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7th IEEE World Haptics Conference, WHC 2017

作者： Zhang, Hongdong Zhang, Yuru Wang, Dangxiao Lu, Lei State Key Lab of Virtual Reality Technology and Systems Beihang University No. 37 Xueyuan Road Beijing100191 China

ISBN: (纸本)9781509014255

Designing haptic devices with both high stiffness and low inertia is challenging. In this paper, we propose a solution to overcome the difficulty. We present a new haptic device named DentalTouch for dental simulation. Combining parallel and serial mechanisms, the DentalTouch can render 3-dimentional forces and 6 degree-of-freedom (DOF) motions. We describe how to achieve high stiffness and low inertia in the DentalTouch by using co-actuation method recently developed by our group. We evaluate the stiffness and inertia performance of a DentalTouch prototype through analytical and experimental approaches. The results show that the combined structural and motor control stiffness of the prototype is within the range of 21-69 N/mm and the inertia ranges from 113 to 163 g in task workspace, which demonstrates that the DentalTouch has a potential to provide a high stiffness and low inertia. © 2017 IEEE.

关键词： Stiffness

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Absolute and discrimination thresholds of a flexible texture display 7

Absolute and discrimination thresholds of a flexible texture...

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7th IEEE World Haptics Conference, WHC 2017

作者： Guo, Xingwei Zhang, Yuru Wang, Dangxiao Jiao, Jian State Key Lab of Virtual Reality Technology and Systems Beihang University No. 37 Xueyuan Road Beijing100191 China

ISBN: (纸本)9781509014255

We present a flexible tactile interface, FlexTouch, for simulating texture of fabrics. The FlexTouch displays virtual texture on fingertips based on electrovibration principle. To exam human factors in using FlexTouch, we measured absolute detection thresholds of input voltage with respect to frequencies ranging from 30 to 300 Hz. The measured thresholds formed a U-shaped curve indicating a minimum value of 23 Vpp at the frequency of 169 Hz. We then measured the just-noticeable-differences (JNDs) of the voltage amplitudes ranging from 71 to 225 V at the most sensitive frequency, i.e. 169 Hz. The result suggests that the JNDs depend linearly on the amplitude of stimulus signal. These measures provide guidelines to design interfaces and applications using FlexTouch. © 2017 IEEE.

关键词： Textures

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Quantifying differences between five fingers in speed-accuracy tradeoff for force control tasks 7

Quantifying differences between five fingers in speed-accura...

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7th IEEE World Haptics Conference, WHC 2017

作者： Peng, Cong Wang, Dangxiao Zhang, Yura Li, Teng State Key Lab of Virtual Reality Technology and Systems Beihang University No. 37 Xueyuan Road Beijing100191 China

ISBN: (纸本)9781509014255

The differences of force control capability among individual fingers have been studied in a wide range of contexts. However, the quantitative metric in term of the speed-accuracy tradeoff (SAT) between five fingers has not been systematically investigated. In this paper, we aim to explore this question by measuring SAT of each finger in a precision force control task. During the experiment, participants pressed a force sensor using one of the five fingers of the right hand in an immersive scene. They were instructed to maintain a target force with an expected tolerance within an allowable response time in each trial. The performance of the SAT for each finger was measured under different index of difficulty (ID). The experimental data showed that the SAT characteristic of individual fingers was significantly different. The quantifiable differences of the index of performance (IP) among individual fingers were obtained, which may provide a guideline for design of manipulation products or tasks requiring fast and accurate force control using different fingers. © 2017 IEEE.

关键词： Force control

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Fast Motion Estimation in HEVC Inter Coding: An Overview of Recent Advances

Fast Motion Estimation in HEVC Inter Coding: An Overview of ...

