Publication Type:

Conference Paper

Source:

2018 8th International Symposium on Embedded Computing and System Design (ISED), IEEE, Cochin, India, India (2018)

URL:

https://ieeexplore.ieee.org/abstract/document/8704102

Keywords:

Biosensors, calibration, Color, colori-metric, computational modeling, Cross validation, cubic-spline regression model, Health care, image colour analysis, image sensors, LED, light emitting diodes, light-intensity sensor, low-cost universal color sensor, medical tests, Optical sensors, proffered system, reflective color sensing, Regression analysis, Regression Models, RGB, Robot sensing systems, Rural healthcare, Solid modeling, splines (mathematics)

Abstract:

Medical tests such as urinalysis, and other colori-metric assays require the measurement of changes in color. For such applications, this paper presents an innovative, low-cost color sensor, based on reflective color sensing. The proffered system is constituted of a light-intensity sensor and an RGB (red, green, blue) LED, placed on strategic geometries. Various regression models for calibration of the color sensor were investigated. Using cross validation with a training set of 160 colors, a cubic-spline regression model was selected. The accuracy and robustness of the novel sensor are also discussed.

Cite this Research Publication

H. Venugopal, Jayakumar, A., Gutjahr, G., Nair, G. J., and Prof. Prema Nedungadi, “Design of a Low-cost Universal Color Sensor to Support Rural Healthcare”, in 2018 8th International Symposium on Embedded Computing and System Design (ISED), Cochin, India, India, 2018.