Comparison and Correction of the Light Sensor Output from 48 Wearable Light Exposure Devices by Using a Side-by-Side Field Calibration Method

Markvart, Jakob; Hansen, Åse Marie; Christoffersen, Jens

doi:10.1080/15502724.2015.1020948

Cited by 33 publications

(34 citation statements)

References 17 publications

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“…9). These results are similar to the 57% maximum error reported for an RGB photosensor [7], and much better than the 152% error stated for three-color sensors equipped device [11]. The proposed method equals or supersedes previously reported research using less complex (and cheaper) sensors.…”

Section: Results On Directional Correctionsupporting

confidence: 87%

“…In terms of brightness, the measurement error is less than 2%, which also represents a clear enhancement over the one photodiode arrangement and also over the results in [7,11]. …”

Section: Results On Directional Correctionmentioning

confidence: 66%

“…This allows low-cost distributed systems with numerous points of light measurements in many applications. Similar solutions have been reported for the calibration of wearable light exposure devices [7,11] where only one spot of light is needed and more sophisticated light sensors are used.…”

Section: Introductionmentioning

confidence: 81%

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Low cost multimedia sensor networks for obtaining lighting maps

Luque

Peralta

Lama

et al. 2017

Multimed Tools Appl

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In many applications, video streams, images, audio streams and scalar data are commonly used. In these fields, one of the most important magnitudes to be collected and controlled is the light intensity in different spots. So, it is extremely important to be able to deploy a network of light sensors which are usually integrated in a more general Wireless Multimedia Sensor Network (WMSN). Light control systems have increasing applications in many places like streets, roads, buildings, theaters, etc. In these situations having a dense grid of sensing spots significantly enhances measuring precision and control performance. When a great number of measuring spots are required, the cost of the sensor becomes a very important concern. In this paper the use of very low cost light sensors is proposed and it is shown how to overcome its limited performance by directionally correcting its results. A correction factor is derived for several lighting conditions. The proposed method is firstly applied to measure light in a single spot. Additionally a prototype of a sensor network is employed to draw the lighting map of a surface. Finally the sensor grid is employed to estimate the position and power of a set of light sources in a certain region of interest (street, building, …). These three applications have shown that using low cost sensors instead of luxmeters is a feasible approach to estimate illuminance levels in a room and to derive light sources maps. The obtained error measuring spots illuminance or estimating lamp emittances are quite acceptable in many practical applications.

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Section: Results On Directional Correctionsupporting

confidence: 87%

“…In terms of brightness, the measurement error is less than 2%, which also represents a clear enhancement over the one photodiode arrangement and also over the results in [7,11]. …”

Section: Results On Directional Correctionmentioning

confidence: 66%

See 1 more Smart Citation

Low cost multimedia sensor networks for obtaining lighting maps

Luque

Peralta

Lama

et al. 2017

Multimed Tools Appl

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“…And for the indirect lights areas the errors are below 10 %. These results are similar to the 57 % maximum error reported for an RGB photosensor [10], and much better results than the 152 % error stated for a threecolor sensors equipped device [24]. The proposed method equals or supersedes previously reported research while using less complex (and cheaper) sensors.…”

supporting

confidence: 87%

“…This paper describes the process and provides the necessary correction values for different lighting conditions. Similar solutions have been reported for calibration of wearable light exposure devices [10,24] where only one light spot is needed and more sophisticated light sensors are used.…”

Section: Introductionmentioning

confidence: 80%

Distributed lightning monitoring: an affordable proposal

Luque

Aguayo

Lama

2016

Multimed Tools Appl

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In theaters and the filmmaking industry, video streams, images, audio streams and scalar data are commonly used. In these fields, one of the most important magnitudes to be collected and controlled is the light intensity in different scene spots. So, it is extremely important to be able to deploy a network of light sensors which are usually integrated in a more general Wireless Multimedia Sensor Network (WMSN). If many light measurements have to be acquired, the simpler and cheaper the sensor, the more affordable the WMSN will be. In this paper we propose the use of a set of very cheap light sensors (photodiodes) and to spectrally and directionally correct their measurements using mathematical methods. A real testing of the proposed solution has been accomplished, obtaining quite accurate light measurements. Testing results are also presented throughout the paper.

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