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Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)

作者： Yongfei Zhang Chao Zhang Rui Fan State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing China Beijing Key Lab of Digital Media Beihang University Beijing China China Academy of Electronic and Information Technology Beijing China

ISBN: (纸本)9781728102436;9789881476852

High Efficiency Video Coding (HEVC), the latest video coding standard, is becoming popular due to its excellent coding performance, in particular in the case of high-resolution video applications. However, the significant gain in performance is achieved at the cost of substantially higher encoding complexity than its precedent H.264/AVC, in which motion estimation (ME) is one of the most time-consuming parts that effectively removes temporal redundancy. During the development, especially after the release of H.265/HEVC, plenty of fast ME algorithms have been developed to reduce the motion estimation complexity for better application of HEVC into practical real-time video applications. In this review, we provide a comprehensive review of the state-of-the-art fast ME algorithms for HEVC inter coding, for both integer-pixel and fractional-pixel ME algorithms. In all, this review paper provides a comprehensive review of the recent advances of ME for HEVC inter frame coding and hopefully it may provide valuable leads for the improvement, implementation and applications of HEVC inter-prediction as well as for the ongoing development of the next generation video coding standard.

关键词： Encoding Motion estimation Computational complexity Microsoft Windows Heuristic algorithms Prediction algorithms

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AGlobal benchmark of algorithms for segmentinglate gadolinium-enhanced cardiac magnetic resonance imaging

arXiv

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arXiv 2020年

作者： Xiong, Zhaohan Xia, Qing Hu, Zhiqiang Huang, Ning Bian, Cheng Zheng, Yefeng Vesal, Sulaiman Ravikumar, Nishant Maier, Andreas Yang, Xin Heng, Pheng-Ann Ni, Dong Li, Caizi Tong, Qianqian Si, Weixin Puybareau, Elodie Khoudli, Younes Géraud, Thierry Chen, Chen Bai, Wenjia Rueckert, Daniel Xu, Lingchao Zhuang, Xiahai Luo, Xinzhe Jia, Shuman Sermesant, Maxime Liu, Yashu Wang, Kuanquan Borra, Davide Masci, Alessandro Corsi, Cristiana De Vente, Coen Veta, Mitko Karim, Rashed Preetha, Chandrakanth Jayachandran Engelhardt, Sandy Qiao, Menyun Wang, Yuanyuan Tao, Qian Nuñez-Garcia, Marta Camara, Oscar Savioli, Nicolo Lamata, Pablo Zhao, Jichao Auckland Bioengineering Institute University of Auckland Auckland New Zealand State Key Lab of Virtual Reality Technology and Systems Beihang University Beijing China School of Electronics Engineering and Computer Science Peking University Beijing China SenseTime Inc Shenzhen China Tencent Jarvis Laboratory Shenzhen China Pattern Recognition Lab Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen Germany Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong National-Regional Key Technology Engineering Laboratory for Medical Ultrasound School of Biomedical Engineering Shenzhen University Shenzhen China School of Computer Science Wuhan University Wuhan China Shenzhen Key Laboratory of Virtual Reality and Human Interaction Technology Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China Epita Research and Development Laboratory Paris France Department of Computing Imperial College London London United Kingdom School of Naval Architecture Shanghai Jiao Tong University Ocean & Civil Engineering Shanghai China School of Data Science Fudan University Shanghai China Epione Research Group Universite Cote d'Azur Inria Sophia Antipolis France Harbin Institute of Technology School of Computer Science and Technology Harbin China Department of Electric University of Bologna Electronic and Information Engineering Cesena Italy Department of Biomedical Engineering Eindhoven University of Technology Eindhoven Netherlands School of Biomedical Engineering and Imaging Sciences Kings College London London United Kingdom Faculty of Electrical Engineering and Information Technology University of Magdeburg Magdeburg Germany Heidelberg University Hospital Germany Biomedical Engineering Center Fudan University Shanghai China Department of Radiology Leiden University Medical Center Leiden Netherlands Department of Information and Communication Technologies Universitat Pompeu Fabra Barcelona Spain D

