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Posture detection of athletes in sports based on posture solving algorithms

SYSTEMS AND SOFT COMPUTING 2024年 6卷

作者： Zhang, Huan Henan Coll Transportat Arts & Sports Dept Zhengzhou 450000 Peoples R China

With the rapid development of science and technology, the field of sports is constantly exploring and applying new technical means to improve the training effect and competitive level of athletes. Among them, the athletes' posture detection technology based on the attitude solving algorithm has been widely concerned in recent years. However, the current attitude solving algorithm has the limitation of low precision and low efficiency. Aiming at this, a new attitude solving algorithm is proposed. Firstly, the coordinate system is determined according to the theory of inertial navigation, and the attitude Angle is obtained by calculating the acceleration and magnetic induction intensity. Then the current attitude matrix is calculated according to the obtained attitude Angle. The initializing quaternion based on the attitude matrix is studied. Then, according to the advantages and defects of the three sensors, a complementary filtering algorithm is proposed for data fusion, so as to reduce the error of the final attitude solution. In order to further improve the accuracy of attitude detection, the complementary filter algorithm and double-layer kalman filter algorithm are combined to process the data, and finally the quaternion is updated. It can be seen that the detection error of the research constructed model is only 9.94%, and its three attitude angle errors are mainly concentrated between -0.5 degrees and 0.5 degrees The model constructed by the research can realize high-precision posture detection, which can provide more scientific and reliable training aids for gymnastics, which has very strict requirements for movements in sports. It has positive significance for the development of sports.

关键词： Sports training Complementary filtering algorithm kalman filtering algorithm Attitude solving Inertial navigation

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Fuzzy Logic-Based Control Strategy for a Battery/Supercapacitor Hybrid Energy Storage System in Electric Vehicles

Fuzzy Logic-Based Control Strategy for a Battery/Supercapaci...

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Chinese Automation Congress (CAC)

作者： Zhou Shengzhe Wang Kai Xue Wen Qingdao Univ Sch Automat & Elect Engn Qingdao 266071 Peoples R China

ISBN: (纸本)9781538635247

In order to optimize the operation status of hybrid energy storage system in electric vehicles, a novel fuzzy logic control strategy is proposed. This strategy adopts kalman filtering algorithm to estimates state of charge (SOC) and state of power (SOP), which can calculate the optimum power and alleviate the errors of SOC effectively. Besides, the framework of the strategy and the model of both battery and supercapacitor are introduced. The proposed control strategy will help to deal with energy storage system problem of relatively short lifespan and poor limited range in electric vehicles. So stability and efficiency of hybrid energy storage system (HESS) improve greatly

关键词： Hybrid energy storage system Energy management system Fuzzy Logic-Based Control kalman filtering algorithm Eectric vehicles

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Design and verification of Zigbee sensor height setting algorithm based on kalman Filter 14

Design and verification of Zigbee sensor height setting algo...

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14th IEEE International Conference on Electronic Measurement and Instruments (ICEMI)

作者： Liu Ning Wei Xiaohui Xu Chen Natl Ocean Technol Ctr Tianjin 300112 Peoples R China

ISBN: (数字)9781728105109

ISBN: (纸本)9781728105109

In order to obtain the meteorological and hydrological parameters of the sea-air boundary layer in real time, calculate and modify the refractive index profile to evaluate the influence of the evaporating waveguide on the propagation of electromagnetic waves at sea, the environmental monitoring and diagnosis system of the evaporating waveguide is designed. The system carries out multi-sensor networking' based on Zigbee technology, which can measure temperature, humidity and air pressure parameters at different levels. Measurement terminal fixed high is the key problem in the process of system design, measurement terminal 9 shaft position sensor, using kalman Filter algorithm to solve attitude, through the terminal and calculating chain cord length measurement terminal height, the experimental results show that the kalman Filter is given under the condition of static and dynamic Angle data is better than that of fast calculating or gyroscope integration results. The algorithm is applied to the measurement system. Under the breeze condition, the height setting error of the measurement terminal is less than 0.3m, which is better than the existing' sonde height setting results.

关键词： Zigbee kalman filtering algorithm CC2530 Wireless Sensor network

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Research on the Effect of Ship's Deck Deflection on Angular Rate Matching Based Transfer Alignment Process

Research on the Effect of Ship's Deck Deflection on Angular ...

