Discrimination of human and animal bloodstains using hyperspectral imaging
Documentation of the data | Resource Type: Text, Image, Dataset: Master Thesis, Journal publication, Measurements Methods: Hyperspectral imaging and chemometric methods Data Acquisition: Spectral imaging Data Processing: A support vector machine (SVM) binary classifier was trained for the discrimination of bloodstains of human (n = 20) and five animal species: pig (n = 20), mouse (n = 16), rat (n = 5), rabbit (n = 5), and cow (n = 20). On an independent test set, the SVM model achieved accuracy, precision, sensitivity, and specificity values of 96, 97, 95, and 96%, respectively. Segmented images of bloodstains aged over a period of two months were produced, allowing for the clear visualisation of the discrimination of human and animal bloodstains. | |
Countries to which the data refer | GERMANY | |
Description of the data | Data and methods are described in detail in the attached documents and in https://doi.org/10.1007/s12024-023-00689-0. Spectral measurements performed by G. S. Cooney (2020-2021) | |
Type of the data | Software | |
Type of the data | Image | |
Type of the data | Dataset | |
Type of the data | Text | |
Total size of the dataset | 31545322756 | |
Author | Babian, Carsten | |
Author | Cooney, Gary Sean | |
Author | Chalopin, Claire | |
Author | Köhler, Hannes | |
Upload date | 2024-04-26T05:54:08Z | |
Publication date | 2024-04-26T05:54:08Z | |
Publication date | 2026-06-12T12:43:09Z | |
Data of data creation | 2020-2021 | |
Publication date | 2024-04-26 | |
Abstract of the dataset | To address the question of blood origin, the novel application of visible-near infrared hyperspectral imaging (HSI) is used for the detection and discrimination of human and animal bloodstains. The HSI system used is a portable, non-contact, non-destructive method for the determination of blood origin. A support vector machine (SVM) binary classifier was trained for the discrimination of bloodstains of human (n = 20) and five animal species: pig (n = 20), mouse (n = 16), rat (n = 5), rabbit (n = 5), and cow (n = 20). | |
Public reference to this page | https://opara.zih.tu-dresden.de/handle/123456789/2726 | |
Public reference to this page | https://doi.org/10.25532/OPARA-298 | |
dc.language | eng | |
Publisher | Universität Leipzig | |
Licence | Attribution 4.0 International | |
URI of the licence text | http://creativecommons.org/licenses/by/4.0/ | |
Specification of the discipline(s) | 3::31 | |
Specification of the discipline(s) | 2::22 | |
Specification of the discipline(s) | 4 | |
Title of the dataset | Discrimination of human and animal bloodstains using hyperspectral imaging | |
dc.title.alternative | Specim IQ (Specim, Spectral Imaging Ltd., Oulu, Finland) | |
Research instruments | Specim IQ ® (Specim, Spectral Imaging Ltd., Oulu, Finland) | |
Underlying research object | human and animal blood | |
Project abstract | Blood is the most encountered type of biological evidence in violent crimes and contains pertinent information to a forensic investigation. The false presumption that blood encountered at a crime scene is human may not be realised until after costly and sample-consuming tests are performed. To address the question of blood origin, the novel application of visible-near infrared hyperspectral imaging (HSI) is used for the detection and discrimination of human and animal bloodstains. The HSI system used is a portable, non-contact, non-destructive method for the determination of blood origin. A support vector machine (SVM) binary classifier was trained for the discrimination of bloodstains of human (n = 20) and five animal species: pig (n = 20), mouse (n = 16), rat (n = 5), rabbit (n = 5), and cow (n = 20). On an independent test set, the SVM model achieved accuracy, precision, sensitivity, and specificity values of 96, 97, 95, and 96%, respectively. Segmented images of bloodstains aged over a period of two months were produced, allowing for the clear visualisation of the discrimination of human and animal bloodstains. The inclusion of such a system in a forensic investigation workflow not only removes ambiguity surrounding blood origin, but can potentially be used in tandem with HSI bloodstain age determination methods for rapid on-scene forensic analysis. | |
Project title | Discrimination of human and animal bloodstains using hyperspectral imaging |
Files
Original bundle
- Name:
- Cooney_et_al._-_2023_-_Discrimination_of_human_and_animal_bloodstains_usi.pdf
- Size:
- 1.29 MB
- Format:
- Adobe Portable Document Format
- Description:
- Journal publication
- Name:
- cooney_masterthesis_20210105_final.pdf
- Size:
- 3.11 MB
- Format:
- Adobe Portable Document Format
- Description:
- Master Thesis
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