Segmentation of cardiac images, particularly late gadolinium-enhanced magnetic resonance imaging (LGE-MRI)widely used for visualizing diseased cardiacstructures, is a crucial first step for clinical diagnosis and treatment. However, direct segmentation ofLGE-MRIsischallenging due to *** most clinical studies have relied on manual and labor-intensive approaches, automatic methods are of high interest, particularly optimized machine learning *** address this, we organized the "2018 Left Atrium Segmentation Challenge" using 154 3D LGE-MRIs, currently the world's largest cardiac LGE-MRI dataset, and associated labels of the left atriumsegmented by three medical experts,ultimately attractingthe participation of27 international teams. In this paper, extensive analysis of the submitted algorithms using technical and biological metrics was performed by undergoing subgroup analysis and conducting hyper-parameter analysis,offeringan overall picture ofthe major design choices of convolutional neural networks(CNNs) and practical considerations for achieving state-of-the-art left atrium segmentation. Results show the top methodachieved a dice score of 93.2%and a mean surface to a surface distance of 0.7mm, significantly outperforming prior state-of-the-art. Particularly, our analysisdemonstrated that double, sequentially usedCNNs, in which a first CNN is used for automatic region-of-interestlocalization and a subsequent CNN is used for refinedregional segmentation, achieved far superiorresults than traditional methods and pipelinescontaining *** findings from this study can potentially be extended to other imaging datasets and modalities, having an impact on the wider medical imaging *** large-scale benchmarking study makes a significant step towards much-improved segmentation methods for cardiac LGE-MRIs, and will serveas animportant benchmark for evaluating and comparing the future works in the field. Copyright © 2020, Th

关键词： Magnetic resonance imaging

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Mobile APP user attribute prediction by heterogeneous information network modeling

arXiv

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arXiv 2019年

作者： Zhang, Hekai Gong, Jibing Teng, Zhiyong Wang, Dan Wang, Hongfei Du, Linfeng Bhuiyan, Zakirul Alam School of Information Science and Engineering Yanshan University Qinhuangdao066004 China Key Lab for Computer Virtual Technology and System Integration Yanshan University Qinhuangdao066004 China School of Computer Science and Engineering Beihang University Beijing100191 China Shenyuan Honors College Beihang University Beijing100191 China State Key Lab of Mathematical Engineering and Advanced Computing Wuxi214000 China Department of Computer and Information Sciences Fordham University

User-based attribute information, such as age and gender, is usually considered as user privacy information. It is difficult for enterprises to obtain user-based privacy attribute information. However, user-based privacy attribute information has a wide range of applications in personalized services, user behavior analysis and other aspects. Although many scholars have made achievements in user attribute prediction and other related fields, there are still two main problems that impede further improvement on the accuracy of classification: (1) Traditional machine learning classification merely takes each object as a single individual, ignoring the relationship between them;(2) At present, the popular Heterogeneous Path-Mine Information Network only considers whether the user has a relationship with the attributes of other nodes, rather than the degree of correlation of the attributes. It employs a linear regression model to fit the weight of meta-path, which is highly sensitive to outliers. To solve the above two problems, this paper advances the HetPathMine model and puts forward TPathMine model. With applying the number of clicks of attributes under each node to express the user's emotional preference information, optimizations of the solution of meta-path weight are also presented. Based on meta-path in heterogeneous information networks, the new model integrates all relationships among objects into isomorphic relationships of classified objects. Matrix is used to realize the knowledge dissemination of category knowledge among isomorphic objects. The experimental results show that: (1) the prediction of user attributes based on heterogeneous information networks can achieve higher accuracy than traditional machine learning classification methods;(2) TPathMine model based on the number of clicks is more accurate in classifying users of different age groups, and the weight of each meta-path is consistent with human intuition or the real world situation. Copyright ©

关键词： Forecasting

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An Accessibility Analysis Approach for Product Maintainability Design in virtual Environment

An Accessibility Analysis Approach for Product Maintainabili...

