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相关概念视频

Hierarchy of Motor Control01:18

Hierarchy of Motor Control

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The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
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End Point Prediction: Gran Plot01:07

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A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
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Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

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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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A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
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Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
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Relative Motion Analysis using Rotating Axes01:25

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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.
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AMHGCN:适应性的多层超图形卷积网络用于人类运动预测.

Jinkai Li1, Jinghua Wang1, Lian Wu2

  • 1School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China.

Neural networks : the official journal of the International Neural Network Society
|February 2, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一个可适应的多级超图卷积网络 (AMHGCN),以更准确地预测人类运动. 这种新的方法捕捉了复杂的关节依赖关系,改善了机器人技术和自动驾驶等应用的预测.

关键词:
图表 卷积网络 卷积网络人类运动预测预测超图表的表示形式.

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科学领域:

  • 计算机视觉 计算机视觉
  • 人工智能的人工智能
  • 机器人技术 机器人技术 机器人技术

背景情况:

  • 人类运动预测对于自动驾驶汽车和人机交互等应用至关重要.
  • 目前使用不受限制的全连接图的方法忽略了固有的关联依赖性和单一级特征提取.
  • 这限制了对复杂的人体关系和预测准确性的利用.

研究的目的:

  • 为了解决当前人类运动预测技术的局限性.
  • 提出一种新的网络架构,能够捕捉到人类骨架中的多层次依赖关系.
  • 为了提高人类运动预测的准确性和合理性.

主要方法:

  • 引入了一个自适应的多级超图形卷积网络 (AMHGCN).
  • 采用了四个层次的超图表示:联合,部分,组件和全局.
  • 利用逆损失函数进行数据增强,通过从未来的姿势预测历史姿势.

主要成果:

  • 在人类运动预测方面,AMHGCN取得了最先进的性能.
  • 展示了捕捉固有的动力,部分水平,语义和长距离依赖性的卓越能力.
  • 在Human3.6M,CMU-Mocap和3DPW基准标准上验证了有效性.

结论:

  • 拟议的AMHGCN通过多层次的超图有效地建模了复杂的人体关系.
  • 这种方法显著提高了人类运动预测的准确性.
  • 对于需要精确的运动理解的现实应用,AMHGCN提供了一个有前途的进步.