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作者： Yue Ma Chenghao Wei Hao Long Key Laboratory of Impression Evidence Examination and Identification Technology(Criminal Investigation Police University of China) Ministry of Public Security Big Data Institute College of Computer Science and Software EngineeringShenzhen University

Aiming at the issues that affect the gait recognition, such as outfit changes and carryon-objects during gait recognition, this paper proposes a gait recognition method based on the improved GaitSet network, which relies on the fusion of human posture and human contour. This method introduces key points of human posture, and improves the precision of human contour extraction by introducing the key points of human posture. At the same time, the human posture map composed of the key points of human posture is used as the synchronous attribute of the contour map to extract gait features. Because key points focus on the inherent walking characteristics of human body, they are not affected by the external information such as clothing and carrying objects. Combined with the rich gait change attributes of human contour, it can effectively improve the accuracy and robustness of the gait recognition model. In scenes of human body wearing coats, our experimental results show that the accuracy of the proposed method in CASIA-B gait data set and self-built database can reach over 73.5% accuracy.

关键词： A Gait Recognition Method Based on the Combination of Human Body Posture and Human Body Contour

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Eye-visible red-emitting photoluminescence of copper nanoclusters capped by 2-mercaptopyrimidine derivatives for promoting visualization of latent fingermarks

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Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy 2025年 343卷 126574页

作者： Guo-Rui Li Ya-Ni Dai Xin-Ming Li Dong-Xu Li Si-Qi Zhang Da-Wu Li Nan You Hong-Tao Fan College of Petrochemical Engineering Liaoning Petrochemical University Fushun 113001 China. College of Forensic Science Criminal Investigation Police University of China Shenyang Liaoning 110035 China Key Laboratory of Impression Evidence Examination and Identification Technology Ministry of Public Security Shenyang Liaoning 110035 China. School of Pharmaceutical and Chemical Engineering Taizhou University Jiaojiang Zhejiang 318000 China. Key Laboratory of Impression Evidence Examination and Identification Technology Ministry of Public Security Shenyang Liaoning 110035 China. Electronic address: ldw20001980@***. College of Petrochemical Engineering Liaoning Petrochemical University Fushun 113001 China. Electronic address: younan_77@***. College of Petrochemical Engineering Liaoning Petrochemical University Fushun 113001 China. Electronic address: httyf_77@***.

Latent fingermarks (LFMs) are served as crucial evidence in screening of identification. There are only a limited number of phosphors with red emission. In this work, the copper nanoclusters (CuNCs) are prepared by chemical reduction of Cu(II) ions using 2-mercaptopyrimidine (MPY) derivatives (such as 4-methyl-2-mercaptopyrimidine (MMPY) and 4,6-dimethyl-2-mercaptopyrimidine (DMPY)), as named MMPY-CuNCs and DMPY-CuNCs, respectively. Although the MMPY and DMPY have the similar skeleton structure in molecular with MPY, the introduction of methyl groups into the skeleton of molecular plays key role in the enhancement of photoluminescence, and leads to the change in the emission wavelengths with an obvious blueshift for the as prepared CuNCs. The DMPY-CuNCs display a higher fluorescence intensity, a larger luminescence quantum yield of 60.19 % and a longer excited state lifetime of 10.14 μs compared with that of the MMPY-CuNCs. The DMPY-CuNCs with a bright red-emissive fluorescence at 700 nm under 372 nm excitation were used for the detection of LFMs left on various objects with different residual times. The DMPY-CuNCs can effectively display and accurately identify the intricate details of LFMs ridges with the features of level 1, level 2, and level 3. Non-permeable and semi-permeable surfaces of various substrates with multicolored and complicated patterns have no notable background interferences on the detection of LFMs. There is a slight drop in the image quality of the aging LFMs compared to the fresh one after the aging time of 21 days. Thus, this work opens a new avenue for the fabrication of CuNCs as a potential red-emissive phosphor that holds promise in identification and detection of the LFMs.

关键词： Imaging Latent fingermarks Metal nanoclusters Nanocomposites

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A hybrid approach using human posture and contour for gait recognition under body occlusion

A hybrid approach using human posture and contour for gait r...

