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Skeleton-based Action Recognition Using Two-stream Graph Convolutional Network with Pose Refinement 41

Skeleton-based Action Recognition Using Two-stream Graph Con...

引用

第41届中国控制会议

作者： Biao Zheng Luefeng Chen Min Wu Witold Pedrycz Kaoru Hirota School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Department of Electrical and Computer Engineering University of Alberta Tokyo Institute of Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

With the development of science and technology,graph convolutional network has made great progress in improving the accuracy of action ***,there still exists some deficiencies in current ***,the human skeleton point coordinates entering into the network are barely refined,which may cause large ***,the second-order information(the length and direction of bones),which can reflect action characteristics discriminatively,is rarely *** solve the above issues,a two stream graph convolutional network with pose refinement for skeleton based action recognition is ***,we use an adaptive block to to help improve the *** test our method on Kinetics dataset and the experiment show it can get better results than some recent methods,which plays a positive role in future research.

关键词： Graph convolutional network Pose refinement Skeleton based action recognition Adaptive block

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Q-learning-based space target selection for CNS/INS integrated navigation

Q-learning-based space target selection for CNS/INS integrat...

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Chinese control and Decision Conference, CCDC

作者： Dong Wang Jing Yang Kai Xiong School of Automation Science and Electrical Engineering Beihang University Beijing China Science and Technology on Space Intelligent Control Laboratory Beijing Institute of Control Engineering Beijing China

ISBN: (数字)9798350387780

ISBN: (纸本)9798350387797

To solve the problem that intermittent celestial observation will hamper the navigation accuracy of celestial and inertial integrated navigation system (CNS/INS), a Q-learning-based space target selection method is proposed. The visibility situation of space targets is analyzed under given flight mission, which lays the foundation for subsequent pointing optimization. Q-learning algorithm is employed to optimize the sequence of visible space target. The reward function is designed based on the trace of Fisher information matrix and the rotation angle of optical axis which could make a synthetic balance between navigation accuracy and rotation cost. By setting the optimized pointing sequence to CNS/INS integrated navigation system, unintermittent celestial observation can be achieved to guarantee filtering performance with relatively low rotation cost, which has a certain value of practical engineering application. Comparative simulation experiments demonstrate the effectiveness of the proposed method in terms of navigation accuracy and rotation cost.

关键词： Optical filters Accuracy Costs Q-learning Navigation Filtering Space missions

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Developing an Integrated Cognitive Test (ICT) for Computerized Assessment of Cognitive Impairment Risk 15

Developing an Integrated Cognitive Test (ICT) for Computeriz...

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15th Biomedical engineering International Conference, BMEiCON 2023

作者： Limpornchitwilai, Warissara Paengkumhag, Chatchai Jutharee, Wisanu Chamnongthai, Kosin Kaewkamnerdpong, Boonserm King Mongkut's University of Technology Thonburi Biological Engineering Program Faculty of Engineering Bangkok Thailand King Mongkut's University of Technology Thonburi Institute of Field Robotics and Automation Bangkok Thailand King Mongkut's University of Technology Thonburi Department of Electrical Engineering Bangkok Thailand

ISBN: (纸本)9798350345247

In an aging society, dementia is a notable issue that occurs as individuals grow older, impacting cognitive ability and emotional well-being. This has led to the development of cognitive assessment tools to facilitate early detection of cognitive impairment. Limited utilization of computerized tests across different countries is due to the mismatch of existing computerized tests between the educational and cultural backgrounds of the elderly;this study sought to address this issue by developing the Integrated Cognitive Test (ICT). ICT is designed as a computerized tool for assessing the risk of cognitive impairment in Thai older adults with an easy-to-use interface. Thirty-six elderly participants with diverse education levels and without prior cognitive impairment diagnoses participated in the study. They completed MoCA, MMSE, and ICT in a single-day experiment. The scores, reaction time, and overall completion time were recorded for analysis. The study found significant differences between ICT and MMSE scores (p © 2023 IEEE.

关键词： Decision trees

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Prediction of Remaining Useful Life Based on SSA-RVM-PF Method for Lithium-ion Battery 5

Prediction of Remaining Useful Life Based on SSA-RVM-PF Meth...

引用

5th International Symposium on Autonomous Systems, ISAS 2022

作者： Zhou, Meng Wang, Jing Cai, Chang Wang, Chang North China University of Technology School of Electrical and Control Engineering Beijing China Beijing Aerospace Automation Research Institute Beijing China

ISBN: (纸本)9781665487085

To improve the prediction accuracy of the remaining useful life of lithium-ion battery, a novel SSA-RVM-PF prediction method is proposed. The key prediction mechanism of the proposed method is based on the relevance vector machine (RVM) method. Based on the strong regression ability of RVM, the optimal degradation trajectory of battery capacity can be predicted. Meanwhile, a sparrow search algorithm (SSA) is used to optimize the kernel function parameters of RVM method. Furthermore, a particle filtering (PF) strategy is constructed based on the degradation trajectory, in which the state space model. Simulation results show that the proposed prediction method has the characteristics of high fitting degree of state tracking and high prediction accuracy. © 2022 IEEE.

