Smart Forensic Phone: Colorimetric analysis of a bloodstain for age estimation using a smartphone

Joonchul Shin, Seoyeon Choi, Jung Sik Yang, Jaewoo Song, Jong Soon Choi, Hyo Il Jung

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

Estimating the age of a bloodstain is important for tracking down the true perpetrator of a crime from among the suspects. The current methods available for this estimation suffer from several shortcomings, including the time required and low accuracy. A mobile detection system, named Smart Forensic Phone, developed in this study enabled us to rapidly and precisely estimate the age of a bloodstain. We placed blood on five different materials (wallpaper, fabric, glass, wood, and A4 paper), monitored the RGB (Red, Green, and Blue) values per pixel of the bloodstain picture at 6-h intervals, and estimated the approximate age of the bloodstain using a smartphone application. The RGB values were converted into the V value of HSV (hue, saturation, and brightness). A rapid decline in RGB and V values was observed over the first 42 h and thereafter remained relatively unchanged. The age of the bloodstain could be calculated from the plot of V vs. time. This method enables the estimation of the age of the bloodstain if it is less than 42 h old. We will be continuing to work toward optimizing the method, so that the age of the bloodstain older than 42 h can be determined using the Smart Forensic Phone. Our detection system offers a novel method to both criminal investigators and researchers for predicting the time elapsed after the victim's death, which is also called postmortem interval (PMI) or the approximate time when the crime was committed.

Original languageEnglish
Pages (from-to)221-225
Number of pages5
JournalSensors and Actuators, B: Chemical
Volume243
DOIs
Publication statusPublished - 2017 May 1

Fingerprint

Colorimetric analysis
Crime
Smartphones
crime
Luminance
Wood
Blood
Pixels
intervals
Glass
death
blood
brightness
estimating
plots
pixels
saturation
glass
estimates

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Condensed Matter Physics
  • Surfaces, Coatings and Films
  • Metals and Alloys
  • Electrical and Electronic Engineering
  • Materials Chemistry

Cite this

Shin, Joonchul ; Choi, Seoyeon ; Yang, Jung Sik ; Song, Jaewoo ; Choi, Jong Soon ; Jung, Hyo Il. / Smart Forensic Phone : Colorimetric analysis of a bloodstain for age estimation using a smartphone. In: Sensors and Actuators, B: Chemical. 2017 ; Vol. 243. pp. 221-225.
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Smart Forensic Phone : Colorimetric analysis of a bloodstain for age estimation using a smartphone. / Shin, Joonchul; Choi, Seoyeon; Yang, Jung Sik; Song, Jaewoo; Choi, Jong Soon; Jung, Hyo Il.

In: Sensors and Actuators, B: Chemical, Vol. 243, 01.05.2017, p. 221-225.

Research output: Contribution to journalArticle

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