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2017 International Conference on Computer, Electronics and Communication Engineering(CECE2017)

作者： Ran-ran WANG Chuan LV Jie GENG Zhi-yi HE State Key Laboratory of Virtual Reality Technology and System Beijing University of Aeronautics and Astronautics State Key Laboratory of Virtual Reality Technology and System Beijing University of Aeronautics and Astronautics

In this paper, a virtual design application for accessibility analysis is proposed to provide improvement recommendation at the early stage of product maintainability design. After analyzing relevant elements in product accessibility design, corresponding analysis implementation approach and assessment classification are addressed in virtual environment. And based on the generated product maintenance simulation, a purposeful accessibility analysis is conducted focusing on each operation spot during the maintenance. Detailed information will be illustrated with a case study.

关键词： virtual design Maintenance accessibility virtual maintenance

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The Data-Reusing MCC-Based Algorithm and Its Performance Analysis

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Chinese Journal of Electronics 2016年第4期25卷 719-725页

作者： LIU Chunhui QI Yue DING Wenrui Research Institute of Unmanned Aerial Vehicle Beihang University State Key Laboratory of Virtual Reality Technology and System Beihang University

Maximum correntropy criterion(MCC)provides a robust optimality criterion for non-Gaussian signal *** this paper,the weight update equation of the conventional MCC-based adaptive filtering algorithm is modified by reusing the past K input vectors,forming a class of data-reusing MCC-based algorithm,called DRMCC *** with the conventional MCCbased algorithm,the DR-MCC algorithm provides a much better convergence performance when the input data is *** mean-square stability bound of the DRMCC algorithm has been studied *** both Gaussian noise case and non-Gaussian noise case,the expressions for the steady-state Excess mean square error(EMSE) of DR-MCC algorithm have been *** relationship between the data-reusing order and the steadystate EMSEs is also *** results are in agreement with the theoretical analysis.

关键词： Adaptive filtering Maximum correntropy criterion(MCC) Data-reusing Mean-square stability Steady-state excess mean square error

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Motion Transition Based on Bézier Quaternion Curve

Motion Transition Based on Bézier Quaternion Curve

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2017中国智能自动化会议(CIAC 2017)

作者： Yancai Lu Shuling Dai State Key Lab Virtual Reality Technology and Systems Beihang University

1 Introduction virtual human is a digital representation of the geometric and behavioral property of human beings in the virtual environment generated by computer [1].It is demanded by numerous applications ranging from military simulation,education,aerospace and movie special effects,to human factors analysis,*** the development of motion capture technology,data-driven [2] virtual human motion

关键词： frame zier Quaternion Curve Motion Transition Based on B

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A development and application of maintainability evaluation system using immersive VR

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IOP Conference Series: Materials Science and Engineering 2019年第1期658卷

作者： Meihui Wang Yongxiang Li Chuan Lyu Xi Liu School of Reliability and Systems Engineering Beihang University China State Key Laboratory of Virtual Reality Technology System Beihang University China Technology and Engineering Center for Space Utilization Chinese Academy of Science Beijing China Xi'an Modern Control Technology Research Institute Xi'an 710065 China

Immersing into virtual reality (VR) is a perception of being physically present in a non-physical world. Using immersive VR in maintenance brings great conveniences. For example, using virtual human operating in hazardous environment before the real person, which can prevent being hurt. In this paper, a system of immersive virtual maintenance (IVM) is presented. It is divided into three parts. The first part is Input, which contains the maintenance task and maintenance design. The second part is Method, with which making the virtual human and the users act in a unified way. The key to build IVM system is the interface between the motion capture system and virtual simulation software. The third part is Output, which presents the maintainability evaluation results. This paper focuses on how to build IVM system, the difficulties and solutions also be detailed. At last, a simple application is given

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