Abstract
High-density tactile sensor arrays play a key role in intelligent prosthetics and robotic perception. To address signal crosstalk bottlenecks, this study presents a comprehensive acquisition system optimization. We rigorously evaluated two Zero-Potential Method (ZPM) topologies: the Digital Buffer-based and the Op-Amp-based architectures. Theoretical analysis and simulations reveal that the Digital Buffer approach suffers from significant voltage attenuation due to the on-resistance of analog switches, particularly in low-resistance regions. In contrast, the Op-Amp-based design effectively isolates this parasitic effect, reducing the overall measurement error by 80.58%. Validated on a flexible Carbon Nanotube (CNT) sensor array, this optimized circuitry achieves a remarkably low average error of 1.08%, ensuring precise real-time pressure mapping for tactile sensing applications. © 2026 IEEE.
| Original language | English |
|---|---|
| Title of host publication | 2026 5th International Symposium on Computer Applications and Information Technology (ISCAIT) |
| Publisher | IEEE |
| Pages | 1624-1628 |
| Number of pages | 5 |
| ISBN (Electronic) | 9798331580995 |
| ISBN (Print) | 9798331581008 |
| DOIs | |
| Publication status | Published - 2026 |
| Event | 5th International Symposium on Computer Applications and Information Technology (ISCAIT 2026) - Dongguan, China Duration: 23 Jan 2026 → 25 Jan 2026 https://iscait.org/hsitory2026 |
Publication series
| Name | International Symposium on Computer Applications and Information Technology, ISCAIT |
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Conference
| Conference | 5th International Symposium on Computer Applications and Information Technology (ISCAIT 2026) |
|---|---|
| Place | China |
| City | Dongguan |
| Period | 23/01/26 → 25/01/26 |
| Internet address |
Funding
This research was supported by the following funding, National Key Research and Development Program of China (2022YFB3805804).
Research Keywords
- crosstalk resistant
- flexible sensing array
- signal processing
- tactile glove
- zero potential method
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