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The Tactile Internet needs ultra-low latency. This study introduces a generic method reducing number accuracy to balance data savings and errors for kinesthetic movement and telesurgery, enabling flexible applications.

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Area of Science:

  • Engineering
  • Computer Science
  • Human-Computer Interaction

Background:

  • The Tactile Internet demands ultra-low latency for human-machine systems.
  • Current real-time and perceptual coding methods are often content-specific.

Purpose of the Study:

  • To present a generic approach for data compression in Tactile Internet applications.
  • To evaluate the trade-off between data savings and introduced errors using reduced number accuracy.

Main Methods:

  • A generic approach reducing number accuracy.
  • Bitplane-level accuracy adaptability combined with perceptual threshold-based limits.
  • Evaluation using real-world data for kinesthetic movement and telesurgery.

Main Results:

  • Demonstrated a flexible method applicable to broad scenarios.
  • Quantified the trade-off between data compression savings and introduced errors.
  • Showcased the feasibility of selecting optimal working points for implementation.

Conclusions:

  • The proposed generic method offers flexibility and efficiency for Tactile Internet applications.
  • Reduced number accuracy is a viable strategy for balancing data savings and perceptual quality.
  • The approach enables optimal selection of parameters for real-world implementations.