration are - 1. Wrist, 2. CMC-T, 3. MCP-T, 4. IP-T, 5. TIP-T, 6. MCP-I, 7. PIP-I, 8. DIP-I, 9. TIP-I, 10. MCP-M, 11. PIP-M, 12. DIP-M, 13. TIP-M, 14. MCP-R, 15. PIP-R, 16. DIP-R, 17. TIP-R, 18. MCP-P, 19. PIP-P, 20. DIP-P, 21. TIP-P. The right-side image represents the virtual hand model with 14 joints, labeled as 1. MCP-T, 2. IP-T, 3. MCP-I, 4. PIP-I, 5. DIP-I, 6. MCP-M, 7. PIP-M, 8. DIP-M, 9. MCP-R, 10. PIP-R, 11. DIP-R, 12. MCP-P, 13. PIP-P, 14. DIP-P where T-Thumb, I-Index, M-Middle, R-Ring and P-Pinky fingers. ( b ) The first five hand gestures recognized through MediaPipe from mudras and natural grasps dataset is illustrated here. Their corresponding virtual hand model obtained by applying Gaussian function to 14 joint angular velocities is shown below them. Here M – Mudras, VM – Virtual Mudras, N – Natural Grasps, VN – Virtual Natural Grasps. The numbers indicates the corresponding hand gestures in Table . Virtual 3D Hand Model was developed using V-Realm Builder, MATLAB Simulink 3D Animation , Version <t>R2023a</t> .
Simulink 3d Animation Version R2023a, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 93 stars, based on 1 article reviews
simulink 3d animation version r2023a - by Bioz Stars, 2026-05
93/100 stars
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96
MathWorks Inc matlab simulink r2024a
( a ) Twenty-one hand-knuckle landmarks obtained from MediaPipe hand landmark model, and their corresponding anatomical areas are illustrated on the left side image. Each dot represents the joints, and line represents the Euclidean distance from each joint. Corresponding labels in the illustration are - 1. Wrist, 2. CMC-T, 3. MCP-T, 4. IP-T, 5. TIP-T, 6. MCP-I, 7. PIP-I, 8. DIP-I, 9. TIP-I, 10. MCP-M, 11. PIP-M, 12. DIP-M, 13. TIP-M, 14. MCP-R, 15. PIP-R, 16. DIP-R, 17. TIP-R, 18. MCP-P, 19. PIP-P, 20. DIP-P, 21. TIP-P. The right-side image represents the virtual hand model with 14 joints, labeled as 1. MCP-T, 2. IP-T, 3. MCP-I, 4. PIP-I, 5. DIP-I, 6. MCP-M, 7. PIP-M, 8. DIP-M, 9. MCP-R, 10. PIP-R, 11. DIP-R, 12. MCP-P, 13. PIP-P, 14. DIP-P where T-Thumb, I-Index, M-Middle, R-Ring and P-Pinky fingers. ( b ) The first five hand gestures recognized through MediaPipe from mudras and natural grasps dataset is illustrated here. Their corresponding virtual hand model obtained by applying Gaussian function to 14 joint angular velocities is shown below them. Here M – Mudras, VM – Virtual Mudras, N – Natural Grasps, VN – Virtual Natural Grasps. The numbers indicates the corresponding hand gestures in Table . Virtual 3D Hand Model was developed using V-Realm Builder, MATLAB Simulink 3D Animation , Version <t>R2023a</t> .
Matlab Simulink R2024a, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/matlab simulink r2024a/product/MathWorks Inc
Average 96 stars, based on 1 article reviews
matlab simulink r2024a - by Bioz Stars, 2026-05
96/100 stars
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94
MathWorks Inc simulink r2020a
( a ) Twenty-one hand-knuckle landmarks obtained from MediaPipe hand landmark model, and their corresponding anatomical areas are illustrated on the left side image. Each dot represents the joints, and line represents the Euclidean distance from each joint. Corresponding labels in the illustration are - 1. Wrist, 2. CMC-T, 3. MCP-T, 4. IP-T, 5. TIP-T, 6. MCP-I, 7. PIP-I, 8. DIP-I, 9. TIP-I, 10. MCP-M, 11. PIP-M, 12. DIP-M, 13. TIP-M, 14. MCP-R, 15. PIP-R, 16. DIP-R, 17. TIP-R, 18. MCP-P, 19. PIP-P, 20. DIP-P, 21. TIP-P. The right-side image represents the virtual hand model with 14 joints, labeled as 1. MCP-T, 2. IP-T, 3. MCP-I, 4. PIP-I, 5. DIP-I, 6. MCP-M, 7. PIP-M, 8. DIP-M, 9. MCP-R, 10. PIP-R, 11. DIP-R, 12. MCP-P, 13. PIP-P, 14. DIP-P where T-Thumb, I-Index, M-Middle, R-Ring and P-Pinky fingers. ( b ) The first five hand gestures recognized through MediaPipe from mudras and natural grasps dataset is illustrated here. Their corresponding virtual hand model obtained by applying Gaussian function to 14 joint angular velocities is shown below them. Here M – Mudras, VM – Virtual Mudras, N – Natural Grasps, VN – Virtual Natural Grasps. The numbers indicates the corresponding hand gestures in Table . Virtual 3D Hand Model was developed using V-Realm Builder, MATLAB Simulink 3D Animation , Version <t>R2023a</t> .
