Academic Journal
基于机器学习的人体气味识别及其在法庭科学领域的应用.
| Τίτλος: | 基于机器学习的人体气味识别及其在法庭科学领域的应用. (Chinese) |
|---|---|
| Alternate Title: | Machine Learning-based Human Odor Recognition and Application in Forensic Science. (English) |
| Συγγραφείς: | 张宇, 任昕昕, 宋歌, 董林沛, 李佳宜, 胡晓光 |
| Πηγή: | Forensic Science & Technology; Oct2025, Vol. 50 Issue 5, p529-536, 8p |
| Θεματικοί όροι: | Machine learning, Body odor, Forensic sciences, Electronic data processing, University research, Biomarkers, Recognition (Psychology) |
| Abstract (English): | Human body odor arises from the secretion of various glands on the skin's surface, which, when acted upon by microorganisms, evaporate to produce a distinct scent. This odor contains valuable biological information, with certain compounds exhibiting strong stability and individual specificity, serving as "odor fingerprinting" that can distinguish between different populations. Machine learning is an important method for human odor research, which can not only explore the characteristic components of odor in different populations, but also investigate the differences between different individuals. This paper discusses the application of "odor fingerprinting" in individual identification and feature characterization, drawing upon recent literature. It outlines the data processing procedures involved in human odor analysis, highlights the challenges encountered, and explores current research trends. Finally, the application trends of the recognition of human odor are discussed in order to provide reference for odor recognition research. [ABSTRACT FROM AUTHOR] |
| Abstract (Chinese): | 人体气味是人体多种腺体的分泌物在皮肤表面微生物的作用下挥发形成的气味, 包含大量生物信息, 其中部分化合物具有较强的稳定性以及个体特异性, 可以作为不同人体特征识别的 "气纹特征" 。机器学习是 人体气味研究的重要方法, 不仅可以探究不同人群气味中的特征组分, 还可以考察不同个体之间差异性。本文 参考近几年文献, 总结了基于机器学习的人体气味数据处理流程, 讨论了 "气纹特征" 在个体识别和特征刻画 中的应用, 以及在数据分析过程中的难点以及研究趋势, 对人体气味的识别做出展望, 以期为此类研究提供参考. [ABSTRACT FROM AUTHOR] |
| Copyright of Forensic Science & Technology is the property of Institute of Forensic Science, Ministry of Public Security and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Biomedical Index |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: edm DbLabel: Biomedical Index An: 188766930 RelevancyScore: 1023 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1023.09039306641 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: 基于机器学习的人体气味识别及其在法庭科学领域的应用. (Chinese) – Name: TitleAlt Label: Alternate Title Group: TiAlt Data: Machine Learning-based Human Odor Recognition and Application in Forensic Science. (English) – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22张宇%22">张宇</searchLink><br /><searchLink fieldCode="AR" term="%22任昕昕%22">任昕昕</searchLink><br /><searchLink fieldCode="AR" term="%22宋歌%22">宋歌</searchLink><br /><searchLink fieldCode="AR" term="%22董林沛%22">董林沛</searchLink><br /><searchLink fieldCode="AR" term="%22李佳宜%22">李佳宜</searchLink><br /><searchLink fieldCode="AR" term="%22胡晓光%22">胡晓光</searchLink> – Name: TitleSource Label: Source Group: Src Data: Forensic Science & Technology; Oct2025, Vol. 50 Issue 5, p529-536, 8p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Body+odor%22">Body odor</searchLink><br /><searchLink fieldCode="DE" term="%22Forensic+sciences%22">Forensic sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+data+processing%22">Electronic data processing</searchLink><br /><searchLink fieldCode="DE" term="%22University+research%22">University research</searchLink><br /><searchLink fieldCode="DE" term="%22Biomarkers%22">Biomarkers</searchLink><br /><searchLink fieldCode="DE" term="%22Recognition+%28Psychology%29%22">Recognition (Psychology)</searchLink> – Name: AbstractNonEng Label: Abstract (English) Group: Ab Data: Human body odor arises from the secretion of various glands on the skin's surface, which, when acted upon by microorganisms, evaporate to produce a distinct scent. This odor contains valuable biological information, with certain compounds exhibiting strong stability and individual specificity, serving as "odor fingerprinting" that can distinguish between different populations. Machine learning is an important method for human odor research, which can not only explore the characteristic components of odor in different populations, but also investigate the differences between different individuals. This paper discusses the application of "odor fingerprinting" in individual identification and feature characterization, drawing upon recent literature. It outlines the data processing procedures involved in human odor analysis, highlights the challenges encountered, and explores current research trends. Finally, the application trends of the recognition of human odor are discussed in order to provide reference for odor recognition research. [ABSTRACT FROM AUTHOR] – Name: AbstractNonEng Label: Abstract (Chinese) Group: Ab Data: 人体气味是人体多种腺体的分泌物在皮肤表面微生物的作用下挥发形成的气味, 包含大量生物信息, 其中部分化合物具有较强的稳定性以及个体特异性, 可以作为不同人体特征识别的 "气纹特征" 。机器学习是 人体气味研究的重要方法, 不仅可以探究不同人群气味中的特征组分, 还可以考察不同个体之间差异性。本文 参考近几年文献, 总结了基于机器学习的人体气味数据处理流程, 讨论了 "气纹特征" 在个体识别和特征刻画 中的应用, 以及在数据分析过程中的难点以及研究趋势, 对人体气味的识别做出展望, 以期为此类研究提供参考. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Forensic Science & Technology is the property of Institute of Forensic Science, Ministry of Public Security and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edm&AN=188766930 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.16467/j.1008-3650.2024.0065 Languages: – Code: chi Text: Chinese PhysicalDescription: Pagination: PageCount: 8 StartPage: 529 Subjects: – SubjectFull: Machine learning Type: general – SubjectFull: Body odor Type: general – SubjectFull: Forensic sciences Type: general – SubjectFull: Electronic data processing Type: general – SubjectFull: University research Type: general – SubjectFull: Biomarkers Type: general – SubjectFull: Recognition (Psychology) Type: general Titles: – TitleFull: 基于机器学习的人体气味识别及其在法庭科学领域的应用. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: 张宇 – PersonEntity: Name: NameFull: 任昕昕 – PersonEntity: Name: NameFull: 宋歌 – PersonEntity: Name: NameFull: 董林沛 – PersonEntity: Name: NameFull: 李佳宜 – PersonEntity: Name: NameFull: 胡晓光 IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 10083650 Numbering: – Type: volume Value: 50 – Type: issue Value: 5 Titles: – TitleFull: Forensic Science & Technology Type: main |
| ResultId | 1 |