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Updated: May 11, 2026

Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy
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有效的基于声学模型的波束成形培训,用于静态和动态的HRI应用

Alejandro Luzanto1, Nicolás Bohmer1, Rodrigo Mahu1

  • 1Speech Processing and Transmission Laboratory, Electrical Engineering Department, University of Chile, Santiago 8370451, Chile.

Sensors (Basel, Switzerland)
|October 26, 2024
PubMed
概括

深度学习光束成型增强了机器人语音识别,用于人机交互 (HRI). 通过测量室内冲动反应 (RIR) 进行训练,可以提高动态环境中的性能,这对第四次工业革命至关重要.

关键词:
自动语音识别自动语音识别基于深度学习的光束成形.室内声学模型 室内声学模型静态和动态的HRI.基于语音的用户配置文件.

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The moment-area method is an analytical tool used in structural engineering to determine the slope and deflection of beams under various loads. Consider a cantilever with a concentrated load and moment at the free end. The first step is constructing a free-body diagram to calculate the reactions at the fixed end. Next, the bending moment diagram is plotted to visualize how the bending moment varies along the beam's length, focusing on points where the bending moment equals zero.
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Analyzing a supported beam under unsymmetrical loadings is essential in structural engineering to understand how beams respond to varied force distributions. This analysis involves calculating the deflection and identifying points where the slope of the beam is zero, which are crucial for ensuring structural stability and functionality.
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