Simulink R2020a, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 94 stars, based on 1 article reviews
simulink r2020a - by Bioz Stars, 2026-05
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96
MathWorks Inc simulink toolbox
( a ) Twenty-one hand-knuckle landmarks obtained from MediaPipe hand landmark model, and their corresponding anatomical areas are illustrated on the left side image. Each dot represents the joints, and line represents the Euclidean distance from each joint. Corresponding labels in the illustration are - 1. Wrist, 2. CMC-T, 3. MCP-T, 4. IP-T, 5. TIP-T, 6. MCP-I, 7. PIP-I, 8. DIP-I, 9. TIP-I, 10. MCP-M, 11. PIP-M, 12. DIP-M, 13. TIP-M, 14. MCP-R, 15. PIP-R, 16. DIP-R, 17. TIP-R, 18. MCP-P, 19. PIP-P, 20. DIP-P, 21. TIP-P. The right-side image represents the virtual hand model with 14 joints, labeled as 1. MCP-T, 2. IP-T, 3. MCP-I, 4. PIP-I, 5. DIP-I, 6. MCP-M, 7. PIP-M, 8. DIP-M, 9. MCP-R, 10. PIP-R, 11. DIP-R, 12. MCP-P, 13. PIP-P, 14. DIP-P where T-Thumb, I-Index, M-Middle, R-Ring and P-Pinky fingers. ( b ) The first five hand gestures recognized through MediaPipe from mudras and natural grasps dataset is illustrated here. Their corresponding virtual hand model obtained by applying Gaussian function to 14 joint angular velocities is shown below them. Here M – Mudras, VM – Virtual Mudras, N – Natural Grasps, VN – Virtual Natural Grasps. The numbers indicates the corresponding hand gestures in Table . Virtual 3D Hand Model was developed using V-Realm Builder, MATLAB Simulink 3D Animation , Version <t>R2023a</t> .
Simulink Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/simulink toolbox/product/MathWorks Inc
Average 96 stars, based on 1 article reviews
simulink toolbox - by Bioz Stars, 2026-05
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96
MathWorks Inc simscape multibody
( a ) Twenty-one hand-knuckle landmarks obtained from MediaPipe hand landmark model, and their corresponding anatomical areas are illustrated on the left side image. Each dot represents the joints, and line represents the Euclidean distance from each joint. Corresponding labels in the illustration are - 1. Wrist, 2. CMC-T, 3. MCP-T, 4. IP-T, 5. TIP-T, 6. MCP-I, 7. PIP-I, 8. DIP-I, 9. TIP-I, 10. MCP-M, 11. PIP-M, 12. DIP-M, 13. TIP-M, 14. MCP-R, 15. PIP-R, 16. DIP-R, 17. TIP-R, 18. MCP-P, 19. PIP-P, 20. DIP-P, 21. TIP-P. The right-side image represents the virtual hand model with 14 joints, labeled as 1. MCP-T, 2. IP-T, 3. MCP-I, 4. PIP-I, 5. DIP-I, 6. MCP-M, 7. PIP-M, 8. DIP-M, 9. MCP-R, 10. PIP-R, 11. DIP-R, 12. MCP-P, 13. PIP-P, 14. DIP-P where T-Thumb, I-Index, M-Middle, R-Ring and P-Pinky fingers. ( b ) The first five hand gestures recognized through MediaPipe from mudras and natural grasps dataset is illustrated here. Their corresponding virtual hand model obtained by applying Gaussian function to 14 joint angular velocities is shown below them. Here M – Mudras, VM – Virtual Mudras, N – Natural Grasps, VN – Virtual Natural Grasps. The numbers indicates the corresponding hand gestures in Table . Virtual 3D Hand Model was developed using V-Realm Builder, MATLAB Simulink 3D Animation , Version <t>R2023a</t> .
Simscape Multibody, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/simscape multibody/product/MathWorks Inc
Average 96 stars, based on 1 article reviews
simscape multibody - by Bioz Stars, 2026-05
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96
MathWorks Inc parameter optimization
