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Quantitative Investigation of Hand Grasp Functionality: Hand Joint Motion Correlation, Independence, and Grasping
Yuan Liu1, Bo Zeng2, Ting Zhang3
1Tianjin University, Academy of Medical Engineering and Translational Medicine (AMT), Tianjin, China.
Applied Bionics and Biomechanics
|December 13, 2021
Summary
This study introduces tolerance grasping, a new model for understanding human hand grasp functionality by analyzing object shape, size, and position. Tolerance grasping offers a more comprehensive and quantitative approach for applications in prosthetics and robotics.
Area of Science:
- Biomechanics
- Robotics
- Neuroscience
Background:
- Human grasp functionality is crucial for prosthetics, robotics, medicine, and rehabilitation.
- Current models lack a comprehensive, quantitative understanding of grasp functionality.
- Key factors influencing grasping include object shape, size, and relative position.
Purpose of the Study:
- To present a novel 'tolerance grasping' model for a more comprehensive understanding of human grasp functionality.
- To analyze hand grasp characteristics including joint angle distribution, correlation, independence, and postural synergies.
- To explore the potential for understanding the neuromuscular control mechanism of human grasping.
Main Methods:
- Simultaneously considered relative position, object shape, and size in grasping analysis.
- Analyzed joint angle distribution and variance using Principal Component (PC) analysis.
- Identified and analyzed postural synergies across 10 subjects using ANOVA.
- Performed independence analysis of grasping results.
Main Results:
- Tolerance grasping provides a more comprehensive representation of hand grasp functionality.
- Four key postural synergies were identified, explaining 93% ± 1.5% of the variance.
- No significant individual differences were found in the first four postural synergies.
- Tolerance grasping results correlate highly with natural grasping and cortical finger representation.
Conclusions:
- Tolerance grasping offers a more representative and comprehensive understanding of human grasp functionality.
- The identified synergies and correlations provide insights into neuromuscular control mechanisms.
- This model has significant potential for advancing prosthetics, robotics, and rehabilitation.
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