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IEEE International Conference on Mechatronics and Automation

作者： Zhou, Weidong Ding, Guoqiang Hao, Yanling Cui, Guangzhao Harbin Engn Univ Coll Automat Harbin 150001 Peoples R China Zhengzhou Univ Light Ind Henan Key Lab Informat Elect Appliances Zhengzhou 450002 Peoples R China

ISBN: (纸本)9781424426928

This paper analyzes reasons of ship-carrier deck deformation and its effect on parameters of SINS Attitude Heading Reference System (SAHRS). With second order Markov stochastic process theory it constructs ship's deck deformation model. According to inertial measurement matching method, it formulates the dynamic system equation and the observation equation based on angular-rate matching algorithm. And then it evaluates the system model with kalman filtering. Furthermore, this paper proposes an iterative filtering system equation according to the property of dynamic system and evaluates the performance with iterative filtering algorithm. From simulation results we can see, the kalman filtering algorithm can effectively eliminate the effect of ship's deck deformation error, decrease the error of transfer alignment system, and significantly improve its precision, similar to that of the iterative filtering method. But in the iterative filtering algorithm, at the initial iteration period, the iterative results can effectively track output value of the system model, and with the iterative number increasing its tracking error increases gradually. So from the perspective of system design requirements the kalman filtering algorithm is superior to the iterative filtering algorithm. Research results in this paper have important theoretical and application value in the study or design of high-precision transfer alignment system based on shipboard.

关键词： Transfer Alignment Inertial Matching algorithm Angular-rate Matching kalman filtering algorithm Iterative filtering algorithm

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Design of Quad-rotor Target Tracking System 30

Design of Quad-rotor Target Tracking System

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30th Chinese Control and Decision Conference (CCDC)

作者： Xiu, Chunbo Zhao, Yalong Wang, Ruosi Tianjin Polytech Univ Sch Elect Engn & Automat Tianjin 300387 Peoples R China

ISBN: (纸本)9781538612446

The accuracy of tracking based on Camshift would decrease due to the similarity between target color and background color or the target is obscured. For the above problems, improved target tracking algorithm based on Camshift is proposed in this paper. The Camshift algorithm is improved by using the contour features of the target, and Camshift search window is updated according to the contour feature of the target. Thus, interference of background and strong light is weakened. kalman filtering algorithm is used to predict the motion state of the tracking target, enhancing the of of tracking when the tracking target is obscured. Experiments show that Camshift is combined with the contour feature of target and make the tracking more effectively under the conditions of background. And the kalman filtering algorithm is used to predict position of the target to make the tracking effectively when the target is obscured.

关键词： Camshift Tracking algorithm kalman filtering algorithm Target Contour

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Comparison between object and pixel level approaches for change detection in multispectral images by using neural networks

Comparison between object and pixel level approaches for cha...

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Conference on Image and Signal Processing for Remote Sensing IX

作者： Nemmour, H Chibani, Y Univ Sci & Technol Houari Boumediene Signal Proc Lab Fac Elect & Comp Sci Algiers 16111 Algeria

ISBN: (纸本)0819451215

We propose in this paper the investigation of the change detection approaches based on the pixel level and the object level. The pixel level approach is based on the simultaneous analysis of multitemporal data, while the object level approach uses a comparative analysis of independently produced classifications of data. Thereby, the comparison is established by using the multilayer neural network classifier. Usually, the backprogation algorithm is used as a training rule. In this paper, we investigate the use of the kalman filtering (KF) as the training algorithm for detecting changes in remotely sensed imagery. By using SPOT images and evaluation criteria, the detailed comparison indicates that the KF algorithm is preferable compared to the BP algorithm in terms of convergence rate, stability and change detection accuracy.