( a ) Twenty-one hand-knuckle landmarks obtained from MediaPipe hand landmark model, and their corresponding anatomical areas are illustrated on the left side image. Each dot represents the joints, and line represents the Euclidean distance from each joint. Corresponding labels in the illustration are - 1. Wrist, 2. CMC-T, 3. MCP-T, 4. IP-T, 5. TIP-T, 6. MCP-I, 7. PIP-I, 8. DIP-I, 9. TIP-I, 10. MCP-M, 11. PIP-M, 12. DIP-M, 13. TIP-M, 14. MCP-R, 15. PIP-R, 16. DIP-R, 17. TIP-R, 18. MCP-P, 19. PIP-P, 20. DIP-P, 21. TIP-P. The right-side image represents the virtual hand model with 14 joints, labeled as 1. MCP-T, 2. IP-T, 3. MCP-I, 4. PIP-I, 5. DIP-I, 6. MCP-M, 7. PIP-M, 8. DIP-M, 9. MCP-R, 10. PIP-R, 11. DIP-R, 12. MCP-P, 13. PIP-P, 14. DIP-P where T-Thumb, I-Index, M-Middle, R-Ring and P-Pinky fingers. ( b ) The first five hand gestures recognized through MediaPipe from mudras and natural grasps dataset is illustrated here. Their corresponding virtual hand model obtained by applying Gaussian function to 14 joint angular velocities is shown below them. Here M – Mudras, VM – Virtual Mudras, N – Natural Grasps, VN – Virtual Natural Grasps. The numbers indicates the corresponding hand gestures in Table . Virtual 3D Hand Model was developed using V-Realm Builder, MATLAB Simulink 3D Animation , Version <t>R2023a</t> .
Parameter Optimization, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 96 stars, based on 1 article reviews
parameter optimization - by Bioz Stars, 2026-05
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96
MathWorks Inc simulink 281 design optimization toolbox
( a ) Twenty-one hand-knuckle landmarks obtained from MediaPipe hand landmark model, and their corresponding anatomical areas are illustrated on the left side image. Each dot represents the joints, and line represents the Euclidean distance from each joint. Corresponding labels in the illustration are - 1. Wrist, 2. CMC-T, 3. MCP-T, 4. IP-T, 5. TIP-T, 6. MCP-I, 7. PIP-I, 8. DIP-I, 9. TIP-I, 10. MCP-M, 11. PIP-M, 12. DIP-M, 13. TIP-M, 14. MCP-R, 15. PIP-R, 16. DIP-R, 17. TIP-R, 18. MCP-P, 19. PIP-P, 20. DIP-P, 21. TIP-P. The right-side image represents the virtual hand model with 14 joints, labeled as 1. MCP-T, 2. IP-T, 3. MCP-I, 4. PIP-I, 5. DIP-I, 6. MCP-M, 7. PIP-M, 8. DIP-M, 9. MCP-R, 10. PIP-R, 11. DIP-R, 12. MCP-P, 13. PIP-P, 14. DIP-P where T-Thumb, I-Index, M-Middle, R-Ring and P-Pinky fingers. ( b ) The first five hand gestures recognized through MediaPipe from mudras and natural grasps dataset is illustrated here. Their corresponding virtual hand model obtained by applying Gaussian function to 14 joint angular velocities is shown below them. Here M – Mudras, VM – Virtual Mudras, N – Natural Grasps, VN – Virtual Natural Grasps. The numbers indicates the corresponding hand gestures in Table . Virtual 3D Hand Model was developed using V-Realm Builder, MATLAB Simulink 3D Animation , Version <t>R2023a</t> .
Simulink 281 Design Optimization Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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simulink 281 design optimization toolbox - by Bioz Stars, 2026-05
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90
G.Tec Medical Engineering GMBH g.hisys environment
( a ) Twenty-one hand-knuckle landmarks obtained from MediaPipe hand landmark model, and their corresponding anatomical areas are illustrated on the left side image. Each dot represents the joints, and line represents the Euclidean distance from each joint. Corresponding labels in the illustration are - 1. Wrist, 2. CMC-T, 3. MCP-T, 4. IP-T, 5. TIP-T, 6. MCP-I, 7. PIP-I, 8. DIP-I, 9. TIP-I, 10. MCP-M, 11. PIP-M, 12. DIP-M, 13. TIP-M, 14. MCP-R, 15. PIP-R, 16. DIP-R, 17. TIP-R, 18. MCP-P, 19. PIP-P, 20. DIP-P, 21. TIP-P. The right-side image represents the virtual hand model with 14 joints, labeled as 1. MCP-T, 2. IP-T, 3. MCP-I, 4. PIP-I, 5. DIP-I, 6. MCP-M, 7. PIP-M, 8. DIP-M, 9. MCP-R, 10. PIP-R, 11. DIP-R, 12. MCP-P, 13. PIP-P, 14. DIP-P where T-Thumb, I-Index, M-Middle, R-Ring and P-Pinky fingers. ( b ) The first five hand gestures recognized through MediaPipe from mudras and natural grasps dataset is illustrated here. Their corresponding virtual hand model obtained by applying Gaussian function to 14 joint angular velocities is shown below them. Here M – Mudras, VM – Virtual Mudras, N – Natural Grasps, VN – Virtual Natural Grasps. The numbers indicates the corresponding hand gestures in Table . Virtual 3D Hand Model was developed using V-Realm Builder, MATLAB Simulink 3D Animation , Version <t>R2023a</t> .
