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相关概念视频

Gyroscope: Precession01:24

Gyroscope: Precession

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Precession can be demonstrated effectively through a spinning top. If a spinning top is placed on a flat surface near the surface of the Earth at a vertical angle and is not spinning, it will fall over due to the force of gravity producing a torque acting on its center of mass. However, if the top is spinning on its axis, it precesses about the vertical direction, rather than topple over due to this torque. Precessional motion is a combination of a steady circular motion of the axis and the...
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Gyroscope01:02

Gyroscope

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A gyroscope is defined as a spinning disk in which the axis of rotation is free to assume any orientation. When spinning, the orientation of the spin axis is unaffected by the orientation of the body that encloses it. The body or vehicle enclosing the gyroscope can be moved from place to place, while the orientation of the spin axis remains the same. This makes gyroscopes very useful in navigation, especially where magnetic compasses cannot be used, such as in crewed and crewless spacecraft,...
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Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

436
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
436
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

378
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
378
Relative Motion Analysis using Rotating Axes - Acceleration01:22

Relative Motion Analysis using Rotating Axes - Acceleration

313
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame. The absolute velocity of point B is determined by adding the absolute velocity of point A, the relative velocity of point B in the rotating frame, and the effects caused by the angular velocity within the rotating frame.
Time differentiation is...
313
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

196
Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...
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相关实验视频

Updated: May 14, 2025

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
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Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

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一个快速和低影响的嵌入式定向校正算法用于手势识别手.

Andrea Mongardi1, Fabio Rossi1, Andrea Prestia1

  • 1Department of Electronics and Telecommunications, Politecnico di Torino, 10129 Turin, Italy.

Sensors (Basel, Switzerland)
|April 12, 2025
PubMed
概括

这项研究引入了一种新的算法,用于纠正手势识别的表面电微图 (sEMG) 腕带系统中的传感器位移. 该方法确保了高精度,无论腕带的方向如何,改进了可穿戴的人机界面 (HMI).

关键词:
嵌入式算法嵌入式算法手的手势识别手势识别人机界面 人机界面表面电力学图 (surface electromyography) 是一种表面电力学图.可穿戴的手臂带

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科学领域:

  • 生物医学工程 生物医学工程
  • 人与计算机的交互
  • 信号处理 信号处理

背景情况:

  • 表面电微图 (sEMG) 对于可穿戴的人机接口 (HMI) 在手势识别方面至关重要.
  • 传感器的放置显著影响基于sEMG的系统的性能,对可靠的HMI应用构成挑战.

研究的目的:

  • 为基于sEMG的HMI腕带开发一种快速,低冲击的定向校正算法,以解决传感器位移问题.
  • 为了提高手势识别系统的稳定性和准确性,独立于腕带方向.

主要方法:

  • 引入了一种新的算法,其中包括一个校准阶段,用于腕带方向估计和实时数据校正.
  • 该算法只需要两个不同的手势来激活sEMG,确保硬件和数据库的独立性.
  • 在使用人工神经网络 (ANN) 实现九个手势识别的七通道sEMG腕带系统中实现了算法.

主要成果:

  • 实现了平均预测准确率为93.36%,即使随意的腕带穿着方向.
  • 证明对功耗 (额外500μW) 和延迟 (增加408μs) 的影响最小.
  • 验证了算法的有效性,一般适用性和纠正电极转移问题的效率.

结论:

  • 开发的定向校正算法为提高基于sEMG的HMI的可靠性提供了一个有希望的解决方案.
  • 该算法的效率和与再培训模型的独立性使其非常适合于实际的HMI应用.