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相关概念视频

Experimental Methods to Study Human Postural Control08:12

Experimental Methods to Study Human Postural Control

10.0K
This article presents an experimental/analytic framework to study human postural control. The protocol provides step-by-step procedures for performing standing experiments, measuring body kinematics and kinetics signals, and analyzing the results to provide insight into the mechanisms underlying human postural...
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SpOT the Correct Tissue Every Time in Multi-tissue Blocks06:53

SpOT the Correct Tissue Every Time in Multi-tissue Blocks

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The purpose of the Specimen Orientation Tag (SpOT) is to function as an orientation tool to aid in individual tissue identification in multi-tissue paraffin blocks. These protocols demonstrate how it is constructed easily from common, low-cost histology materials and serves as a reliable visual marker in paraffin blocks and...
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Evaluating Postural Control and Lower-extremity Muscle Activation in Individuals with Chronic Ankle Instability07:52

Evaluating Postural Control and Lower-extremity Muscle Activation in Individuals with Chronic Ankle Instability

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Individuals with chronic ankle instability (CAI) exhibit postural control deficiency and delayed muscle activation of lower extremities. Computerized dynamic posturography combined with surface electromyography provides insights into the coordination of the visual, somatosensory, and vestibular systems with muscle activation regulation to maintain postural stability in individuals with...
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Isolation of Human Lymphatic Endothelial Cells by Multi-parameter Fluorescence-activated Cell Sorting07:36

Isolation of Human Lymphatic Endothelial Cells by Multi-parameter Fluorescence-activated Cell Sorting

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The goal of this protocol is to isolate lymphatic endothelial cells lining human lymphatic malformation cyst-like vessels and foreskins using fluorescence-activated cell sorting (FACS). Subsequent cell culturing and expansion of these cells permits a new level of experimental sophistication for genetic, proteomic, functional and cell differentiation...
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An Instrumented Pull Test to Characterize Postural Responses12:18

An Instrumented Pull Test to Characterize Postural Responses

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Impairment of postural reflexes, termed postural instability, is difficult to quantify. Clinical assessments such as the pull test suffer issues with reliability and scaling. Here, we present an instrumented version of the pull test to objectively characterize postural responses.
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Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans

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Presented here is a detailed protocol for the conduction of three-dimensional cephalometric analysis with the use of human cone beam computed tomography...
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相关实验视频

Updated: Jan 20, 2026

Experimental Methods to Study Human Postural Control
08:12

Experimental Methods to Study Human Postural Control

Published on: September 11, 2019

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一个多代理的LLM网络,建议和纠正人类活动和姿势注释.

Ha Le1, Akshat Choube1, Vedant Das Swain2

  • 1Northeastern University, Boston, MA, USA.

Proceedings of the ... ACM International Conference on Ubiquitous Computing . UbiComp (Conference)
|January 19, 2026
PubMed
概括

像GLOSS这样的大型语言模型 (LLM) 可以通过帮助人们更准确地回忆和注释他们的活动来改善人类活动识别 (HAR). 这种方法有助于为健康监测和行为意识系统创建更好的数据集.

关键词:
人类的姿势和活动测量测量.大型语言模型.无处不在的计算是无处不在的

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相关实验视频

Last Updated: Jan 20, 2026

Experimental Methods to Study Human Postural Control
08:12

Experimental Methods to Study Human Postural Control

Published on: September 11, 2019

10.0K
SpOT the Correct Tissue Every Time in Multi-tissue Blocks
06:53

SpOT the Correct Tissue Every Time in Multi-tissue Blocks

Published on: May 31, 2015

12.3K
Evaluating Postural Control and Lower-extremity Muscle Activation in Individuals with Chronic Ankle Instability
07:52

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科学领域:

  • 计算机科学 计算机科学
  • 人工智能的人工智能
  • 医疗信息学 医疗信息学

背景情况:

  • 准确的人类活动识别 (HAR) 对健康监测和行为意识系统至关重要.
  • 在自由生活环境中收集HAR的大型标记数据集是具有挑战性的,因为依赖于容易出错的自我报告.
  • 语境辅助回忆有助于记忆,但需要繁的数据三角化.

研究的目的:

  • 调整GLOSS多代理LLM系统以协助人类活动回忆和注释.
  • 评估LLM产生的活动建议在改善HAR研究数据质量的有效性.

主要方法:

  • 调整了GLOSS,一个多代理的LLM系统,用于三角化自我报告和被动传感数据.
  • 使用GLOSS建议最可能的活动,协助参与者回忆和注释.
  • 评估了GLOSS建议与人类回忆之间的一致性.

主要成果:

  • GLOSS提供了活动建议,与人类回忆达成63-75%的一致性.
  • 该系统有效地识别和纠正了常见的人类注释错误.
  • 在HAR中展示了基于LLM的,人为循环的方法的潜力.

结论:

  • 用LLM驱动的人在循环系统可以提高活动注释的质量和可扩展性.
  • 在现实研究中,GLOSS显示了改善HAR数据集创建的前景.
  • 这种方法为克服传统自我报告方法的局限性提供了一个实际的解决方案.