Your browser doesn't support javascript.
loading
A study on the estimation of area of origin of swing cast-off pattern.
Lee, Sang-Yoon; Lim, Hwa-Seon; Yie, Ho-Yong; Rhee, Ki-Jong; Kim, Sung-Min; Seo, Young-Il.
Affiliation
  • Lee SY; Department of Forensic Sciences, Yonsei University, Wonju, Republic of Korea.
  • Lim HS; Department of Forensic Sciences, Yonsei University, Wonju, Republic of Korea.
  • Yie HY; Safety Division, National Forensic Service, Wonju, Republic of Korea.
  • Rhee KJ; Department of Forensic Sciences, Yonsei University, Wonju, Republic of Korea.
  • Kim SM; Gangwon Provincial Police, Chuncheon, Republic of Korea.
  • Seo YI; Safety Division, National Forensic Service, Wonju, Republic of Korea.
J Forensic Sci ; 69(3): 1069-1074, 2024 May.
Article in En | MEDLINE | ID: mdl-38505991
ABSTRACT
In bloodstain pattern analysis (BPA), a field of forensic science, there has been active discussion on the estimation of the area of origin of impact spatter. However, there is no established methodology to quantitatively analyze the area of origin of a swing cast-off pattern. To quantitatively analyze the methodology of previous research on estimation of area of origin, a device for generating uniform swing cast-off patterns was produced. Using artificial blood, 10 swing cast-off patterns were generated on porous paper; in each, 10 blood drops were selected for the calculation of the impact angle. Hemospat software was used for individual bloodstain analysis, and an open source code was used for estimation of area of origin. Under the same conditions, an additional 10 swing cast-off patterns were generated, and quantitative analysis was performed using trigonometric functions and an adjustment formula that minimized errors in calculating the impact angle. The adjustment formula was corrected to calculate the impact angle for the bloodstains on the porous surface. As uncertainty decreases, the error increases, and the point at which both uncertainty and error can be minimized is calculated as 75%. The existing formula included the trajectory in the estimated likelihood range in 75% of samples. When the adjustment formula was applied, the accuracy was improved, with the trajectory included in the area with a 90% likelihood.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Forensic Sci Year: 2024 Document type: Article Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Forensic Sci Year: 2024 Document type: Article Country of publication: United States