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相关概念视频

Calculation of Electric Flux01:25

Calculation of Electric Flux

Consider the electric field of an oppositely charged, parallel-plate system and an imaginary box between those plates. Let the bottom face of the box be ABCD, and the top face be FGHK. The electric field between the plates is uniform and points from the positive plate toward the negative plate. The calculation of this field's flux through the box's various faces shows that the net flux through the box is zero. Why does the flux cancel out here?
Electric Field of a Charged Disk01:23

Electric Field of a Charged Disk

The simplest case of a surface charge distribution is the uniformly charged disk. Calculating its electric field also helps us calculate the electric field of a large plane of charge.
The system's symmetry is in the cylindrical directions across the plane of the charge. As a result, the electric fields created by various surface charge elements nullify each other in the direction parallel to the surface. Thereby, the resulting electric field is perpendicular to the plane. Since the disk is...
Frictional Forces on Flat Belts01:28

Frictional Forces on Flat Belts

Flat belts are commonly used in various industrial applications for transmitting power from one pulley to another. When a flat belt is wrapped around a set of pulleys, it experiences different tensions at the driving pulley ends due to the friction between the belt and pulley surface. When the pulley moves in a counterclockwise direction, the tension T2 on the opposite side of the pulley where the belt is moving away from is higher than the tension T1 on the side where the belt is moving...
Electro-mechanical Systems01:19

Electro-mechanical Systems

Electromechanical systems are intricate configurations that effectively combine electrical and mechanical elements to achieve a desired outcome. Central to many of these systems is the DC motor, a device that converts electrical energy into mechanical motion, enabling various applications ranging from simple fans to complex robotic mechanisms.
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...
Relation between Mathematical Equations and Block Diagrams01:20

Relation between Mathematical Equations and Block Diagrams

In a spring-mass-damper system, the second-order differential equation describes the dynamic behavior of the system. When transformed into the Laplace domain under zero initial conditions, this equation can be effectively analyzed and manipulated. The transformation into the Laplace domain converts differential equations into algebraic equations, simplifying the process of isolating the output.
The Power Flow Problem and Solution01:26

The Power Flow Problem and Solution

Power flow problem analysis is fundamental for determining real and reactive power flows in network components, such as transmission lines, transformers, and loads. The power system's single-line diagram provides data on the bus, transmission line, and transformer. Each bus k in the system is characterized by four key variables: voltage magnitude Vk​, phase angle δk​, real power Pk​, and reactive power Qk​. Two of these four variables are inputs, while the power flow program computes the...

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相关实验视频

Updated: May 20, 2026

Three-Dimensional Finger Motion Tracking during Needling: A Solution for the Kinematic Analysis of Acupuncture Manipulation
08:27

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连续卡尔曼估计方法指动力学跟踪从表面肌电图.

Haoshi Zhang1,2, Boxing Peng1,2, Lan Tian1

  • 1CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), Shenzhen 518055, China.

Cyborg and bionic systems (Washington, D.C.)
|May 16, 2024
PubMed
概括

本研究介绍了一种连续的卡尔曼估计方法,用于从表面电肌图 (sEMG) 中解码手动意图. 这种新的方法准确地估计了多个自由度 (DOFs) 的指部动力学实时.

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Last Updated: May 20, 2026

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科学领域:

  • 生物医学工程 生物医学工程
  • 神经科学是一个神经科学.
  • 机器人技术 机器人技术 机器人技术

背景情况:

  • 从表面电肌图 (sEMG) 解读手动意图对于直观的人机交互至关重要.
  • 目前用于连续动力学估计的现有方法在准确性和计算负载方面面临挑战.
  • 卡尔曼估计为实时系统提供了适应性和易于实施.

研究的目的:

  • 引入一个连续的卡尔曼估计方法,用于从sEMG估计多个自由度 (DOFs) 指动力学.
  • 验证拟议方法的准确性和计算效率.
  • 探索这项技术在自然和直观的连续手指运动估计方面的潜力.

主要方法:

  • 开发了一种使用sEMG和联合角度作为输入和输出的连续卡尔曼估计模型.
  • 采用模型参数训练方法,同时推断多个DOF指动力学.
  • 使用公开可访问的数据库验证了该方法.

主要成果:

  • 在验证连续估计方法时获得0.73的相关系数 (CC).
  • 平均计算时间低于每窗口0.01秒.
  • 成功训练卡尔曼模型参数使用超过45,000个窗口.

结论:

  • 提出的连续卡尔曼估计方法有效地解码来自sEMG的多个DOF指动力学.
  • 该技术为实时运动意图识别提供了计算效率高,准确的解决方案.
  • 这项试点研究突出了推进连续手指运动估计技术的巨大潜力.