关键词： Lithium-ion batteries

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The control of Tandem Robot Based on the OpenPose Human Key Points

The Control of Tandem Robot Based on the OpenPose Human Key ...

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International Conference on Guidance, Navigation and control, ICGNC 2020

作者： He, Liyang Fu, Li Wang, Lingling Li, Yuan School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Experimental Teaching Demonstration Center of Mechanical an Control Engineering Beihang University Beijing100191 China

ISBN: (纸本)9789811581540

Aiming at the trajectory control of the tandem robots, this paper proposes a scheme for real-time guidance of the joint position of the end of the tandem robots by using the 3D human body skeleton key points. The scheme is based on the algorithm of the OpenPose which can estimate the depth information of the image, generate the 3D human skeleton from the 2D human bone shape by using a monocular camera. And we use the human wrist coordinates in Cartesian coordinates as the control source to guide the end joint position of the tandem robots, guiding the actions of the tandem robots in real time. Due to the use of monocular cameras, our scheme has a higher cost performance than multi-eye vision systems and complex sensor systems. Our scheme can make the robot imitate human behavior in a human-like manner, such as the task of writing, which is full of human intelligence. At the same time we propose a new solutions for intelligent control of robots. In this paper, we use the OpenPose to extract the coordinates of human body key points, analyze and optimize the performance of it in controlling the tandem robot. Finally, we verify the results combined with the robot virtual simulation experiment platform. © 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Cameras

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The Design Optimization of the High-Frequency Planar Transformers for Electric Vehicle Chargers

The Design Optimization of the High-Frequency Planar Transfo...

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China International electrical and Energy Conference (CIEEC)

作者： Li Zhang Min Shen Xiaozhou Wang Shuang Zhao Helong Li Zhiqing Yang Lijian Ding School of Electrical and Automation Engineering Hefei University of Technology HeFei China School of Intelligent Manufacturing and Control Engineer Qilu Institute of Technolgy Jinan China School of Electrical and Automation Engineering Hefei University of Technology

ISBN: (数字)9798350359558

ISBN: (纸本)9798350359565

Electric vehicle chargers can be divided into high-voltage DC (HVDC) system for charging power battery and low-voltage DC (LVDC) system for supplying low-voltage battery. Since the next generation EVs is getting smarter, they calls for chargers with higher power rating, higher power density and reduced loss which poses challenges for the LVDC systems design. In this paper, LLC resonant DC/DC converter is selected for HVDC system and two-stage converter with a Buck/Boost converter and an SRC converter is used for LVDC system. Circuit parameter design and high frequency (HF) planar transformer design are conducted for the aforementioned two kinds of converters respectively. For HVDC system, a transformer integrating resonant inductance and magnetizing inductance on a core is designed, and for LVDC system, a quarter-turn transformer is designed. The rationality and high efficiency of the two high HF planar transformer designs are verified by simulation and experiment results.

关键词： Inductance Low voltage HVDC transmission Magnetic resonance Transformer cores Transformers Electric vehicles

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Optimization of Digital Twin Workshop Scheduling Problem Based on Genetic Algorithm 37

Optimization of Digital Twin Workshop Scheduling Problem Bas...

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37th Youth Academic Annual Conference of Chinese Association of automation, YAC 2022

作者： Guan, Yong Wang, Guoshun Bing, Zhigang Qi, Xinyue Hou, Zhaohao Liu, Mengxin Tianjin Key Laboratory of Information Sensing & Intelligent Control Tianjin University of Technology and Education School of Automation and Electrical Engineering Tianjin China

ISBN: (纸本)9781665465366

Since traditional shop scheduling methods are mostly optimization methods based on scheduling rules and bottlenecks, it is difficult to obtain the global optimum when dealing with large-scale global optimization problems. As a result, an improved genetic algorithm based digital twin flexible job shop scheduling method is proposed. In the actual production process, genetic algorithm is used to generate the initial plan of flexible job shop scheduling;a digital twin flexible job shop scheduling model is established, with real-time interaction between virtual and physical workshops;the data resources and performance of the workshop are predicted in the virtual workshop;use the digital twin model is used to solve the impact of emergencies such as machine tool failures in the production environment on the production process of workpieces. Combining the workshop data with the workshop production scheduling process experiment, the experiment shows that the flexible job shop scheduling problem solved by genetic algorithm can effectively screen the key parameters, optimize the system performance, and effectively improve the on-time completion level of the workpiece. © 2022 IEEE.

