Literature DB >> 31862595

A review on the ability of smartphones to detect ultraviolet (UV) radiation and their potential to be used in UV research and for public education purposes.

Joanna Turner1, Damien Igoe2, Alfio V Parisi2, Andrew J McGonigle3, Abdurazaq Amar2, Lisa Wainwright2.   

Abstract

The effects of ultraviolet (UV) radiation on life on Earth have continuously been the subject of research. Over-exposure to UV radiation is harmful, but small amounts of exposure are required for good health. It is, therefore, crucial for humans to optimise their own UV exposure and not exceed UV levels that are sufficient for essential biological functions. Exceeding those levels may increase risk of developing health problems including skin cancer and cataracts. Smartphones have been previously investigated for their ability to detect UV radiation with or without additional devices that monitor personal UV exposure, in order to maintain safe exposure times by individuals. This review presents a comprehensive overview of the current state of smartphones' use in UV radiation monitoring and prediction. There are four main methods for UV radiation detection or prediction involving the use smartphones, depending on the requirements of the user: devoted software applications developed for smartphones to predict UV Index (UVI), wearable and non-wearable devices that can be used with smartphones to provide real-time UVI, and the use of smartphone image sensors to detect UV radiation. The latter method has been a growing area of research over the last decade. Built-in smartphone image sensors have been investigated for UV radiation detection and the quantification of related atmospheric factors (including aerosols, ozone, clouds and volcanic plumes). The overall practicalities, limitations and challenges are reviewed, specifically in regard to public education. The ubiquitous nature of smartphones can provide an interactive tool when considering public education on the effects and individual monitoring of UV radiation exposure, although social and geographic areas with low socio-economic factors could challenge the usefulness of smartphones. Overall, the review shows that smartphones provide multiple opportunities in different forms to educate users on personal health with respect to UV radiation.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  CMOS; Sensor; Smartphone; UV irradiance; UV radiation; UVA; UVB; Ultraviolet

Year:  2019        PMID: 31862595     DOI: 10.1016/j.scitotenv.2019.135873

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  5 in total

Review 1.  UVC-based photoinactivation as an efficient tool to control the transmission of coronaviruses.

Authors:  Sanjeev K Bhardwaj; Harpreet Singh; Akash Deep; Madhu Khatri; Jayeeta Bhaumik; Ki-Hyun Kim; Neha Bhardwaj
Journal:  Sci Total Environ       Date:  2021-06-16       Impact factor: 7.963

Review 2.  Application of Image Sensors to Detect and Locate Electrical Discharges: A Review.

Authors:  Jordi-Roger Riba
Journal:  Sensors (Basel)       Date:  2022-08-06       Impact factor: 3.847

3.  Experimental Study of Visual Corona under Aeronautic Pressure Conditions Using Low-Cost Imaging Sensors.

Authors:  Jordi-Roger Riba; Álvaro Gómez-Pau; Manuel Moreno-Eguilaz
Journal:  Sensors (Basel)       Date:  2020-01-11       Impact factor: 3.576

4.  Performance Evaluation of Solar-Blind Gas-Filled Sensors to Detect Electrical Discharges for Low-Pressure Aircraft Applications.

Authors:  Jordi-Roger Riba; Manuel Moreno-Eguilaz; Maxence Boizieau; Tamerlan Ibrayemov
Journal:  Sensors (Basel)       Date:  2022-01-10       Impact factor: 3.576

5.  Measurement of Corona Discharges under Variable Geometry, Frequency and Pressure Environment.

Authors:  Pau Bas-Calopa; Jordi-Roger Riba; Manuel Moreno-Eguilaz
Journal:  Sensors (Basel)       Date:  2022-02-26       Impact factor: 3.576

  5 in total

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