T4.3.4 - Machine Learning-Enhanced Odor Detection System as Next-Generation Forensic Technology
In this work, we present an innovative scent-based detection system able to rapidly detect and correctly classify unique odor signatures released by biological materials from deceased humans as a revolutionizing form of forensic evidence.Our device, equipped with 32 metal oxide semiconductor (MOS) chemiresistive sensor elements and integrated with machine learning algorithms, was applied to different scenarios, demonstrating the potential of its application in forensic investigations.
Authors
- Rolf Stenberg (ORCID: https://orcid.org/0000-0001-9012-2754)
- Jens Eriksson (ORCID: https://orcid.org/0000-0001-7038-9347)
- Ivan Shtepliuk (ORCID: https://orcid.org/0000-0002-8685-3332)
- Kerstin Montelius (ORCID: https://orcid.org/0000-0002-7525-7869)
- Donatella Puglisi (ORCID: https://orcid.org/0000-0003-0646-5266)
- B. Fabbri (ORCID: https://orcid.org/0000-0002-3973-8681)
- E. Tavaglione
Publication Details
- Journal
- Lectures
- Published
- 2025-01-01
- DOI
- https://doi.org/10.5162/eurosensors2025/t4.3.4
- Primary Topic
- Advanced Chemical Sensor Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Linköpings Universitet
- Vetenskapsrådet
- Rättsmedicinalverket