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International Conference on Information Science and Control Engineering (ICISCE)

作者： Yue Ma Chenghao Wei Hao Long Ministry of Public Security Key Laboratory of Impression Evidence Examination and Identification Technology (National Police University of China) people’s republic of China Big Data Institute College of Computer Science and Software Engineering Shenzhen University

This paper presents a hybrid method using a Gaitset network for gait recognition. We firstly use Alphpose model to obtain key points of human posture to improve the extraction of human contour under body occlusion. The human contour map is obtained by pose2Seg model with the key points of human posture. Both human posture and body contour are used as input of the network. By using the hybrid method, it can effectively improve the accuracy and robustness of gait recognition with the upper body information under occlusion. In scenes of human walking under body occlusion, our experimental results show that the accuracy of the proposed method in self-built database can reach 84.6% accuracy.

关键词： Legged locomotion Information science Control engineering Databases Feature extraction Robustness Gait recognition

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A Gait Recognition Method Based on the Combination of Human Body Posture and Human Body Contour

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Journal of Physics: Conference Series 2020年第1期1631卷

作者： Yue Ma Chenghao Wei Hao Long Key Laboratory of Impression Evidence Examination and Identification Technology (Criminal Investigation Police University of China) Ministry of Public Security China Big Data Institute College of Computer Science and Software Engineering Shenzhen University China

Aiming at the issues that affect the gait recognition, such as outfit changes and carry-on-objects during gait recognition, this paper proposes a gait recognition method based on the improved GaitSet network, which relies on the fusion of human posture and human contour. This method introduces key points of human posture, and improves the precision of human contour extraction by introducing the key points of human posture. At the same time, the human posture map composed of the key points of human posture is used as the synchronous attribute of the contour map to extract gait features. Because key points focus on the inherent walking characteristics of human body, they are not affected by the external information such as clothing and carrying objects. Combined with the rich gait change attributes of human contour, it can effectively improve the accuracy and robustness of the gait recognition model. In scenes of human body wearing coats, our experimental results show that the accuracy of the proposed method in CASIA-B gait data set and self-built database can reach over 73.5% accuracy.

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Research on Pin Tumbler Locks and the Characteristics of Surface Traces Formed by Unlocking Guns

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IOP Conference Series: Materials Science and Engineering 2018年第1期307卷

作者： Gao Yi Jin Yifeng Bai Yanping Mei Hongcheng Xu Zhen Key Laboratory of Evidence Examination and Identification Technology Ministry of Public Security Criminal Investigation Police University of China Department of Public Security Document Identification Center

In this paper, taking the structure of the pin tumbler locks and the principle of opening and closing locks as breakthrough point, we have studied the machining traces of pin tumbler components and trace characters of pin surface during normal operating. At the same time, taking the unlocking gun as an example, the paper analyzes the unlocking technology and the formation of traces, and summarizes the changing rules of the surface traces of elastic bead locks by comparing the positions and the characteristics of the traces, which provides technical support for the future study of traces of pin tumbler locks.

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Erratum to "Influence of Gait Speeds on Contact Forces of Lower Limbs"

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Journal of healthcare engineering 2018年第1期2018卷 9291423页

作者： Xin Wang Yue Ma Bo Yi Hou Wing-Kai Lam Department of Kinesiology Shenyang Sport University Shenyang 110102 China. Key Laboratory of Impression Evidence Examination and Identification Technology Criminal Investigation Police University of China Shenyang 110854 China. Ningwu Country Senior High School Ningwu 036700 China. Li Ning Sports Science Research Centre Beijing 101111 China.

[This corrects the article DOI: 10.1155/2017/6375976.].

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ANALYSIS ON THE GAIT OF LOWER LIMBS IN DIFFERENT WALKING SPEED

ANALYSIS ON THE GAIT OF LOWER LIMBS IN DIFFERENT WALKING SPE...

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第6届亚洲运动生物力学学术交流大会

作者： Xin Wang Boyi Hou Yue Ma Deptement of Kinesiology Shenyang Sport University Key Laboratory of Impression Evidence Examination and Identification Technology National Police University of China

INTRODUCTION Walking is a popular fitness campaign in many cities in China,which is good for the *** because many people just care about the speed of walking and ignore the trend of injury,which has cause some problem in the knee joint[1-3].This paper wants to find out the biomechanical effect on lower limb in different walking ***15 young males and 15 females were *** dates were collected by Codamotion infrared capture system,ATMI

关键词： ANALYSIS ON THE GAIT OF LOWER LIMBS IN DIFFERENT WALKING SPEED

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Functional brain network analysis of the fatigue state for coach bus driver 7

Functional brain network analysis of the fatigue state for c...

