Real-Time Compression for Tactile Internet Data Streams.

Patrick Seeling, Martin Reisslein, Frank H P Fitzek

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Patrick SeelingDepartment of Computer Science, Central Michigan University, Mount Pleasant, MI 48859, USA.ORCID 0000-0003-2770-0675

Martin ReissleinSchool of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, AZ 85287-5706, USA.ORCID 0000-0003-1606-233X

Frank H P FitzekCentre for Tactile Internet with Human-in-the-Loop, Technische Universität Dresden, 01062 Dresden, Germany.ORCID 0000-0001-8469-9573

Funding

Central Michigan University FRCE-48020Deutsche Forschungsgemeinschaft EXC 2050/1 -- Project ID 390696704

6 · The paper itself

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.

Indexed as

real-time compressiontactile internet

Identifiers

PMID33803484

DOI10.3390/s21051924

PMCPMC7967243

What OpenQuestion holds

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LicenceCC BY

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.