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相关概念视频

Somatosensation01:33

Somatosensation

36.9K
The somatosensory system relays sensory information from the skin, mucous membranes, limbs, and joints. Somatosensation is more familiarly known as the sense of touch. A typical somatosensory pathway includes three types of long neurons: primary, secondary, and tertiary. Primary neurons have cell bodies located near the spinal cord in groups of neurons called dorsal root ganglia. The sensory neurons of ganglia innervate designated areas of skin called dermatomes.
36.9K
Sensory Functions of the Skin01:16

Sensory Functions of the Skin

9.1K
The skin is the largest organ of the human body and plays a crucial role in our sensory perception. It contains a vast network of sensory receptors that contribute to the skin's protective function by perceiving physical, biological, and environmental cues and generating relevant responses.
There are two main categories of receptors on the skin: capsulated and non-capsulated. The non-capsulated ones are mainly the pain receptors. The capsulated ones can be further categorized based on the...
9.1K
Motor and Sensory Areas of the Cortex01:14

Motor and Sensory Areas of the Cortex

8.1K
The cerebral cortex, the brain's outermost layer, is pivotal in processing complex cognitive tasks, emotions, and various sensory inputs and executing voluntary motor activities. This intricate structure is divided into three primary functional areas: the motor areas, sensory areas, and association areas.
Motor Areas
The motor areas located in the frontal lobe are central to controlling voluntary movements. This region is further subdivided into the primary motor cortex and the premotor cortex....
8.1K
Sensory Perception: Organization of the Somatosensory System01:11

Sensory Perception: Organization of the Somatosensory System

8.4K
The somatosensory system is the central and peripheral nervous system component that senses and processes touch, pressure, pain, temperature, and body position or proprioception. The process of sensation takes place at three levels:
The receptor level:
The receptor level is the first stage of sensation. It involves the detection of a stimulus by specialized sensory receptors. The stimulus must arrive within the receptor's receptive field. Next, the receptor converts the energy of the...
8.4K
Introduction to Special Senses01:26

Introduction to Special Senses

6.7K
Sensory receptors play an integral part in comprehending our external and internal environments. They receive diverse stimuli, converting them into the nervous system's electrochemical signals. This conversion occurs as the stimulus alters the sensory neuron's cell membrane potential, instigating the generation of an action potential. This action potential is subsequently transmitted to the central nervous system (CNS), which integrates with other sensory data or higher cognitive...
6.7K
Somatosensory, Motor, and Association Cortex01:23

Somatosensory, Motor, and Association Cortex

5.0K
The somatosensory cortex in the parietal lobes is crucial for interpreting sensory data such as touch, temperature, and proprioception. The somatosensory cortex, situated in the parietal lobes, plays a vital role in interpreting sensory information like touch, temperature, and proprioception—awareness of body position. This specialized brain region features an organized structure wherein neurons at the top primarily process sensations originating from the lower body. In contrast, those at...
5.0K

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Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
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强大的人类机动和本地化活动识别在多感官上.

Danyal Khan1, Mohammed Alonazi2, Maha Abdelhaq3

  • 1Department of Computer Science, Air University, Islamabad, Pakistan.

Frontiers in physiology
|March 7, 2024
PubMed
概括

本研究介绍了一种使用智能手机传感器和深度学习的先进人类活动识别 (HAR) 方法. 该系统准确地识别出机动和室内/室外活动,显示出实际应用的潜力.

关键词:
这是GPS的GPSGPS的GPS.这是一个GPS传感器.卷积神经网络是一种卷积神经网络.卷积神经网络 (CNN) 是一种神经网络.深度学习是一种深度学习.人类活动的认可 人类活动的认可长期短期记忆力 人类活动识别识别这是一个智能IMU.

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相关实验视频

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科学领域:

  • 计算机科学 计算机科学
  • 机器学习 机器学习
  • 信号处理 信号处理

背景情况:

  • 人类活动识别 (HAR) 对医疗保健,体育,机器人和安全至关重要.
  • 像惯性测量单元 (IMU) 和环境传感器这样的可穿戴设备可以实现先进的HAR.
  • 现有的方法需要在分类各种人类活动时提高准确性和效率.

研究的目的:

  • 为人类活动和本地化识别开发先进的方法.
  • 利用智能手机传感器数据 (IMU,环境,GPS,音频) 进行增强的HAR.
  • 探索最先进的深度学习技术,用于准确的活动分类.

主要方法:

  • 利用了机会和超感官基准数据集.
  • 集成的新功能提取信号,GPS和音频数据.
  • 使用卷积神经网络 (CNN) 用于室内/室外活动识别和长短期记忆 (LSTM) 网络用于移动活动识别.
  • 开发了一个混合系统,将机器学习和深度学习功能结合起来.

主要成果:

  • 在"机遇"数据集上,机动活动的准确度达到了97%.
  • 在超感官数据集上实现了89%的运动活动精度.
  • 在超感官数据集上实现了室内/室外活动识别96%的准确性.

结论:

  • 拟议的方法论在人类活动和定位识别方面表现出高效率和准确性.
  • 混合系统通过整合各种传感器数据和学习技术,有效地提高了HAR的性能.
  • 这些发现显示出在各种领域的实际应用的巨大潜力.