Smart tech meets forensics: Enhancing crime scene investigation with digital simulations

IF 2.2 3区 医学 Q1 MEDICINE, LEGAL Forensic science international Pub Date : 2024-11-12 DOI:10.1016/j.forsciint.2024.112296
Jing Ma
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Abstract

This study proposes the integration of artificial intelligence (AI), specifically reinforcement learning and immersive human-computer interaction, to enhance crime scene investigation (CSI) training and assessment in public security colleges and universities. By incorporating these technologies, the aim is to provide a more systematic, scientific, and efficient learning experience for students, while ensuring fair and impartial evaluation. The technical roadmap and implementation strategy for applying AI and immersive interaction in CSI training are outlined, along with an application plan for different stages of the training and assessment process. This integration seeks to standardize and optimize CSI training, improving both intelligence and efficiency while ensuring fairness in evaluations.
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智能技术与法医学的结合:利用数字模拟加强犯罪现场调查。
本研究建议整合人工智能(AI),特别是强化学习和沉浸式人机交互,以加强公安院校的犯罪现场调查(CSI)培训和评估。通过融入这些技术,旨在为学生提供更系统、更科学、更高效的学习体验,同时确保评价的公平公正。本文概述了在 CSI 培训中应用人工智能和沉浸式交互的技术路线图和实施策略,以及培训和评估过程不同阶段的应用计划。这种整合旨在规范和优化 CSI 培训,提高智能和效率,同时确保评估的公平性。
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来源期刊
Forensic science international
Forensic science international 医学-医学:法
CiteScore
5.00
自引率
9.10%
发文量
285
审稿时长
49 days
期刊介绍: Forensic Science International is the flagship journal in the prestigious Forensic Science International family, publishing the most innovative, cutting-edge, and influential contributions across the forensic sciences. Fields include: forensic pathology and histochemistry, chemistry, biochemistry and toxicology, biology, serology, odontology, psychiatry, anthropology, digital forensics, the physical sciences, firearms, and document examination, as well as investigations of value to public health in its broadest sense, and the important marginal area where science and medicine interact with the law. The journal publishes: Case Reports Commentaries Letters to the Editor Original Research Papers (Regular Papers) Rapid Communications Review Articles Technical Notes.
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