Evidence map›Paper›PMID 26151215›Full record

ArticleSensors (Basel, Switzerland)2015

Providing IoT Services in Smart Cities through Dynamic Augmented Reality Markers.

David Chaves-Diéguez, Alexandre Pellitero-Rivero, Daniel García-Coego, Francisco Javier González-Castaño, Pedro Salvador Rodríguez-Hernández, Óscar Piñeiro-Gómez, Felipe Gil-Castiñeira, Enrique Costa-Montenegro

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
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

8 authors.

David Chaves-DiéguezAtlantTIC, Universidade de Vigo, Rúa Maxwell S/N, 36310 Vigo, Spain. dchaves@gradiant.org.
Alexandre Pellitero-RiveroAtlantTIC, Universidade de Vigo, Rúa Maxwell S/N, 36310 Vigo, Spain. apellitero@gradiant.org.
Daniel García-CoegoGalician Research and Development Center in Advanced Telecommunications (GRADIANT), Edif. CITEXVI local 14, Campus Universitario de Vigo, 36310 Vigo, Spain. dgarcia@gradiant.org.
Francisco Javier González-CastañoAtlantTIC, Universidade de Vigo, Rúa Maxwell S/N, 36310 Vigo, Spain. javier@det.uvigo.es.
Pedro Salvador Rodríguez-HernándezAtlantTIC, Universidade de Vigo, Rúa Maxwell S/N, 36310 Vigo, Spain. pedro@det.uvigo.es.
Óscar Piñeiro-GómezGalician Research and Development Center in Advanced Telecommunications (GRADIANT), Edif. CITEXVI local 14, Campus Universitario de Vigo, 36310 Vigo, Spain. opineiro@gradiant.org.
Felipe Gil-CastiñeiraGalician Research and Development Center in Advanced Telecommunications (GRADIANT), Edif. CITEXVI local 14, Campus Universitario de Vigo, 36310 Vigo, Spain. xil@det.uvigo.es.
Enrique Costa-MontenegroAtlantTIC, Universidade de Vigo, Rúa Maxwell S/N, 36310 Vigo, Spain. kike@det.uvigo.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smart cities are expected to improve the quality of life of citizens by relying on new paradigms, such as the Internet of Things (IoT) and its capacity to manage and interconnect thousands of sensors and actuators scattered across the city. At the same time, mobile devices widely assist professional and personal everyday activities. A very good example of the potential of these devices for smart cities is their powerful support for intuitive service interfaces (such as those based on augmented reality (AR)) for non-expert users. In our work, we consider a scenario that combines IoT and AR within a smart city maintenance service to improve the accessibility of sensor and actuator devices in the field, where responsiveness is crucial. In it, depending on the location and needs of each service, data and commands will be transported by an urban communications network or consulted on the spot. Direct AR interaction with urban objects has already been described; it usually relies on 2D visual codes to deliver object identifiers (IDs) to the rendering device to identify object resources. These IDs allow information about the objects to be retrieved from a remote server. In this work, we present a novel solution that replaces static AR markers with dynamic markers based on LED communication, which can be decoded through cameras embedded in smartphones. These dynamic markers can directly deliver sensor information to the rendering device, on top of the object ID, without further network interaction.

Indexed as

augmented realityInternet of Thingssensorssmart cityvisible light communication

Identifiers

PMID26151215
PMCPMC4541869

What OpenQuestion holds

Textmetadata
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.