An Adaptive Speed Estimation Method Based on a Strong Tracking Extended Kalman Filter with a Least-Square Algorithm for Induction Motors

Li, Guoyin; Du, Changqing; Sun, Xiaodong; Liu, Jing; Zhong, Yanru

doi:10.6113/jpe.2017.17.1.149

Cited by 28 publications

(7 citation statements)

References 25 publications

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“…The top-down pose estimation algorithm first detects the position of the human body from the screen and then further recognizes the key points of each person [23]. The accuracy of its pose detection is very much dependent on the results of human target detection, but this model can effectively avoid the ambiguous results of the bottom-up human pose estimation algorithm when two people in the frame are too close to each other.…”

Section: Top-down Human Pose Estimation Algorithmmentioning

confidence: 99%

A Practical Study of Basketball Teaching Reform in Colleges and Universities Based on Big Data

Sheng,

Lian,

Pang

2023

Applied Mathematics and Nonlinear Sciences

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In this paper, the human body posture estimation algorithm is used to locate the key points of the human body in the RGB screen, and two human body multi-objective algorithms are used to predict the posture trajectory, and they can overcome the influence of the errors contained in the information recorded by the sensors to a certain extent. Secondly, the spatio-temporal graph convolutional neural network is used to identify human behavior and extract behavioral action features, and through the analysis of the action features, we understand the basketball skill level of the students and put forward the reform strategy of college basketball teaching. Sixty students from the basketball minor class at University Q’s College of Physical Education were selected as research subjects for teaching practice. The results show that the average scores of the students in spot-up shooting, half-court folding dribbling and marching one-handed over-the-shoulder shooting after the reform are higher than those before the reform by 1.80, 1.08, and 1.85, which indicates that the reform of basketball teaching based on big data can improve the students’ interest in learning and their training scores, and enhance the students’ basketball skill level.

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Section: Top-down Human Pose Estimation Algorithmmentioning

confidence: 99%

A Practical Study of Basketball Teaching Reform in Colleges and Universities Based on Big Data

Sheng,

Lian,

Pang

2023

Applied Mathematics and Nonlinear Sciences

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“…Kalman filter is a dynamic state linear programming process, each prediction is made on the basis of the previous state, and only the previous state is retained after the best prediction state is determined. As a result, systems employing Kalman filters have small storage space and thus have the ability to make fast, real-time predictions [26].…”

Section: Kalman Filter Algorithmmentioning

confidence: 99%

Moving Target Detection Technology Based on UAV Vision

Cheng¹,

Qin²,

Chen³

et al. 2022

Wireless Communications and Mobile Computing

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The detection of moving objects by machine vision is a hot research direction in recent years. It is widely used in military, medical, transportation, and agriculture. With the rapid development of UAV technology, as well as the high mobility of UAVs and the wide range of high-altitude vision, the target detection technology based on UAV vision is applied to traffic management such as vehicle tracking and detection of vehicle violations. The moving target detection technology in this study is based on the YOLOv3 algorithm. It implements moving vehicle tracking by means of Mean-Shift and Kalman filtering. In this paper, the Gaussian background difference technology is used to analyze the illegal behavior of the vehicle, and the color feature extraction technology is used to identify and locate the license plate, and the information of the illegal vehicle is entered into the database. The experiment compares the moving target detection of UAV vision and the traditional target detection in four aspects: recognition accuracy, recognition speed, manual time, and divergent results. The results show that the average accuracy rates of UAV vision-based moving target detection and traditional pattern recognition are 98.4% and 87.8%, respectively. The recognition speeds are 24.9 (vehicles/sec) and 10.6 (vehicles/sec), respectively. However, the artificial time and divergence results of moving target detection based on UAV vision are only 1/3 of the traditional mode. The moving target detection based on UAV vision has a better moving target detection ability.

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“…The Arduino Mega is selected as the central controller to convey the digital data to a computer using the UART protocol. Extended Kalman filter (EKF) and Least Squares Estimation (LSQ) have been developed to localize the needle tip positions using activate sensing data and experimental models [37], [38]. The GUI has been developed under the Unity engine to illustrate the 3D coordinates of needle tip position [39].…”

Section: System Architecturementioning

confidence: 99%

The Development of a Virtual Simulator for a Novel Design Non-Permanent Magnetic Needle Based Eye Anesthesia Training System

Borvorntanajanya

Suthakorn

2022

IEEE Access

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Ophthalmic anesthesia plays a crucial role in eye surgery. However, the conventional practice of this process is a blind procedure, in which a needle is inserted blindly into the cadaver. This paper introduces a needle tip tracking system for ophthalmic anesthesia training focusing on the Retrobulbar block procedure. The study presents a development in a prototyped system using Hall effect sensor arrays to track a 5D magnetized needle tip (X, Y, Z, θ, φ ). The orbital structure is fabricated with embedded Hall effect sensors. The extended Kalman filter and least square method are developed to select the observation model from multiple training sets and to estimate the needle tip coordinates. The robotic manipulator (ABB YUMI) is used to model the training set between the distance and the initial angle of the magnetized needle.The developed system provides the needle tip position with an RMS of Euclidean distance error up to 1.7398 ± 0.5288 mm. As a result, the system is capable of providing the needle tip positions with an acceptable error comparing the system's accuracy with the size of the retrobulbar target space and important anatomies.

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An Adaptive Speed Estimation Method Based on a Strong Tracking Extended Kalman Filter with a Least-Square Algorithm for Induction Motors

Cited by 28 publications

References 25 publications

A Practical Study of Basketball Teaching Reform in Colleges and Universities Based on Big Data

A Practical Study of Basketball Teaching Reform in Colleges and Universities Based on Big Data

Moving Target Detection Technology Based on UAV Vision

The Development of a Virtual Simulator for a Novel Design Non-Permanent Magnetic Needle Based Eye Anesthesia Training System

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