Inconsistency Calibrating Algorithms for Large Scale Piezoresistive Electronic Skin
| Autor: | Haibin Wu, Shuheng Huang, Zhengkang Lin, Jinyan You, Jinhua Ye |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Computer science
lcsh:Mechanical engineering and machinery Electronic skin 02 engineering and technology 01 natural sciences inconsistency Article Calibration lcsh:TJ1-1570 Electrical and Electronic Engineering Cluster analysis piezoresistive Artificial neural network Mechanical Engineering 010401 analytical chemistry electronic skin 021001 nanoscience & nanotechnology calibration Piezoresistive effect 0104 chemical sciences Hierarchical clustering Control and Systems Engineering Fuse (electrical) large scale 0210 nano-technology Algorithm Tactile sensor |
| Zdroj: | Micromachines Volume 11 Issue 2 Micromachines, Vol 11, Iss 2, p 162 (2020) |
| ISSN: | 2072-666X |
| Popis: | In the field of safety and communication of human-robot interaction (HRI), using large-scale electronic skin will be the tendency in the future. The force-sensitive piezoresistive material is the key for piezoresistive electronic skin. In this paper, a non-array large scale piezoresistive tactile sensor and its corresponding calibration methods were presented. Because of the creep inconsistency of large scale piezoresistive material, a creep tracking compensation method based on K-means clustering and fuzzy pattern recognition was proposed to improve the detection accuracy. With the compensated data, the inconsistency and nonlinearity of the sensor was calibrated. The calibration process was divided into two parts. The hierarchical clustering algorithm was utilized firstly to classify and fuse piezoresistive property of different regions over the whole sensor. Then, combining the position information, the force detection model was constructed by Back-Propagation (BP) neural network. At last, a novel flexible tactile sensor for detecting contact position and force was designed as an example and tested after being calibrated. The experimental results showed that the calibration methods proposed were effective in detecting force, and the detection accuracy was improved. |
| Databáze: | OpenAIRE |
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