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Interfaz interactiva natural orientada a objetos acoplada al cuerpo

Jianlong Hong1, Yukun Xiao1, Yuqi Chen1

  • 1Interdisciplinary Research Center, School of Electronic Science and Engineering, Southeast University, Nanjing, 211189, China.

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PubMed
Resumen
Este resumen es generado por máquina.

Este estudio introduce una interfaz transparente y extensible para la colaboración avanzada hombre-máquina en el metaverso. Ofrece precisión táctil en 2D y detección espacial en 3D, lo que permite un control sin fisuras de múltiples dispositivos.

Palabras clave:
Detección espacial en 3DAcoplamiento electromagnético acoplado al cuerpoInteracción hombre-máquinadetección táctilreconstrucción de la trayectoria

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Área de la Ciencia:

  • Interacción hombre-computadora
  • Ciencias de los materiales
  • La robótica

Sus antecedentes:

  • El metaverso requiere sofisticadas interfaces de colaboración hombre-máquina.
  • Las interfaces actuales carecen de precisión y adaptabilidad para interacciones complejas.

Objetivo del estudio:

  • Desarrollar una interfaz de detección transparente y extensible para la percepción espacial táctil 2D y 3D sinérgica.
  • Mejorar la eficiencia de la interacción hombre-máquina (IMH) a través de un nuevo marco.

Principales métodos:

  • Se utiliza un acoplamiento electromagnético acoplado al cuerpo con mecanismos bimodales (resistivos y capacitivos).
  • Detección táctil 2D integrada a escala micrométrica y percepción espacial 3D hasta un rango de 200 mm.
  • Desarrolló un marco HMI orientado a objetos para el control de múltiples dispositivos a través de firmas electromagnéticas.

Principales resultados:

  • Reconstrucción de trayectoria de caligrafía (200 μm de precisión) con detección táctil de fuerza en modo de contacto.
  • Reconoce 38 gestos con un 97.11% de precisión en modo sin contacto.
  • Se ha demostrado la integración sin costuras en superficies curvas (guantes, ropa) sin interferencias perceptivas.

Conclusiones:

  • La interfaz desarrollada mejora significativamente la eficiencia de la colaboración en escenarios de hombre-máquina múltiple.
  • Esta tecnología tiene potencial para aplicaciones en atención médica inteligente, robótica industrial y realidad aumentada.