This poster was presented at the 106th International Association for Identification
A Data-Driven Approach to Model the Generation Process of Bloodstain Patterns
Conference/Workshop:
International Association for Identification (IAI) Annual Educational Conference
International Association for Identification (IAI) Annual Educational Conference
Published: 2022
Primary Author: Tong Zou
Secondary Authors: Hal Stern
Type: Poster
Research Area: Bloodstain
Related Resources
Towards a likelihood ratio approach for bloodstain pattern analysis
In this work, we explore the application of likelihood ratio as a forensic evidence assessment tool to evaluate the causal mechanism of a bloodstain pattern. It is assumed that there…
Authors' Response to Commentary on: Liu Y, Attinger D, De Brabanter K. Automatic classification of bloodstain patterns caused by gunshot and blunt impact at various distances
The Commentary by A. Keten makes the case for considering evaporation and coagulation in research and applications of the forensic discipline of bloodstain pattern analysis (BPA). The author also mentions…
A Novel, Data-Driven Approach to the Classification of Bloodstain Patterns
Bloodstain pattern analysis is the study of bloodstains at a crime scene with the purpose of drawing inference about the crime. A typical objective for bloodstain pattern analysis is to…
Using the Likelihood Ratio in Bloodstain Pattern Analysis
There is an apparent paradox that the likelihood ratio (LR) approach is an appropriate measure of the weight of evidence when forensic findings have to be evaluated in court, while…