人体步态分析和识别的医学和法医应用综述

IF 0.6 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS International Journal of Digital Crime and Forensics Pub Date : 2021-11-01 DOI:10.4018/ijdcf.289432
Shantanu Jana, N. Das, Subhadip Basu, M. Nasipuri
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引用次数: 2

摘要

步态是一种行为生物特征,有时会因疾病而发生变化,但它仍然是一种强有力的识别指标,广泛应用于法医工作、国家生物特征保存部门和医学实验室。步态分析有时有助于识别人目前的精神状态,反映生理治疗,以改善生物系统。步态测量的形式多种多样,将研究领域从犯罪侦查扩展到医学增强。到目前为止,步态识别的研究工作已经完成了很多。许多研究人员将重点放在人体骨骼图像上提取步态特征,并对步长进行研究。各种传感器已被用于检测各种光形式的步态。本文是对步态识别工作的简要概述,收集了各种来源的科技文献。我们已经讨论了一些最有效的模型,我们也讨论了一些可用的数据集。
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Survey of Human Gait Analysis and Recognition for Medical and Forensic Applications
Gait is a behavioural biometric which sometimes changes due to diseases but it is still a strong identification metric that is widely used in forensic works, state biometric preserve sectors, and medical laboratories. Gait analysis sometimes helps to identify person’s present mental state which reflects on physiological therapy for improved biological system. There are various gait measurement forms which expand the research area from crime detection to medical enhancement. Many research works have been done so far for gait recognition. Many researchers focused on skeleton image of people to extract gait features and many worked on stride length. Various sensors have been used to detect gait in various light forms. This paper is a brief survey of works on gait recognition, collected from various sources of science and technology literature. We have discussed few efficient models that worked best as well as we have discussed about few data sets available.
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来源期刊
International Journal of Digital Crime and Forensics
International Journal of Digital Crime and Forensics COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
2.70
自引率
0.00%
发文量
15
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