G.Hisys Environment, supplied by G.Tec Medical Engineering GMBH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/g.hisys environment/product/G.Tec Medical Engineering GMBH
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g.hisys environment - by Bioz Stars, 2026-05
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92
MathWorks Inc matlab simulink version r2021a
( a ) Twenty-one hand-knuckle landmarks obtained from MediaPipe hand landmark model, and their corresponding anatomical areas are illustrated on the left side image. Each dot represents the joints, and line represents the Euclidean distance from each joint. Corresponding labels in the illustration are - 1. Wrist, 2. CMC-T, 3. MCP-T, 4. IP-T, 5. TIP-T, 6. MCP-I, 7. PIP-I, 8. DIP-I, 9. TIP-I, 10. MCP-M, 11. PIP-M, 12. DIP-M, 13. TIP-M, 14. MCP-R, 15. PIP-R, 16. DIP-R, 17. TIP-R, 18. MCP-P, 19. PIP-P, 20. DIP-P, 21. TIP-P. The right-side image represents the virtual hand model with 14 joints, labeled as 1. MCP-T, 2. IP-T, 3. MCP-I, 4. PIP-I, 5. DIP-I, 6. MCP-M, 7. PIP-M, 8. DIP-M, 9. MCP-R, 10. PIP-R, 11. DIP-R, 12. MCP-P, 13. PIP-P, 14. DIP-P where T-Thumb, I-Index, M-Middle, R-Ring and P-Pinky fingers. ( b ) The first five hand gestures recognized through MediaPipe from mudras and natural grasps dataset is illustrated here. Their corresponding virtual hand model obtained by applying Gaussian function to 14 joint angular velocities is shown below them. Here M – Mudras, VM – Virtual Mudras, N – Natural Grasps, VN – Virtual Natural Grasps. The numbers indicates the corresponding hand gestures in Table . Virtual 3D Hand Model was developed using V-Realm Builder, MATLAB Simulink 3D Animation , Version <t>R2023a</t> .
Matlab Simulink Version R2021a, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 92 stars, based on 1 article reviews
matlab simulink version r2021a - by Bioz Stars, 2026-05
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90
Speedgoat GmbH performance real-time target machine
( a ) Twenty-one hand-knuckle landmarks obtained from MediaPipe hand landmark model, and their corresponding anatomical areas are illustrated on the left side image. Each dot represents the joints, and line represents the Euclidean distance from each joint. Corresponding labels in the illustration are - 1. Wrist, 2. CMC-T, 3. MCP-T, 4. IP-T, 5. TIP-T, 6. MCP-I, 7. PIP-I, 8. DIP-I, 9. TIP-I, 10. MCP-M, 11. PIP-M, 12. DIP-M, 13. TIP-M, 14. MCP-R, 15. PIP-R, 16. DIP-R, 17. TIP-R, 18. MCP-P, 19. PIP-P, 20. DIP-P, 21. TIP-P. The right-side image represents the virtual hand model with 14 joints, labeled as 1. MCP-T, 2. IP-T, 3. MCP-I, 4. PIP-I, 5. DIP-I, 6. MCP-M, 7. PIP-M, 8. DIP-M, 9. MCP-R, 10. PIP-R, 11. DIP-R, 12. MCP-P, 13. PIP-P, 14. DIP-P where T-Thumb, I-Index, M-Middle, R-Ring and P-Pinky fingers. ( b ) The first five hand gestures recognized through MediaPipe from mudras and natural grasps dataset is illustrated here. Their corresponding virtual hand model obtained by applying Gaussian function to 14 joint angular velocities is shown below them. Here M – Mudras, VM – Virtual Mudras, N – Natural Grasps, VN – Virtual Natural Grasps. The numbers indicates the corresponding hand gestures in Table . Virtual 3D Hand Model was developed using V-Realm Builder, MATLAB Simulink 3D Animation , Version <t>R2023a</t> .
Performance Real Time Target Machine, supplied by Speedgoat GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
performance real-time target machine - by Bioz Stars, 2026-05
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Image Search Results


