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相关概念视频

Development of the Limb Synovial Joints01:07

Development of the Limb Synovial Joints

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Joints form during embryonic development in conjunction with the formation and growth of the associated bones. The embryonic tissue that gives rise to all bones, cartilage, and connective tissues of the body is called mesenchyme.
The mesenchymal stem cells differentiate into chondrocytes that form the hyaline cartilage, and later the cartilaginous model of the bone. This model further transforms into a bone. This process is known as endochondral ossification.
During development, the limbs...
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Torque01:10

Torque

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Torque is an important quantity for describing the dynamics of a rotating rigid body. We see the application of torque in many ways in the world, such as when pressing the accelerator in a car, which causes the engine to apply additional torque on the drivetrain. Here, we define torque and provide a framework to create an equation to calculate torque for a rigid body with fixed-axis rotation.
Torque can be considered as the rotational counterpart to force. Since forces change the translational...
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Nuclear Fusion02:45

Nuclear Fusion

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The process of converting very light nuclei into heavier nuclei is also accompanied by the conversion of mass into large amounts of energy, a process called fusion. The principal source of energy in the sun is a net fusion reaction in which four hydrogen nuclei fuse and ultimately produce one helium nucleus and two positrons.
A helium nucleus has a mass that is 0.7% less than that of four hydrogen nuclei; this lost mass is converted into energy during the fusion. This reaction produces about...
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Torque Free Motion01:15

Torque Free Motion

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The torque-free motion refers to the movement of a rigid body in space when no external torques are acting upon it. This type of motion can be observed in environments where there are no external forces or frictions, like in outer space. For example, a rotation of Mars in space is a torque-free motion. Mars is an axisymmetric object, meaning it has an axis of symmetry along which it rotates, designated as the z-axis. The rotating frame of reference is defined such that the center of mass of...
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Net Torque Calculations01:19

Net Torque Calculations

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When a mechanic tries to remove a hex nut with a wrench, it is easier if the force is applied at the farthest end of the wrench handle. The lever arm is the distance from the pivot point (the hex nut in this case) to the person’s hand. If this distance is large, the torque is higher. Only the component of the force perpendicular to the lever arm contributes to the torque. Therefore, pushing the wrench perpendicular to the lever arm is more advantageous. If multiple people apply force to...
11.5K
Structural Joints: Synovial Joints01:16

Structural Joints: Synovial Joints

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Synovial joints are the most common type of joint in the body. A key structural characteristic for a synovial joint is the presence of a joint cavity. This fluid-filled space is where the articulating surfaces of the bones contact each other. Also, unlike fibrous or cartilaginous joints, the articulating bone surfaces at a synovial joint are not directly connected to each other with fibrous connective tissue or cartilage. This gives the bones of a synovial joint the ability to move smoothly...
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相关实验视频

Updated: Feb 6, 2026

Author Spotlight: Assessing Brain Activity in Robotic-Assisted Lower Limb Rehabilitation Using fNIRS
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双分支融合网络:下肢多关节扭矩的精确解码

Fei Liang, Xin Shi, Hao Lu

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    概括
    此摘要是机器生成的。

    这项研究引入了一种新的双分支深度学习框架,用于准确的实时下肢关节扭矩估计. 该方法通过提供快速可靠的自适应扭矩控制来增强人类外骨的相互作用.

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    相关实验视频

    Last Updated: Feb 6, 2026

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    科学领域:

    • 生物医学工程 生物医学工程
    • 机器人技术 机器人技术 机器人技术
    • 机器学习 机器学习

    背景情况:

    • 准确的实时下肢关节扭矩估计对于适应性人体外骨架相互作用至关重要.
    • 现有的方法难以应对多样化的机动和动态环境.

    研究的目的:

    • 开发一种新的框架,用于在各种运动条件下准确,实时地估计下肢关节的扭矩.
    • 通过精确的扭矩控制来改善适应性人外骨相互作用.

    主要方法:

    • 开发了一个双分支架构,将时间卷积网络 (TCN) 和变压器结合起来.
    • TCN处理了局部时间动态,而变形金刚捕获了全球依赖关系.
    • 用于特征合成,采用了具有残留增强的联合特定,任务意识的残留融合机制.

    主要成果:

    • 该框架在12个运动模式中实现了高精度,具有低根平均平方误差 (例如,膝盖0.1405Nm/kg) 和高的皮尔森相关系数 (例如,脚0.9904).
    • 保持了4.2912ms的低延迟,证明了计算效率.
    • 在公共数据集上表现出强大的适应能力.

    结论:

    • 提出的方法有效地平衡了高估计准确度与实时应用所需的计算效率.
    • 它成功地解决了人类外骨架系统适应动态环境的局限性.
    • 这一进步为自适应式外骨扭矩控制提供了快速,可靠的解决方案,增强了自然的人机交互.