Soft and flexible sensor array using carbon black pillars for object recognition via pressure mapping
| Autor: | Kartik Yellapantula, Kean C. Aw, Cheng-Yao Lo, Mahtab Assadian, Harish Devaraj, W. C. Gan, Logan Stuart |
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| Rok vydání: | 2020 |
| Předmět: |
Pressure mapping
Computer science Applied Mathematics Acoustics 020208 electrical & electronic engineering 010401 analytical chemistry Cognitive neuroscience of visual object recognition Wearable computer 02 engineering and technology Carbon black Condensed Matter Physics Object (computer science) 01 natural sciences Pressure sensor 0104 chemical sciences Planar Sensor array 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Instrumentation |
| Zdroj: | Measurement. 159:107781 |
| ISSN: | 0263-2241 |
| DOI: | 10.1016/j.measurement.2020.107781 |
| Popis: | Soft and flexible arrays of pressure or force sensors are particularly useful for wearable and robotic applications. This article presents a soft and flexible sensor array made from carbon black composite pillars. These pillars allows more sensing elements to be constructed in a given planar area. A prototype sensor consisting of a 3 × 3 array of carbon black composite pillars is used to demonstrate their potential. Each pillar shows a reliable corresponding change in resistance with instantaneous pressure or force applied on it. With a sensor array, the pressure distribution across the contact surface of the sensor can be represented as a pressure map allowing the recognition of the shape of an object applying the pressure on the sensor array. The soft and flexible nature of the sensor array allows it to be easily deployed and enables prediction of the shape of an object through the 3D pressure map. |
| Databáze: | OpenAIRE |
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