( a ) Twenty-one hand-knuckle landmarks obtained from MediaPipe hand landmark model, and their corresponding anatomical areas are illustrated on the left side image. Each dot represents the joints, and line represents the Euclidean distance from each joint. Corresponding labels in the illustration are - 1. Wrist, 2. CMC-T, 3. MCP-T, 4. IP-T, 5. TIP-T, 6. MCP-I, 7. PIP-I, 8. DIP-I, 9. TIP-I, 10. MCP-M, 11. PIP-M, 12. DIP-M, 13. TIP-M, 14. MCP-R, 15. PIP-R, 16. DIP-R, 17. TIP-R, 18. MCP-P, 19. PIP-P, 20. DIP-P, 21. TIP-P. The right-side image represents the virtual hand model with 14 joints, labeled as 1. MCP-T, 2. IP-T, 3. MCP-I, 4. PIP-I, 5. DIP-I, 6. MCP-M, 7. PIP-M, 8. DIP-M, 9. MCP-R, 10. PIP-R, 11. DIP-R, 12. MCP-P, 13. PIP-P, 14. DIP-P where T-Thumb, I-Index, M-Middle, R-Ring and P-Pinky fingers. ( b ) The first five hand gestures recognized through MediaPipe from mudras and natural grasps dataset is illustrated here. Their corresponding virtual hand model obtained by applying Gaussian function to 14 joint angular velocities is shown below them. Here M – Mudras, VM – Virtual Mudras, N – Natural Grasps, VN – Virtual Natural Grasps. The numbers indicates the corresponding hand gestures in Table . Virtual 3D Hand Model was developed using V-Realm Builder, MATLAB Simulink 3D Animation , Version R2023a .

