0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessTo ensure the performance of the dexterous manipulation, this paper presents the design of a mechanical-sensor integrated finger for prosthetic hand. The grab force and the contact position between the object and the prosthetic hand's finger can be captured by the designed finger. First, the mechanism design and analysis of the measurement theory are described in detail. Then, we introduce the measurement circuit and analyze the measurement error. Based on the analysis of the measurement theory and measurement error, the method of least-square is employed to calibrate the output of the designed finger. Prosthetic hand grasping is also conducted to verify the validity of the designed finger. The experimental result shows that the root-mean-square(RMS) of the force measurement error is 0.18N, and the RMS of the contact position measurement error is 0.91mm.
Changcheng Wu, Fei Fei, Mingyang Xie, Qingqing Cao, Dehua Yang, Hong Zeng, Baoguo Xu, Aiguo Song (2018). Mechanical-Sensor Integrated Finger for Prosthetic Hand. , DOI: https://doi.org/10.1109/robio.2018.8664910.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2018
Authors
8
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1109/robio.2018.8664910
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access