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2020, 01, v.25;No.142 42-48
智能手机传感器的人体行为识别技术
基金项目(Foundation): 陕西省工业领域一般项目(2020GY-081);; 陕西省教育厅专项科学研究计划项目(18JK0716)
邮箱(Email):
DOI: 10.13682/j.issn.2095-6533.2020.01.005
摘要:

从传感器选择、特征提取、行为识别等3个方面对基于机器学习的人体行为识别技术进行分析,对比各类算法的优势和不足。总结对比常用公开数据集,并展望人体行为识别技术在案件现场的应用,最后讨论了人体行为识别发展的难点和新方向。

Abstract:

The human activity recognition with machine learning technology is analysed in three aspects:sensor selection,feature extraction and activity recognition.The characteristic of various algorithms is compared,and commonly used datasets are concluded.The prospect application in crime scene investigation is given and the difficulties and new directions of human activity recognition method are discussed.

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基本信息:

DOI:10.13682/j.issn.2095-6533.2020.01.005

中图分类号:TN929.53;TP212

引用信息:

[1]艾达,王倩,樊炜鑫,等.智能手机传感器的人体行为识别技术[J],2020,25(01):42-48.DOI:10.13682/j.issn.2095-6533.2020.01.005.

基金信息:

陕西省工业领域一般项目(2020GY-081);; 陕西省教育厅专项科学研究计划项目(18JK0716)

引用

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