关键词： change detection neural network backpropagation kalman filtering algorithm comparative analysis simultaneous analysis

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Improved Target Tracking algorithm Based on Camshift 30

Improved Target Tracking Algorithm Based on Camshift

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30th Chinese Control and Decision Conference (CCDC)

作者： Xiu, Chunbo Su, Xuemiao Pan, Xiaonan Tianjin Polytechn Univ Sch Elect Engn & Automat Tianjin 300387 Peoples R China

ISBN: (纸本)9781538612446

The accuracy of tracking based on Camshift would decrease due to the similarity between target color and background color or the target is obscured. For the above problems, improved target tracking algorithm based on Camshiff is proposed in this paper. The Camshift algorithm is improved by using the contour features of the target, and Camshift search window is updated according to the contour feature of the target. Thus, interference of background and strong light is weakened. kalman filtering algorithm is used to predict the motion state of the tracking target, enhancing the efficiency of tracking when the tracking target is obscured. Experiments show that Camshift is combined with the contour feature of target and make the tracking more effectively under the conditions of background. And the kalman filtering algorithm is used to predict position of the target to make the tracking effectively when the target is obscured.

关键词： Camshift Tracking algorithm kalman filtering algorithm Target Contour

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The Application of Equipment Positioning System in the Based on the Distributed of Integrated Navigation and Multi-Sensor Data Fusion 2

The Application of Equipment Positioning System in the Based...

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2nd International Conference on Image, Vision and Computing (ICIVC)

作者： Tang, Bin-hui Zhou, Zhen-xing Sichuan Univ Jincheng Coll Dept Comp Sci & Technol Chengdu 610000 Sichuan Peoples R China Representat Off Rocket Mil Dept Palnning Chengdu Sichuan Peoples R China

ISBN: (纸本)9781509062386

With the continuous application of information technology in the military field, the digitalization and automation research of weapon equipment support has been paid more and more attention. Based on the functional characteristics of satellite navigation and positioning system and military geographie information system (hereinafter referred to as "MGIS"), this paper presents a design method of combining the integrated navigation and positioning system with the multi - sensor to the equipment positioning system. The design combines MGIS, satellite positioning communication technology, computer technology and sensor network technology, and uses distributed data fusion method for multi - sensor integrated navigation system, and uses the federal kalman filter algorithm to improve the accuracy and reliability of navigation and positioning system.

关键词： MGIS integrated navigation data fusion kalman filtering algorithm multi - sensor

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GPS/DR Information Fusion for AGV Navigation

GPS/DR Information Fusion for AGV Navigation

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World Automation Congress (WAC)

作者： Wang Hongyu Zhang Xiaoxia Li Xiaolin Han Liuzhu Zhang Jincheng Shenyang Siasun Robot & Automat Co Ltd Shenyang Peoples R China Shenyang Jianzhu Univ Dept Traff & Mech Engn Shenyang Peoples R China

ISBN: (纸本)9781467344975

In this paper, a study on AGV navigation system which is based on GPS/DR information fusion, in order to make AGV realize outdoor navigation with high-precision and low cost. In this system, we apply kalman filtering algorithm on GPS signal and DR signal to make GPS signal and DR signal mutually compensate each other, and play each other advantages, so that we can obtain high-precision positioning data used for AGV navigation. Moreover, we write programs to realize the navigation system for AGV, and apply it for an experiment. At the end of this paper, we show a group of curves for positioning data collected in the experiment and corresponding processing results. Found by comparisons, the positioning accuracy of integrated navigation system than the positioning accuracy of GPS navigation alone increased by 50%.

关键词： kalman filtering algorithm information fusion AGV GPS/DR integrated navigation

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A linear signal filtering smoothing algorithm for ship dynamic positioning

A linear signal filtering smoothing algorithm for ship dynam...

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第三十一届中国控制会议

作者： XIONG Jianbin,WANG Qinruo,LIU Yijun,YE Baoyu,WU Haoyi Guang Dong University of Technology,Guang Zhou,510006,China

The algorithm based on extended kalman filter and in combination with linear smoothing was proposed in this paper,as there are some deviations larger abnormal values in measurement of the ship position *** this method was used to process nonlinear continuous *** was applied to ship dynamic ***,we deep analyze nonlinear model of ship dynamic positioning,then turn it into a linear ***,discrete linear model of ship dynamic positioning, finally,filter using the extended kalman filter algorithm and smooth filtered signal using smoothing linear *** experimental results show that the method was simple,reasonable,effective and easy for real-time applications.

关键词： kalman filtering algorithm linear smoothing algorithm Ship dynamic positioning discretization

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