关键词： Genetic algorithms

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A Comparative Study of TDLAS-based UAV Plume Tracing Algorithms 5

A Comparative Study of TDLAS-based UAV Plume Tracing Algorit...

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5th International Symposium on Autonomous Systems, ISAS 2022

作者： Xie, Fu-Ning Li, Ji-Gong Yang, Jing Tianjin University of Technology and Education School of Automation and Electrical Engineering Tianjin Key Laboratory of Information Sensing and Intelligent Control Tianjin China

ISBN: (纸本)9781665487085

In this paper, we proposed a method that can be applied to solve the problem of plume tracing, in which a TDLAS gas sensor was installed on an unmanned rotorcraft to perform conical rotation scanning (CRS) to search for the plume, and compared with the Spiral-Surge algorithm. The TDLAS was installed on a three-axis aerial gimbal and it can maintain an angle to the vertical direction. While the drone is powered on and flying, by adjusting the yaw of the gimbal, the TDLAS continuously rotates and scans the three-dimensional space below the UAV. According to the time series of concentration line integrals of the odor detected in real-time during the flight, the UAV plans the path for finding the plume and tracing the plume, gradually approach the odor source and finally estimate its location. In the comparison on the CPTS-3D simulation platform, the detection direction of the TDLAS was a constant angle to the vertical direction in the CRS algorithm, whereas in the spiral-surge algorithm, the detection direction of TDLAS kept perpendicular to the ground. The simulation results show that, compared to the Spiral-Surge algorithm, the CRS algorithm proposed in this paper can find the plume in less time and has a higher success rate, and takes less average time to complete the whole odor source search process. © 2022 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Research on Autonomous Foot Movement Recognition Based on SVM 2022

Research on Autonomous Foot Movement Recognition Based on SV...

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7th International Conference on Multimedia and Image Processing, ICMIP 2022

作者： Meng, Tongning Zhao, Li Zhang, Zhiwen He, Xinglin Tianjin Key Laboratory of Information Sensing and Intelligent Control School of Automation and Electrical Engineering Intelligent Information Processing Tianjin300222 China

ISBN: (纸本)9781450387408

In order to improve the effectiveness of rehabilitation of stroke patients, active training can be used to treat and recover the patient's foot dyskinesia. Recognizing the different movement characteristics of the feet is an important part of the active rehabilitation of stroke patients. In this paper, the EMG signals of different movements of the right foot are classified and studied. The EMG signals of three different movement states of the foot resting state, foot stretched 15° and foot stretched 45° are collected, absolute mean and filter common space mode were used for feature extraction of EMG signal, and support vector machine (SVM) was used for classification and recognition after extraction. The experimental results show that the classification accuracy rate of resting state-foot-stretched 45° is 89.9%, which exceeds the classification accuracy rate of resting state-foot-stretched 15° of 86.8%. It shows that when the subjects stretch the foot at 45°, more motion units are activated and the characteristics are more obvious than when the feet are stretched at 15°. Therefore, by classifying the characteristics of EMG signals and identifying different autonomic movements of feet, it can be used as the basis for rehabilitation treatment of stroke patients. At the same time, the average classification accuracy of 15°-45 ° and the resting state-15 °-45 ° is above 80%, which confirms the feasibility of the signal processing method and support vector machine classification algorithm used in this paper for the study of automatic foot motion recognition. © 2022 ACM.

关键词： Support vector machines

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The Novel STEM Practice Course and Industrial Robot Educational Platform via University-Middle School Collaboration

The Novel STEM Practice Course and Industrial Robot Educatio...

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International Conference on Guidance, Navigation and control, ICGNC 2020

作者： Wang, Tian Wang, Lingling Fu, Li He, Liyang School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Experimental Teaching Demonstration Center of Mechanical and Control Engineering Beihang University Beijing100191 China

ISBN: (纸本)9789811581540

Nowadays it has become a trend to combining lessons with science, technology, engineering and mathematics (STEM) with the purpose of cultivating STEM talents for national development. In this paper, we present the novel STEM practice course (NSPC) for middle school students, which is based on the industrial robot educational platform (IREP) and developed via University-Middle school collaboration (UMSC). This course is divided into four STEM related scenario-based activities in order to inspire middle school students’ interest in STEM industries. The course based on IREP and UMSC has been implemented in the Experimental School of Beihang University for five times since 2017 and the result shows that it has a perfect effect on arousing students’ curiosity of STEM occupations, especially the robot field. © 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Industrial robots

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