Journal: Scientific Reports

Article Title: Reconstructing hand gestures with synergies extracted from dance movements

doi: 10.1038/s41598-025-25563-7

Figure Lengend Snippet: ( a ) Twenty-one hand-knuckle landmarks obtained from MediaPipe hand landmark model, and their corresponding anatomical areas are illustrated on the left side image. Each dot represents the joints, and line represents the Euclidean distance from each joint. Corresponding labels in the illustration are - 1. Wrist, 2. CMC-T, 3. MCP-T, 4. IP-T, 5. TIP-T, 6. MCP-I, 7. PIP-I, 8. DIP-I, 9. TIP-I, 10. MCP-M, 11. PIP-M, 12. DIP-M, 13. TIP-M, 14. MCP-R, 15. PIP-R, 16. DIP-R, 17. TIP-R, 18. MCP-P, 19. PIP-P, 20. DIP-P, 21. TIP-P. The right-side image represents the virtual hand model with 14 joints, labeled as 1. MCP-T, 2. IP-T, 3. MCP-I, 4. PIP-I, 5. DIP-I, 6. MCP-M, 7. PIP-M, 8. DIP-M, 9. MCP-R, 10. PIP-R, 11. DIP-R, 12. MCP-P, 13. PIP-P, 14. DIP-P where T-Thumb, I-Index, M-Middle, R-Ring and P-Pinky fingers. ( b ) The first five hand gestures recognized through MediaPipe from mudras and natural grasps dataset is illustrated here. Their corresponding virtual hand model obtained by applying Gaussian function to 14 joint angular velocities is shown below them. Here M – Mudras, VM – Virtual Mudras, N – Natural Grasps, VN – Virtual Natural Grasps. The numbers indicates the corresponding hand gestures in Table . Virtual 3D Hand Model was developed using V-Realm Builder, MATLAB Simulink 3D Animation , Version R2023a .

Article Snippet: Virtual 3D Hand Model was developed using V-Realm Builder, MATLAB Simulink 3D Animation , Version R2023a .

Techniques: Labeling

Wrist re-referencing of the hand mudra chatura . (a) Original hand gesture as performed. (b) Re-referenced end mudra of chatura relative to the initial reference posture. (c) Virtual hand representation of chatura using 14 Gaussian profiles to model the joint angular velocities. Here, M - Mudras, VM - Virtual Mudras. The number represents the hand gesture in Table . Virtual 3D Hand Model was developed using V-Realm Builder, MATLAB Simulink 3D Animation , Version R2023a .

Journal: Scientific Reports

Article Title: Reconstructing hand gestures with synergies extracted from dance movements

doi: 10.1038/s41598-025-25563-7

Figure Lengend Snippet: Wrist re-referencing of the hand mudra chatura . (a) Original hand gesture as performed. (b) Re-referenced end mudra of chatura relative to the initial reference posture. (c) Virtual hand representation of chatura using 14 Gaussian profiles to model the joint angular velocities. Here, M - Mudras, VM - Virtual Mudras. The number represents the hand gesture in Table . Virtual 3D Hand Model was developed using V-Realm Builder, MATLAB Simulink 3D Animation , Version R2023a .

Article Snippet: Virtual 3D Hand Model was developed using V-Realm Builder, MATLAB Simulink 3D Animation , Version R2023a .

Techniques:

The first six synergies of mudras (left to right) and first six natural synergies (left to right) are illustrated here. These synergies were extracted by applying dimensionality reduction on the angular velocity matrix of mudras and natural grasps datasets. The joint angular velocity profiles of 14 joints were then mapped to the virtual hand model, enabling a structured representation of the extracted synergies. Virtual 3D Hand Model was developed using V-Realm Builder, MATLAB Simulink 3D Animation , Version R2023a .

Journal: Scientific Reports

Article Title: Reconstructing hand gestures with synergies extracted from dance movements

doi: 10.1038/s41598-025-25563-7

Figure Lengend Snippet: The first six synergies of mudras (left to right) and first six natural synergies (left to right) are illustrated here. These synergies were extracted by applying dimensionality reduction on the angular velocity matrix of mudras and natural grasps datasets. The joint angular velocity profiles of 14 joints were then mapped to the virtual hand model, enabling a structured representation of the extracted synergies. Virtual 3D Hand Model was developed using V-Realm Builder, MATLAB Simulink 3D Animation , Version R2023a .

