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Virtual Touch Sensor Using a Depth Camera.

Dong-Seok Lee1, Soon-Kak Kwon2

  • 1Department of Computer Software Engineering, Dong-eui University, Busan 47340, Korea. ulsan333@gmail.com.

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Summary
This summary is machine-generated.

This study introduces a virtual touch sensor that uses depth camera technology to detect touch regions and points. It corrects errors from depth picture noise, enabling applications in various touch interfaces.

Keywords:
depth cameradepth picturetouch interfacevirtual touch sensor

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Area of Science:

  • Computer Vision
  • Human-Computer Interaction
  • Sensor Technology

Background:

  • Traditional touch interfaces rely on physical contact.
  • Depth cameras offer a non-contact sensing method.
  • Noise in depth data can impede accurate touch detection.

Purpose of the Study:

  • To propose a virtual touch sensor system using depth camera data.
  • To develop robust methods for detecting touch regions and points.
  • To implement a noise correction filter for improved accuracy and responsiveness.

Main Methods:

  • Touch regions identified by pixel proximity to a surface.
  • Touch points determined by analyzing neighboring pixel distances.
  • A weighted filter corrects touch path errors caused by depth image noise.

Main Results:

  • The virtual touch sensor accurately detects touch regions and points.
  • The implemented filter effectively corrects noise-induced touch path errors.
  • Simulations demonstrate a functional touch-pen interface using the virtual sensor.

Conclusions:

  • The proposed virtual touch sensor offers a viable non-contact sensing solution.
  • The system demonstrates potential for diverse touch interface applications.
  • Further development could enhance performance in complex environments.