Academic Journal
Automatic control technology of mechanical equipment based on microelectronic sensing signal control.
| Τίτλος: | Automatic control technology of mechanical equipment based on microelectronic sensing signal control. |
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| Συγγραφείς: | Yang, Yongjie |
| Πηγή: | International Journal of Modern Physics C: Computational Physics & Physical Computation; Aug2025, Vol. 36 Issue 8, p1-20, 20p |
| Θεματικοί όροι: | Finger joint, Databases, Texture mapping, Motion capture (Human mechanics), Electronic data processing |
| Περίληψη: | The purpose of the research is to implement a master-slave control system for hand virtual-real interaction, which can capture the position, direction and finger joint angle of the user's hand in real-time. After being analyzed, the original mot analyzed goes through limiting and removing joggle procedures, integrating the complementary filter algorithm and obtaining a drive database based on the Kalman filter algorithm. The data is used to drive the virtual hand to interact with the virtual environment, with the Roll, Pitch and Yaw being ± 0.1∘, ± 0.15∘, ± 0.15∘, respectively. These data prove that the data processing algorithm is compatible with the system hardware platform regarding accuracy and noise reduction. In the process of building the virtual model, under the premise of satisfying a certain number of meshes, the texture mapping of the hand model not only satisfies the fidelity of the virtual hand model but also makes the model less complex and interactive. This helped solve the fragile joint connection problem when the finger was bent. In the subsequent interaction experiment, the system was tested with static gestures and dynamic grasping, and the experimental data and interaction effect showed that the system had good interactivity and stability. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Modern Physics C: Computational Physics & Physical Computation is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edb DbLabel: Complementary Index An: 184726793 RelevancyScore: 1007 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1007.33666992188 |
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| Items | – Name: Title Label: Title Group: Ti Data: Automatic control technology of mechanical equipment based on microelectronic sensing signal control. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yang%2C+Yongjie%22">Yang, Yongjie</searchLink> – Name: TitleSource Label: Source Group: Src Data: International Journal of Modern Physics C: Computational Physics & Physical Computation; Aug2025, Vol. 36 Issue 8, p1-20, 20p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Finger+joint%22">Finger joint</searchLink><br /><searchLink fieldCode="DE" term="%22Databases%22">Databases</searchLink><br /><searchLink fieldCode="DE" term="%22Texture+mapping%22">Texture mapping</searchLink><br /><searchLink fieldCode="DE" term="%22Motion+capture+%28Human+mechanics%29%22">Motion capture (Human mechanics)</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+data+processing%22">Electronic data processing</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The purpose of the research is to implement a master-slave control system for hand virtual-real interaction, which can capture the position, direction and finger joint angle of the user's hand in real-time. After being analyzed, the original mot analyzed goes through limiting and removing joggle procedures, integrating the complementary filter algorithm and obtaining a drive database based on the Kalman filter algorithm. The data is used to drive the virtual hand to interact with the virtual environment, with the Roll, Pitch and Yaw being ± 0.1<superscript>∘</superscript>, ± 0.15<superscript>∘</superscript>, ± 0.15<superscript>∘</superscript>, respectively. These data prove that the data processing algorithm is compatible with the system hardware platform regarding accuracy and noise reduction. In the process of building the virtual model, under the premise of satisfying a certain number of meshes, the texture mapping of the hand model not only satisfies the fidelity of the virtual hand model but also makes the model less complex and interactive. This helped solve the fragile joint connection problem when the finger was bent. In the subsequent interaction experiment, the system was tested with static gestures and dynamic grasping, and the experimental data and interaction effect showed that the system had good interactivity and stability. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of International Journal of Modern Physics C: Computational Physics & Physical Computation is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1142/S0129183124410079 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 1 Subjects: – SubjectFull: Finger joint Type: general – SubjectFull: Databases Type: general – SubjectFull: Texture mapping Type: general – SubjectFull: Motion capture (Human mechanics) Type: general – SubjectFull: Electronic data processing Type: general Titles: – TitleFull: Automatic control technology of mechanical equipment based on microelectronic sensing signal control. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yang, Yongjie IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 01291831 Numbering: – Type: volume Value: 36 – Type: issue Value: 8 Titles: – TitleFull: International Journal of Modern Physics C: Computational Physics & Physical Computation Type: main |
| ResultId | 1 |