Publication Type : Conference Paper
Thematic Areas : Learning-Technologies
Publisher : 2018 8th International Symposium on Embedded Computing and System Design (ISED), IEEE, Cochin, India.
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).
Campus : Amritapuri
School : School of Engineering
Center : Amrita Center For Research in Analytics, AmritaCREATE
Department : Computer Science
Year : 2018
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.