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14th SIAM International Conference on Data Mining, SDM 2014

作者： Hu, Zhongyi Wang, Hongan Zhu, Jiaqi Li, Maozhen Qiao, Ying Deng, Changzhi State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences China Beijing Key Laboratory of Human-Computer Interaction Institute of Software Chinese Academy of Sciences China School of Engineering and Design Brunei University Brunei

ISBN: (纸本)9781510811515

Plain text documents created and distributed on the Internet are ever changing in various forms. Mining topics of these documents has significant applications in many domains. Most of the literature is devoted to topic modeling, while sequential patterns of topics in document streams are ignored. Moreover, traditional sequential pattern mining algorithms mainly focused on frequent patterns for deterministic data sets, and thus not suitable for document streams with topic uncertainty and rare patterns. In this paper, we formulate and handle the mining problem of rare Sequential Topic Patterns (STPs) for Internet document streams, which are rare on the whole but relatively often for specific users, so also interesting. Since this type of rare STPs reflects users' specific behaviors, our work can be applied in many fields, such as personalized context-aware recommendation and real-time monitoring on abnormal user behaviors on the Internet. We propose a novel approach to discovering user-related rare STPs based on the temporal and probabilistic information of concerned topics. After extracting topics from documents by LDA and sorting the document stream into sessions for different users during different time periods, the proposed algorithms discover rare STPs by (1) mining STP candidates for each user through an efficient algorithm based on pattern-growth, and (2) generating userrelated rare STPs by pattern rarity analysis. Experiments on both synthetic and real data sets show that our approach can discover interesting rare STPs very effectively and efficiently. Copyright © SIAM.

关键词： Data mining

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SceneSketcher: Fine-Grained Image Retrieval with Scene Sketches 16th

SceneSketcher: Fine-Grained Image Retrieval with Scene Sketc...

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16th European Conference on computer Vision, ECCV 2020

作者： Liu, Fang Zou, Changqing Deng, Xiaoming Zuo, Ran Lai, Yu-Kun Ma, Cuixia Liu, Yong-Jin Wang, Hongan State Key Laboratory of Computer Science and Beijing Key Lab of Human-Computer Interaction Institute of Software Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China HMI Laboratory Huawei Technologies Shenzhen China Cardiff University Cardiff United Kingdom Tsinghua University Beijing China

ISBN: (纸本)9783030585280

Sketch-based image retrieval (SBIR) has been a popular research topic in recent years. Existing works concentrate on mapping the visual information of sketches and images to a semantic space at the object level. In this paper, for the first time, we study the fine-grained scene-level SBIR problem which aims at retrieving scene images satisfying the user’s specific requirements via a freehand scene sketch. We propose a graph embedding based method to learn the similarity measurement between images and scene sketches, which models the multi-modal information, including the size and appearance of objects as well as their layout information, in an effective manner. To evaluate our approach, we collect a dataset based on SketchyCOCO and extend the dataset using Coco-stuff. Comprehensive experiments demonstrate the significant potential of the proposed approach on the application of fine-grained scene-level image retrieval. © 2020, Springer Nature Switzerland AG.

关键词： Semantics

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Pactolus: A method for mid-air gesture segmentation within EMG

Pactolus: A method for mid-air gesture segmentation within E...

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34th Annual CHI Conference on human Factors in Computing Systems, CHI EA 2016

作者： Chen, Yineng Su, Xiaojun Tian, Feng Huang, Jin Zhang, Xiaolong Dai, Guozhong Wang, Hongan Beijing Key Laboratory of Human-Computer Interaction Institute of Software Chinese Academy of Sciences Beijing China State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Beijing China Pennsylvania State University University ParkPA United States School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781450340823

Mid-air gestures have become an important interaction technique in natural user interfaces, especially in augmented reality and virtual reality. Supporting a set of continuous gesture-based commands in mid-air gesture interaction systems, such as selecting and moving then placing an object, however, remains to be a challenge. This is largely because these intentional command gestures are connected through transitional, meaningless gestures, which are often misleading for gesture recognition systems. The inability to separate unintentional movements from intentional command gestures, also called the Midas problem, limits the application of mid-air gestures. This paper addresses the Midas problem via a physiological computing approach. With the help of sensors that capture physiological signals, we present a novel method, Pactolus, for segmenting mid-air gestures using arm electromyography. User studies demonstrate the high accuracy of our approach in segmenting mid-air gestures interleaved by transitional hand or finger movements. © 2016 Authors.

关键词： Augmented reality

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Motion estimation of multiple depth cameras using spheres

Motion estimation of multiple depth cameras using spheres

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作者： Deng, Xiaoming Liu, Jie Tian, Feng Chang, Liang Wang, Hongan Beijing Key Lab of Human-Computer Interaction Institute of Software Chinese Academy of Sciences China College of Information Science and Technology Beijing Normal University China

ISBN: (纸本)9781479957514

Automatic motion estimation of multiple depth cameras has remained a challenging topic in computer vision due to its reliance on the image correspondence problem. In this paper, spherical objects are employed to estimate motion parameters between multiple depth cameras. We move a sphere several times in the common view of depth cameras. We fit the spherical point clouds to get the sphere centers in each depth camera system, and then introduce a factorization based approach to estimate motions between the depth cameras. Both simulated and real experiments show the robustness and effectiveness of our method. © 2014 IEEE.

关键词： Motion estimation

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Left and right hand distinction for multi-touch tabletop interactions 14

Left and right hand distinction for multi-touch tabletop int...

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19th International Conference on Intelligent User Interfaces, IUI 2014

作者： Zhang, Zhensong Zhang, Fengjun Chen, Hui Liu, Jiasheng Wang, Hongan Dai, Guozhong 1Beijing Key Lab of Human-Computer Interaction Institute of Software Chinese Academy of Sciences China State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences China Information Center Guodian Finance Co. Ltd. China

ISBN: (纸本)9781450321846

In multi-touch interactive systems, it is of great significance to distinguish which hand of the user is touching the surface in real time. Left-right hand distinction is essential for recognizing the multi-finger gestures and further fully exploring the potential of bimanual interaction. However, left-right hand distinction is beyond the capability of most existing multi-touch systems. In this paper, we present a new method for left and right hand distinction based on the human anatomy, work area, finger orientation and finger position. Considering the ergonomics principles of gesture designing, the body-forearm triangle model was proposed. Furthermore, a heuristic algorithm was introduced to group multi-touch contact points and then made left-right hand distinction. A dataset of 2880 images has been set up to evaluate the proposed left-right hand distinction method. The experimental results demonstrate that our method can guarantee the high recognition accuracy and real time performance in freely bimanual multi-touch interactions. © 2014 ACM.

关键词： Heuristic algorithms

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Modeling a target-selection motion by leveraging an optimal feedback control mechanism

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science China(Information sciences) 2018年第4期61卷 209-211页

作者： Jin HUANG Xiaolan PENG Feng TIAN Hongan WANG Guozhong DAI Beijing Key Laboratory of Human-Computer Interaction Institute of Software Chinese Academy of Sciences State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences School of Computer and Control Engineering University of Chinese Academy of Sciences

Target selection has always been a popular research topic in the human-computer interaction(HCI)*** with continuous interactive spaces,such as video games,augmented reality(AR),and virtual reality(VR),are becom-

关键词： Modeling a target-selection motion by leveraging an optimal feedback control mechanism

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A Neural Architecture Search Method with Multi-Dimensional Correlation Representation for Fault Diagnosis 9

A Neural Architecture Search Method with Multi-Dimensional C...

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9th IEEE Smart World Congress, SWC 2023

作者： Liu, Yumeng Wang, Tingqi Zheng, Xu Tian, Ling Wang, Hongan Institute of Software Chinese Academy of Sciences Beijing Key Laboratory of Human-Computer Interaction Beijing China University of Chinese Academy of Sciences School of Computer Science and Technology Beijing China University of Electronic Science and Technology of China School of Computer Science and Engineering Chengdu China

ISBN: (纸本)9798350319804

As deep learning has become more widely used for fault diagnosis, the shortcomings of model transferability and human model design costs are growing increasingly evident. The current work has tackled each of these two issues. Domain adaptation methods can provide transportability by mapping data to a common domain. For the consumption of manually constructed networks, Neural Architecture Search (NAS) is an intelligent solution that automatically select the ideal network structure. Unfortunately, there is little work to connect these two methodologies in fault diagnosis. Furthermore, these approaches are incapable in extracting internal correlations from instrumental signal data. In this paper, we propose a transferrable NAS fault diagnosis method, which maximizes savings in manual costs. We also integrate graph neural networks (GNN) in a stepwise manner into the NAS and domain adaptation to provide a multi-dimension correlation representation. Firstly, we structure the signal data into graph based on temporal relationships. Then, NAS designs automatically for selecting the optimal network structure and useful features. In NAS, graph encoder of GNN is used to establish internal relationships. Finally, domain adaptation provides transferability. At the same time, GNN's weights in domain adaptation help to further mine data internal associations. We tested our method on two publicly available datasets and performed comparisons. The experimental results show the proposed method has superior performance. © 2023 IEEE.

关键词： Domain Adaptation Fault Diagnosis Graph Neural Network Neural Architecture Search

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Real-time collision detection with two-level spatial hashing on GPU 22

Real-time collision detection with two-level spatial hashing...

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22nd Pacific Conference on computer Graphics and Applications, PG 2014

作者： Hong, Yang Wu, Wen Chen, Hui Department of Computer and Information Science Faculty of Science and Technology University of Macau China Department of Computer Science and Engineering The Chinese University of Hong Kong Hong Kong Beijing Key Lab of Human-Computer Interaction Institute of Software Chinese Academy of Science Beijing China

ISBN: (纸本)9783905674736

In this paper, a two-level parallel spatial hashing method is presented for real-time collision detection of deformable objects based on modern GPU architecture. The second-level of spatial hashing is used to improve the culling efficiency. Moreover, a novel encoding method on GPU is proposed to compensate the inflexibility of the GPU memory system. It can efficiently determine the colliding pairs of primitives between deformable objects. The experimental results show that our method can perform high culling efficiency with low memory cost. © The Eurographics Association 2014.

关键词： Graphics processing unit

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Simulating the Dilution of Sulfuric Acid on Mixed Reality Platform 8

Simulating the Dilution of Sulfuric Acid on Mixed Reality Pl...

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8th International Conference on Virtual Reality, ICVR 2022

作者： Pan, Zhipeng Miao, Jinda Cai, Ning Luo, Tianren Zhang, Mingmin Pan, Zhigeng Research Institute of Virtual Reality and Intelligent Systems Hangzhou Normal University Hangzhou China Zhejiang University College of Computer Science and Technology Hangzhou China Institute of Software Chinese Academy of Sciences State Key Laboratory of Computer Science and Beijing Key Lab of Human-Computer Interaction Beijing China Nanjing University of Information Science and Technology School of Artificial Intelligence Nanjing China

ISBN: (数字)9781665479110

ISBN: (纸本)9781665479110

Augmented reality technology has been widely used in experimental education. Augmented reality provides virtual-real integration, real-Time interaction and three-dimensional immersion, which provides a new development direction for simulating the teaching environment and promoting learning interaction. We have developed an MR experiment of diluting concentrated sulfuric acid, which helps students learn experimental manipulations and scientific concepts before conducting real chemical experiments. Virtual experiments can avoid the risks of real chemical experiments and reduce the waste of chemical materials. At the same time, we correctly render the occlusion relationship between the hand, the beaker and the virtual liquid, providing a realistic experimental effect. The tracking of multiple cameras allows students to interact more naturally. We compared the availability and students' attitudes of three virtual experiments about diluting concentrated sulfuric acid. The results show that the usability of the MR experimental system reaches the level of user satisfaction. The realistic visual effects and natural interaction method of the MR experiment have been recognized by the students. © 2022 IEEE.

关键词： Students

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Enhancing Emotional Experience by Building Emotional Virtual Characters in VR Volleyball Games

Enhancing Emotional Experience by Building Emotional Virtual...

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作者： Bai, Zechen Yao, Naiming Mishra, Nidhi Chen, Hui Wang, Hongan Magnenat Thalmann, Nadia Beijing Key Laboratory of Human-Computer Interaction Institute of Software Chinese Academy of Sciences Beijing China School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China Institute for Media Innovation Nanyang Technological University Singapore Singapore

Virtual reality (VR) volleyball games can provide an immersive entertainment experience and facilitate users to get familiar with game rules. In real world, players often experience emotions from scores, strokes, passes, and the influence from their teammates or opponents, and so forth. However, seldom studies are carried out for this emotional experience in a virtual environment, as most VR volleyball games mainly concentrate on the game playing, such as body movements. In this article, we propose to enhance emotional experience by building emotional virtual characters in VR volleyball games. The virtual characters cannot only arouse their emotions but also express their facial expressions according to the game situation. Emotion patterns are learned from real-world volleyball matches. The results demonstrate that our framework has great potential to enhance the user's emotional experience and engagement. © 2021 John Wiley & Sons, Ltd.

关键词： Sports

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