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7th IEEE International Conference on Awareness Science and technology, iCAST 2015

作者： Chang, Wenwen Wang, Hong Key Laboratory of Impression Evidence Examination and Identification Technology Ministry of Public Securit Shenyang China School of Mechanical Engineering and A Utomation Northeastern University Shenyang China

ISBN: (纸本)9781467376587

Traffic accident of coach bus occurred frequently in recent years. One important reason of the accident is the fatigue driving of the bus driver. Thus it is very important to monitor and research the state of the driver during the driving process, which can give an evaluation to driver's driving condition and provide a valuable reference to the coach driving. Because there have some different features of human electroencephalogram (EEG) between the fatigue state and the natural state, we used the portable EEG acquisition device, Emotive, to get the EEG of the driver in the natural state (before driving) and the fatigue state (after driving three hours) in the real driving environment. And through the wavelet packet analysis, the EEG was decomposed to four sub frequency band: theta, alpha, beta and delta band, for each band, the nonlinear correlation of different electrode was calculated and functional brain network was constructed. Then the network was converted to binary network by choose an appropriate threshold and some network feature parameters were calculated and compared between the natural state and the fatigue state. The result shows that the differences of the functional brain network between the two states are very clear and this method can be used to monitor and evaluation the driver's fatigue state. © 2015 IEEE.

关键词： Wavelet analysis

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NIR-induced highly sensitive detection of latent finger- marks by NaYF4：Yb,Er upconversion nanoparticles in a dry powder state

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Nano Research 2015年第6期8卷 1800-1810页

作者： Meng Wang Ming Li Mingying Yang Xiaomei Zhang Aoyang Yu Ye Zhu Penghe Qiu Chuanbin Mao Department of Trace Examination National Police University of China Shenyang 110035 China Key Laboratory of Impression Evidence Examination and Identification Technology Ministry of Public Security China Institute of Applied Bioresource Research College of Animal Science Zhejiang University Hongzhou 310058 China Department of Chemistry & Biochemistry Stephenson Life Sciences Research Center University of Oklahoma Norman Oklahoma 73019 USA

The most commonly found fingermarks at crime scenes are latent and, thus, an efficient method for detecting latent fingermarks is very important. However, traditional developing techniques have drawbacks such as low detection sensitivity, high background interference, complicated operation, and high toxicity. To tackle this challenge, we employed fluorescent NaYF4：Yb, Er upconversion nanoparticles （UCNPs）, which can fluoresce visible light when excited by 980 nm human-safe near-infrared light, to stain the latent fingermarks on various substrate surfaces. The UCNPs were successfully used as a novel fluorescent label for the detection of latent fingermarks with high sensitivity, low background, high efficiency, and low toxicity on various substrates including non-infiltrating materials （glass, marble, aluminum alloy sheets, stainless steel sheets, aluminum foils, and plastic cards）, semi-infiltrating materials （floor leathers, ceramic tiles, wood floor, and painted wood）, and infiltrating materials such as various types of papers. This work shows that UCNPs are a versatile fluorescent label for the facile detection of fingermarks on virtually any material, enabling their practical applications in forensic sciences.

关键词： upconversion nanoparticles fingermark development

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Map matching algorithm based on the distribution of GPS positioning errors

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Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of technology 2016年第12期36卷 91-94页

作者： Chang, An-De Wang, Jing Jiang, Gui-Yan Key Laboratory of Impression Evidence Examination and Identification Technology National Police University of China ShenyangLiaoning110035 China College of Engineering Shenyang Agricultural University ShenyangLiaoning110866 China Faculty of Maritime and Transportation Ningbo University NingboZhejiang315211 China National Traffic Management Engineering & Technology Research Centre Ningbo University Sub-Centre NingboZhejiang315211 China

In order to remedy the main shortcomings of current map matching algorithms, that the effects of position correction along road for GPS positioning are poor, especially to the case of independent GPS positioning, a map matching algorithm was designed based on the characters and distribution rules of GPS positioning errors. The focus lied in improving position precision along road for GPS positioning. The algorithm was verified with measured GPS data based on part road network in Changchun, China. The results show that the effects of map matching algorithm are better than conventional algorithms, especially that the position correction precision along road for GPS positioning is improved by 2.5 m, which can meet the higher demand for GPS data users well. © 2016, Editorial Department of Transaction of Beijing Institute of technology. All right reserved.

关键词： Global positioning system

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