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関連する概念動画

Masking and Demasking Agents01:19

Masking and Demasking Agents

3.4K
EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...
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Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

218
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
218
Force Classification01:22

Force Classification

2.3K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
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関連する実験動画

Updated: Jan 18, 2026

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
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多様で堅牢なジェスチャー認識のためのスケーラブルなツールとしての仮想エージェント

Lisa Loy1, James P Trujillo2, Floris Roelofsen1

  • 1University of Amsterdam, Science Park 900, Amsterdam, 1098 XG, UK.

Behavior research methods
|January 16, 2026
PubMed
まとめ

仮想エージェントを使用したジェスチャー認識アルゴリズムのトレーニングは、データ制限を克服し、カスタマイズ性を向上させます。このアプローチは、モデルの効果的なトレーニングと環境影響の評価を行い、マルチモーダルコミュニケーション研究における転移性を強化します。

キーワード:
アバタージェスチャー認識合成データ仮想エージェント

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