Seeling P, Reisslein M, Fitzek FHP. Real-Time Compression for Tactile Internet Data Streams.
SENSORS (BASEL, SWITZERLAND) 2021;
21:1924. [PMID:
33803484 PMCID:
PMC7967243 DOI:
10.3390/s21051924]
[Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Revised: 03/02/2021] [Accepted: 03/05/2021] [Indexed: 11/16/2022]
Abstract
The Tactile Internet will require ultra-low latencies for combining machines and humans in systems where humans are in the control loop. Real-time and perceptual coding in these systems commonly require content-specific approaches. We present a generic approach based on deliberately reduced number accuracy and evaluate the trade-off between savings achieved and errors introduced with real-world data for kinesthetic movement and tele-surgery. Our combination of bitplane-level accuracy adaptability with perceptual threshold-based limits allows for great flexibility in broad application scenarios. Combining the attainable savings with the relatively small introduced errors enables the optimal selection of a working point for the method in actual implementations.
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