Article Snippet: Virtual 3D Hand Model was developed using V-Realm Builder, MATLAB Simulink 3D Animation , Version R2023a .

Techniques:

The projection of joint angular velocities for the end posture of various hand gestures on to the first three principal components in illustrated here. The first row depicts the projections of Chandrakala and Mrugasheersha from the Mudras. Similarly, the second row presents the projections of Index Finger Extension and Ring gestures from the natural grasps. Moreover, these figures visualize signal strength, indicating the extent of flexion required to achieve each posture — yellow represents maximum strength, while navy blue denotes zero strength. Virtual 3D Hand Model was developed using V-Realm Builder, MATLAB Simulink 3D Animation , Version R2023a .

Journal: Scientific Reports

Article Title: Reconstructing hand gestures with synergies extracted from dance movements

doi: 10.1038/s41598-025-25563-7

Figure Lengend Snippet: The projection of joint angular velocities for the end posture of various hand gestures on to the first three principal components in illustrated here. The first row depicts the projections of Chandrakala and Mrugasheersha from the Mudras. Similarly, the second row presents the projections of Index Finger Extension and Ring gestures from the natural grasps. Moreover, these figures visualize signal strength, indicating the extent of flexion required to achieve each posture — yellow represents maximum strength, while navy blue denotes zero strength. Virtual 3D Hand Model was developed using V-Realm Builder, MATLAB Simulink 3D Animation , Version R2023a .

Article Snippet: Virtual 3D Hand Model was developed using V-Realm Builder, MATLAB Simulink 3D Animation , Version R2023a .

Techniques:

Fifteen ASL hand gestures represented on the virtual hand model (leftmost column of each set) is illustrated here. Reconstructions using synergies of mudras are shown in blue (middle), while reconstructions using natural synergies are displayed on the right. Virtual 3D Hand Model was developed using V-Realm Builder, MATLAB Simulink 3D Animation , Version R2023a .

Journal: Scientific Reports

Article Title: Reconstructing hand gestures with synergies extracted from dance movements

doi: 10.1038/s41598-025-25563-7

Figure Lengend Snippet: Fifteen ASL hand gestures represented on the virtual hand model (leftmost column of each set) is illustrated here. Reconstructions using synergies of mudras are shown in blue (middle), while reconstructions using natural synergies are displayed on the right. Virtual 3D Hand Model was developed using V-Realm Builder, MATLAB Simulink 3D Animation , Version R2023a .

Article Snippet: Virtual 3D Hand Model was developed using V-Realm Builder, MATLAB Simulink 3D Animation , Version R2023a .

Techniques:

The reconstructed end postures of three randomly selected hand gestures from each dataset, mapped to Mitra, are illustrated here. The first row showcases the reconstruction of X, Kartari Mukha, and Medium Wrap of ASL, mudras, and natural grasps dataset. In contrast, the second row represents the same hand gestures using natural synergies. Here, VM represents virtual mudras, VN represents virtual natural grasp. Virtual 3D Hand Model was developed using V-Realm Builder, MATLAB Simulink 3D Animation , Version R2023a .

Journal: Scientific Reports

Article Title: Reconstructing hand gestures with synergies extracted from dance movements

doi: 10.1038/s41598-025-25563-7

Figure Lengend Snippet: The reconstructed end postures of three randomly selected hand gestures from each dataset, mapped to Mitra, are illustrated here. The first row showcases the reconstruction of X, Kartari Mukha, and Medium Wrap of ASL, mudras, and natural grasps dataset. In contrast, the second row represents the same hand gestures using natural synergies. Here, VM represents virtual mudras, VN represents virtual natural grasp. Virtual 3D Hand Model was developed using V-Realm Builder, MATLAB Simulink 3D Animation , Version R2023a .

Article Snippet: Virtual 3D Hand Model was developed using V-Realm Builder, MATLAB Simulink 3D Animation , Version R2023a .

Techniques: