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68-3: DeepFatigueNet: A Model for Automatic Visual Fatigue Assessment Based on Raw Single-Channel EEG

SID Symposium Digest of Technical Papers 2019年第1期50卷

作者： Yaguang Song Danli Wang Kang Yue Nan Zheng The State Key Laboratory of Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China

Three-dimension (3D) display has become increasingly popular in many fields. However, watching 3D content continuously can lead to visual fatigue that is harmful to users' vision system. Visual fatigue assessment aims at monitoring users' brain states based on the electroencephalogram (EEG) signals to identify different fatigue levels and avoid severe fatigue. Most of existing studies on the modeling of visual fatigue assessment rely on manual features extracted from EEG, which is time-consuming and needs prior knowledge. Convolutional Neural Networks (CNNs) which have been used in computer vision, speech recognition have attracted increasing interest. There is still a lack of attempts to employ end-to-end EEG analysis on visual fatigue assessment. In this paper, we propose a deep learning model DeepFatigueNet to perform automatic feature extraction and classification from raw single-channel EEG. The DeepFatigueNet is evaluated on our own visual fatigue dataset and compared with the state-of-the-art deep learning methods for EEG-based tasks. The overall accuracy of DeepFatigueNet reaches 75.9% on the three-classification task exceeding other models. The experimental results demonstrate the effectiveness of our model and show the potential of deep convolutional neural networks for end-to-end visual fatigue assessment.

关键词： Visual Fatigue Assessment EEG Deep Learning

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Corrections to “A High-Speed Seam Extraction Method Based on the Novel Structured-Light Sensor for Arc Welding Robot: A Review”

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IEEE Sensors Journal 2019年第4期19卷 1590-1590页

作者： Lei Yang En Li Teng Long Junfeng Fan Zize Liang University of Chinese Academy of Sciences Beijing China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

there was an error in the title of [1] ; it is a regular paper, not a review paper. The right title of this article is “A High-Speed Seam Extraction Method Based on the Novel Structured-Light Sensor for Arc Welding ... 详细信息

关键词： Welding Robot sensing systems Fans complex systems

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Parallel Learning:a Perspective and a Framework

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IEEE/CAA Journal of Automatica Sinica 2017年第3期4卷 389-395页

作者： Li Li Yilun Lin Nanning Zheng Fei-Yue Wang Department of Automation TNListTsinghua University IEEE State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences University of Chinese Academy of Sciences Institute of Artificial Intelligence and Robotics(IAIR) Xi'an Jiaotong University Research Center for Computational Experiments and Parallel Systems Technology National University of Defense Technology

The development of machine learning in complex system is hindered by two problems *** first problem is the inefficiency of exploration in state and action space,which leads to the data-hungry of some state-of-art data-driven *** second problem is the lack of a general theory which can be used to analyze and implement a complex learning *** this paper,we proposed a general methods that can address both two *** combine the concepts of descriptive learning,predictive learning,and prescriptive learning into a uniform framework,so as to build a parallel system allowing learning system improved by *** a new perspective of data,knowledge and action,we provide a new methodology called parallel learning to design machine learning system for real-world problems.

关键词： Descriptive learning machine learning parallel learning parallel systems predictive learning prescriptive learning

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The ParallelEye-CS Dataset: Constructing Artificial Scenes for Evaluating the Visual Intelligence of Intelligent Vehicles

The ParallelEye-CS Dataset: Constructing Artificial Scenes f...

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2018 IEEE Intelligent Vehicles Symposium, IV 2018

作者： Li, Xuan Wang, Yutong Wang, Kunfeng Yan, Lan Wang, Fei-Yue School of Automation Beijing Institute of Technology Beijing100081 China State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China Innovation Center for Parallel Vision Qingdao Academy of Intelligent Industries Qingdao266000 China Research Center for Computational Experiments and Parallel Systems Technology National University of Defense Technology Changsha410073 China

ISBN: (纸本)9781538644522

Offline training and testing are playing an essential role in design and evaluation of intelligent vehicle vision algorithms. Nevertheless, long-term inconvenience concerning traditional image datasets is that manually collecting and annotating datasets from real scenes lack testing tasks and diverse environmental conditions. For that virtual datasets can make up for these regrets. In this paper, we propose to construct artificial scenes for evaluating the visual intelligence of intelligent vehicles and generate a new virtual dataset called 'ParallelEye-CS'. First of all, the actual track map data is used to build 3D scene model of Chinese Flagship Intelligent Vehicle Proving Center Area, Changshu. Then, the computer graphics and virtual reality technologies are utilized to simulate the virtual testing tasks according to the Chinese Intelligent Vehicles Future Challenge (IVFC) tasks. Furthermore, the Unity3D platform is used to generate accurate ground-truth labels and change environmental conditions. As a result, we present a viable implementation method for constructing artificial scenes for traffic vision research. The experimental results show that our method is able to generate photorealistic virtual datasets with diverse testing tasks. © 2018 IEEE.

关键词： Intelligent vehicle highway systems

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Design and Implementation of a Magnetically Actuated Miniature Robotic Fish

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IFAC-PapersOnLine 2017年第1期50卷 6851-6856页

作者： Chen X. Wu Z. Zhou C. Yu J. University of Chinese Academy of Sciences Bejing 100049 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

At present, most of bio-inspired robotic fish are designed with large sizes and actuated by electric motors. In this paper, an 89-mm-long robotic fish is designed and built, which is capable of swimming fast and turning flexibly. This miniature robotic fish is intended to be used as a tool for animal behavioral research and special underwater missions. Compared with traditional design, the propulsion system is characterized by no motor, which is a magnetic actuator. Bluetooth low energy is utilized for remote control, allowing convenient operation via smart devices. By means of law of electromagnetic induction, the relationship between current and magnetic induction intensity is explored. Further, a novel tail-beat rhythm for magnetic actuator is proposed. Meanwhile, a dynamic modeling of fishlike swimming is constructed based on a Lagrange approach to analyze its propulsive performance. Finally, aquatic experiments verify the effectiveness of the formulated magnetically actuated design scheme along with the conducted theoretical analyses. © 2017

关键词： Dynamic modeling Magnetic actuator Robotic fish Underwater robot

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Autonomous RC-Car for Education Purpose in iSTEM Projects

Autonomous RC-Car for Education Purpose in iSTEM Projects

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IEEE Symposium on Intelligent Vehicle

作者： WeiHang Feng Yun Pei Bin Hai WuLing Huang XiaoYan Gong Fenghua Zhu Beijing NO.161 High School Jilin University Beijing Institute Of Fashion Technology State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781538644539

Software simulation and real environment running parallel execution is a lately proposed method, which also provides full coverage and convenience to accomplish autonomous driving education purpose. This paper introduces a new high-school iSTEM program of autonomous vehicles education. This program uses a Scaled RC-Car platform with several sensors and Raspberry Pi embedded platform, to build an autonomous driving car in scaled indoor simulation environment. The RC-Car is capable of safely autonomous driving. Many existing algorithms are put together to provide the necessary functions of autonomous driving, such lane detection, obstacle detection, lane following, vehicle control etc. In this paper, we provide the details of this program, hardware and software components of the RC-Car, Deep learning end-to-end approaching of algorithm deployment, and future works.

关键词： Education Autonomous vehicles Roads Sensors Automobiles Software Testing

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Pipeline Scene Reconstruction Based on Image Mosaicing

Pipeline Scene Reconstruction Based on Image Mosaicing

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Chinese control Conference (CCC)

作者： Zishu Gao En Li Lei Yang Zize Liang The University of Chinese Academy of Sciences Institute of Automation Chinese Academy of Sciences Beijing China The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

Robots should be able to perceive the surroundings in the complicated and unknown environment before carrying out further navigation. Consequently, environmental reconstruction is the premise for the robot autonomous operations. In this paper, a pipeline scene reconstruction method based on image mosaicing is proposed for cylindrical pipeline environment. With a wide-angle camera, the image sequence of the pipeline environment is captured. In order to obtain intuitional environmental information around the pipeline, an unwrapped model is proposed to unfold the distorted raw image to corrected flat surface image. By utilizing ORB (Oriented FAST and Rotated BRIEF) and weighted smoothing blending algorithm, image mosaicing with sequence frames are performed to realize scene reconstruction. The experimental results demonstrate that the proposed algorithm can achieve seamless stitching of pipeline image, and the number of keypoints is prominently decreased in comparison to that of FAST operator, while the quality of keypoints is improved. Compared with the classical SIFT and SURF operator, the time-consuming of the algorithm is improved about 2.5 times, which is more suitable for real-time environmental reconstruction.

关键词： Pipelines Lenses Image reconstruction Cameras Robots Feature extraction

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A Dual-Mode Real-Time Lip-Sync System for a Bionic Dinosaur Robot

A Dual-Mode Real-Time Lip-Sync System for a Bionic Dinosaur ...

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Chinese Automation Congress (CAC)

作者： Shuaizheng Yan Jiasheng Hao Zhengxing Wu The State Key Laboratory of Management and Control for Complex Systems Institute of Automation University of Chinese Academy of Sciences Beijing China School of Automation Engineering University of Electronic Science and Technology of China Chengdu China

This paper provides a dual-mode real-time lip-sync system for a bionic dinosaur robot. Different from traditional mono-modality control systems, our system is constructed with different controllers and classifiers in both time domain and frequency domain. Specially, a classifier in time domain is designed to extract the sound features including pitch and intensity. Meanwhile, a nonlinear mapping relationship between time-domain feature parameters and mouth open angles is particularly designed. In time domain, an efficient algorithm consisting of original and modified short-term average amplitude difference function (AMDF) is applied for frequency measurement. With the goal of predicting the curve of mouth open, we train the audio data of dinosaurs to get a frequency classifier by Support Vector Machine with racial basis function (RBF-SVM), which has a relatively high accuracy. Finally, extensive experiments validate the effectiveness of this proposed system on a real bionic dinosaur robot.

关键词： Dinosaurs Robots Mouth Time-domain analysis Face Frequency-domain analysis Feature extraction

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A review of engineering education in China: History, present and future

A review of engineering education in China: History, present...

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2017 ASEE International Forum

作者： Dong, Xisong Liu, Xiwei State Key Laboratory of Management and Control for Complex Systems Institution of Automation Chinese Academy of Sciences China Institute of Smart Education Systems Qingdao Academy of Intelligent Industries Canada

In this globalization and information era, the level of engineering technology represents a country's core competitiveness. With the rapid development of China's industrialization, the high requirement for engineering talents become increasingly urgent. Then, engineering education is facing a great challenge. The history, current situation and problems of engineering education in China are systematically summed up and analyzed in this paper. The challenges and opportunities have also been deeply studied, which constitute the theoretical basis of the sustainable development of engineering education in China. © 2017 American Society for Engineering Education.

关键词： Engineering education

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Design of AI + Curriculum for Primary and Secondary Schools in Qingdao

Design of AI + Curriculum for Primary and Secondary Schools ...

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2018 Chinese Automation Congress, CAC 2018

作者： Han, Xiao Hu, Fang Xiong, Gang Liu, Xiwei Gong, Xiaoyan Niu, Xiaojie Shi, Wanruo Wang, Xinzhu Qingdao Institute of Education Sciences Qingdao China Qingdao No.2 Middle School of Shandong Province Qingdao China Cloud Computing Center Chinese Academy of Sciences Dongguan China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Institute of Smart Education Systems Qingdao Academy of Intelligent Industries Qingdao China Faculty of Education Beijing Normal University Institute of Educational Technology Beijing China

ISBN: (纸本)9781728113128

We are entering a new AI era, and the development of AI technology and popularization of AI education has become the national strategy of China. The primary and secondary school students are the builder of future society, and have strong curiosity and passion to learn new things;therefore, we should make a good preparation of AI education for them and cultivate their basic AI literacy and computational thinking to adapt to the future. In this paper, from the viewpoint of thinking mode and literacy and skill training, a curriculum including basic, project, and practical types is designed. Integrating with the iSTREAM educational system proposed by Chinese Academy of Sciences, exploratory works were shown with some case studies. The applications show that AI education is helpful to enrich the study of primary and secondary school students and to prompt comprehensive quality. © 2018 IEEE.

关键词： Curricula

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